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1. Influence of Distance and Near Visual Impairment on Self-Reported Near Visual Functioning in a Multinational Study

Author: Mingguang He, Xiaotong Han, Jialiang Zhao, Kovin Naidoo, Ravilla D. Thulasiraj, Rohit Varma, Leon B. Ellwein, Yuddha Dhoj Sapkota, and Amza Abdou
Subjects: Adult, Male, Rural Population, Internationality, Urban Population, Reference site, Visual impairment, Population, Vision Disorders, Visual Acuity, Global Health, Near visual acuity, 03 medical and health sciences, Age Distribution, 0302 clinical medicine, Surveys and Questionnaires, medicine, Humans, Sex Distribution, education, Aged, 030304 developmental biology, Social functioning, Aged, 80 and over, Vision, Binocular, 0303 health sciences, education.field_of_study, business.industry, Outcome measures, Regression analysis, Presbyopia, Middle Aged, Ophthalmology, Cross-Sectional Studies, 030221 ophthalmology & optometry, Female, Cluster sampling, Self Report, medicine.symptom, business, Visually Impaired Persons, Demography
Abstract: Purpose To assess the influence of distance and near visual impairment on self-reported near visual functioning (VF) among adults in a multi-country study. Design Population-based cross-sectional study. Participants Participants aged ≥35 years were randomly selected with cluster sampling at seven sites: rural sites in Nepal (Kaski) and India (Madurai), a semi-rural site in China (Shunyi), semi-urban sites in South Africa (Durban) and Niger (Dosso), and urban sites in the United States (Los Angeles) and China (Guangzhou). Methods Binocular presenting distance and near visual acuity (VA) were measured with a LogMAR tumbling E chart at 4 meters and 40 cm, respectively. A 12-item near VF questionnaire interview was administered by trained local interviewers, with responses scored from 100 to 0 as visual “disability” increased. Multiple linear regression was used to investigate the association of age, gender, education and VA with overall eyesight, difficulty with activities and social functioning subscale scores. Main Outcome Measures VF subscale scores. Results The study sample consisted of 6,851 questionnaire respondents. The VF subscale scores decreased significantly with worse distance and near VA, and even mildly impaired VA could result in reduced VF at all sites. In multiple linear regression modeling, lower VF subscale scores were associated with older age in four sites, female gender in three sites, and greater education in two sites. The influence of near VA was greater than that of distance VA in three sites, and in one site distance VA was more influential than near VA. With study site included in the regression modeling, lower scores for the overall eyesight subscale (compared to the Shunyi reference site) were found in Guangzhou, Kaski and Durban; lower difficulty in activities scores were found in Kaski and Durban, but better scores in Guangzhou and Madurai; social functioning scores were lower in Kaski, Durban and Dosso. Conclusions Along the entire VA spectrum, lower levels of distance and near VA led to significant reductions in VF subscale scores, with wide variation both within and between study sites. The impact of near vision on VF should receive greater emphasis with further investigation in various socio-economic and cultural settings.
Published: 2021

2. Development of a diabetic retinopathy screening model for a district health system in Limpopo Province, South Africa

Author: Zaheera Abdool, Kovin Naidoo, and Linda Visser
Subjects: diabetic retinopathy, Ophthalmology, business.industry, Environmental health, Diabetic retinopathy screening, district health system, education, screening model, Medicine, RE1-994, business
Abstract: Background: Diabetes mellitus (DM) and diabetic retinopathy (DR) are important issues in the district health system (DHS) of South Africa (SA). Guidelines for the management of DR in SA were developed more than a decade ago but not effectively implemented.Aim: The aim of this study was to develop a suitable model for DR that could be effectively implemented by a team of healthcare practitioners (HCPs) to co-manage DM and DR in the DHS of SA.Setting: The study was conducted through Voortrekker District Hospital, Limpopo Province, SA.Methods: A saturated strategy sample study was employed, and questionnaires were distributed to 24 endocrinologists in both private and public practices in Gauteng Province and to three ophthalmologists and 10 medical officers (MOs) in ophthalmology in health institutions in Waterberg and Capricorn districts of Limpopo Province. The questionnaires distributed included questions relating to the recommended roles of primary healthcare (PHC) nurses, MOs in general practice, MOs in ophthalmology, ophthalmic nurses, optometrists, and ophthalmologists to manage patients with DM in the public sector. The Delphi technique was employed requiring experts to comment qualitatively and quantitatively to elicit the required information.Results: At PHC level, PHC nurses are to document a comprehensive patient case history and assess vitals before referring to MOs in general practice. Medical officers in general practice are to assess DM control and screen for target organ disease. All patients with DM are to be referred to optometrists for retinal photography. Optometrists and ophthalmic nurses are to detect, grade and monitor pre-proliferative stages of DR, and refer to MOs in ophthalmology or ophthalmologists at district or tertiary hospitals for surgical intervention or treatment.Conclusion: Based on the expertise of the endocrinologists and ophthalmologists concerned, a DR screening model for a DHS was proposed, reflecting the role of HCPs in the management of DM and DR in the DHS of Limpopo Province, SA.
Published: 2021

3. An assessment of human resource distribution for public eye health services in KwaZulu-Natal, South Africa

Author: Zamadonda N.Q. Xulu-Kasaba, Khathutshelo P. Mashige, and Kovin Naidoo
Subjects: Refractive error, medicine.medical_specialty, kwazulu-natal, south africa, genetic structures, medicine.medical_treatment, Population, Visual impairment, visual impairment, Distribution (economics), public eye health services, human resources for eye health, eye care, Medicine, education, Human resources, education.field_of_study, business.industry, Public sector, RE1-994, Cataract surgery, medicine.disease, eye diseases, Ophthalmology, Family medicine, Workforce, medicine.symptom, business
Abstract: Background: The development of human resources for eye health (HReH), aimed at achieving a 25% reduction in visual impairment by the year 2020, was one of the VISION 2020 objectives. Aim: To assess HReH in the public sector of KwaZulu-Natal (KZN), and its effect on the accessibility of eye care in the province. Setting: All public eye facilities in KZN. Methods: A quantitative cross-sectional study using a close-ended questionnaire to assess distribution and outputs of HReH. At the end of the questionnaire, respondents gave general comments on their ability to provide services. Results: Human resource rates were 0.89 for ophthalmologists, 2.44 for cataract surgeons, 4.8 for optometrists and 4.7 for ophthalmic nurses per 1 million population. Most health facilities had some HReH working in them, albeit none had dispensing opticians. Regression analysis showed that 67.1% of variation in cataract surgery was because of the number of surgeons available. Cataract surgical rates were low with a waiting period of up to 18 months. In addition to the refractive error regression analysis of 33.7%, spectacle supply was low, with a backlog of up to 9 months in some facilities. Conclusion: Overall, HReH targets as per VISION 2020 and the National Prevention of Blindness have not been met in this region. Dispensing opticians are not employed in any of the province’s health districts. An increase in the eye health workforce is necessary to improve the eye health outcomes for people dependent on public eye facilities.
Published: 2021

4. Prevalence of Refractive Error, Presbyopia, and Spectacle Coverage in Bogotá, Colombia: A Rapid Assessment of Refractive Error

Author: Juan Carlos Silva, Thomas Naduvilath, Leonardo Yobany Álvarez Ramírez, Fernando Yaacov Pena, Ving Fai Chan, Luisa Casas Luque, Kovin Naidoo, and Myriam Mayorga
Subjects: Adult, Male, Refractive error, Adolescent, Cross-sectional study, Visual impairment, Visual Acuity, Colombia, Health Services Accessibility, Young Adult, 03 medical and health sciences, Age Distribution, 0302 clinical medicine, Prevalence, medicine, Humans, Vision test, Sex Distribution, Aged, Aged, 80 and over, business.industry, Vision Tests, Presbyopia, Middle Aged, Refractive Errors, medicine.disease, Rapid assessment, Ophthalmology, Cross-Sectional Studies, Eyeglasses, 030221 ophthalmology & optometry, Optometry, Female, Age distribution, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: SIGNIFICANCE: Uncorrected refractive error is the leading cause of visual impairment; therefore, reducing its prevalence is important worldwide. For two decades, there has not been a comprehensive assessment of refractive error in Latin America. PURPOSE: The purpose of this study was to determine the current prevalence of refractive error, presbyopia, spectacle coverage, barriers to uptake refractive services, and spectacle correction in people 15 years and older in Bogotá, Colombia. METHODS: A cross-sectional community-based survey was conducted using 50 randomly selected clusters from 10 districts of Bogotá reflecting the socioeconomic status of the city. Respondents 15 years and older were interviewed and underwent standardized clinical eye examinations. Prevalence of uncorrected refractive error, spectacle coverage, and visual impairment were standardized to 2015 age-sex population distribution of Bogotá and further analyzed. RESULTS: A total of 2886 subjects (90% of 3206 eligible subjects) participated in the study; 39.1% were male and 60.9% were female in the age range of 15 to 96 years, with a median age of 46 years (interquartile range, 45 to 54 years). Age- and sex-standardized prevalence of visual impairment was 19.3% (95% confidence interval [CI], 17.8 to 20.8%). Prevalence of uncorrected refractive error was 12.5% (95% CI, 11.3 to 13.7%). Prevalence of presbyopia among participants 35 years and older was 55.2% (95% CI, 52.9 to 57.4%). Spectacle coverage was 50.9% for distance vision, and it was 33.9% for presbyopia. Main barrier to spectacle uptake was a limitation in affording spectacles because of economic factors (29.5%). CONCLUSIONS: This study provides a current estimate of refractive error using the Rapid Assessment of Refractive Error for Colombia and the Latin American region. The prevalence of uncorrected refractive error and presbyopia was high, and the barriers to spectacle uptake were higher in the lowest socioeconomic strata. The results obtained in the present study will help in making evidence-based decisions related to eye care service delivery in Colombia.
Published: 2019

5. Potential Lost Productivity Resulting from the Global Burden of Myopia

Author: Thomas Naduvilath, Kevin D. Frick, Timothy R. Fricke, Padmaja Sankaridurg, Kovin Naidoo, Monica Jong, and Serge Resnikoff
Subjects: 0303 health sciences, genetic structures, business.industry, eye diseases, Confidence interval, Gross domestic product, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Urbanization, 030221 ophthalmology & optometry, Per capita, Medicine, Human Development Index, Rural area, business, Productivity, Developed country, 030304 developmental biology, Demography
Abstract: Purpose We estimated the potential global economic productivity loss resulting from vision impairment (VI) and blindness as a result of uncorrected myopia and myopic macular degeneration (MMD) in 2015. Clinical Relevance Understanding the economic burden of VI associated with myopia is critical to addressing myopia as an increasingly prevalent public health problem. Methods We estimated the number of people with myopia and MMD corresponding to critical visual acuity thresholds. Spectacle correction coverage was analyzed against country-level variables from the year of data collection; variation in spectacle correction was described best by a model based on a human development index, with adjustments for urbanization and age. Spectacle correction and myopia data were combined to estimate the number of people with each level of VI resulting from uncorrected myopia. We then applied disability weights, labor force participation rates, employment rates, and gross domestic product per capita to estimate the potential productivity lost among individuals with each level and type of VI resulting from myopia in 2015 in United States dollars (US$). An estimate of care-associated productivity loss also was included. Results People with myopia are less likely to have adequate optical correction if they are older and live in a rural area of a less developed country. The global potential productivity loss associated with the burden of VI in 2015 was estimated at US$244 billion (95% confidence interval [CI], US$49 billion–US$697 billion) from uncorrected myopia and US$6 billion (95% CI, US$2 billion—US$17 billion) from MMD. Our estimates suggest that the Southeast Asia, South Asia, and East Asia Global Burden of Disease regions bear the greatest potential burden as a proportion of their economic activity, whereas East Asia bears the greatest potential burden in absolute terms. Conclusions Even under conservative assumptions, the potential productivity loss associated with VI and blindness resulting from uncorrected myopia is substantially greater than the cost of correcting myopia.
Published: 2019

6. IMI - Myopia Control Reports Overview and Introduction

Author: David Troilo, Caroline C W Klaver, Lyndon Jones, Daniel Ian Flitcroft, James S. Wolffsohn, Nicola S Logan, Christine F. Wildsoet, Serge Resnikoff, Kate L. Gifford, Monica Jong, Kovin Naidoo, Padmaja Sankaridurg, and Earl L. Smith
Subjects: 0301 basic medicine, genetic structures, myopia control, Psychological intervention, MEDLINE, Key issues, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], law.invention, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, 0302 clinical medicine, Randomized controlled trial, law, Medicine and Health Sciences, definition, Medicine, interventions, Research evidence, myopic progression, Special Issue, business.industry, Disease progression, eye diseases, Clinical trial, 030104 developmental biology, clinical guidelines, 030221 ophthalmology & optometry, Optometry, Approaches of management, sense organs, business
Abstract: With the growing prevalence of myopia, already at epidemic levels in some countries, there is an urgent need for new management approaches. However, with the increasing number of research publications on the topic of myopia control, there is also a clear necessity for agreement and guidance on key issues, including on how myopia should be defined and how interventions, validated by well-conducted clinical trials, should be appropriately and ethically applied. The International Myopia Institute (IMI) reports the critical review and synthesis of the research evidence to date, from animal models, genetics, clinical studies, and randomized controlled trials, by more than 85 multidisciplinary experts in the field, as the basis for the recommendations contained therein. As background to the need for myopia control, the risk factors for myopia onset and progression are reviewed. The seven generated reports are summarized: (1) Defining and Classifying Myopia, (2) Experimental Models of Emmetropization and Myopia, (3) Myopia Genetics, (4) Interventions for Myopia Onset and Progression, (5) Clinical Myopia Control Trials and Instrumentation, (6) Industry Guidelines and Ethical Considerations for Myopia Control, and (7) Clinical Myopia Management Guidelines.
Published: 2019

7. Implementation and evaluation of a team approach to managing diabetes mellitus and diabetic retinopathy in the South African district health system

Author: Linda Visser, Kovin Naidoo, and Zaheera Abdool
Subjects: screening programme, medicine.medical_specialty, Visual acuity, Referral, business.industry, Primary health care, Diabetic retinopathy, Retinal photography, RE1-994, medicine.disease, primary health care, diabetic retinopathy, Ophthalmology, Diabetes mellitus, Family medicine, Health care, diabetes mellitus, district health system, medicine, Population study, health care practitioners, medicine.symptom, business
Abstract: Background: Diabetic retinopathy (DR) screening programmes have been developed and implemented in different countries based on availability of resources. Most protocols developed for DR have been solely dedicated to DR screening without involving systemic screening. Aim: To implement and evaluate a DR screening model utilising a team of healthcare practitioners (HCPs) to manage diabetes mellitus (DM) to reduce DR progression. Setting: Primary healthcare clinics and Voortrekker hospital in Waterberg district of Limpopo province. Methods: A cross-sectional study was conducted, in which a total of 107 patients with DM from seven clinics consented to participation. A proposed DR screening model was implemented where patients with DM were screened for systemic complications at clinics and referred to Voortrekker district hospital for retinal photography. Questionnaire responses evaluated the success of the screening process and operational challenges. Results: From the study population, 32 (29.1%) were male and 75 (70.1%) were female. The mean age of patients was 63.7 years with a mean weight of 80.69 kg. The mean duration of DM was 9.26 years and the mean haemoglobin A1c (HbA1c) level was 9.7%. From the 47 patients who had visual acuity less than 6/9, 74.5% had refractive error. About 10% (9.4%) had DR or diabetic macular oedema (DME) and 38.3% had other lesions. Referral to an ophthalmologist was necessary in 36.5% of cases. Conclusion: The implementation of a team approach to co-manage DM and DR utilising the developed protocol improved the quality of care for patients with DM in the district health system.
Published: 2021

8. The prevalence and causes of low vision and blindness amongst learners at the Akropong School for the Blind in Ghana

Author: Pirindhavellie Govender-Poonsamy, Khathutshelo P. Mashige, Michael Agyemang Kwarteng, Kovin Naidoo, and Samuel Bert Boadi-Kusi
Subjects: school for the blind, genetic structures, prevalence, Glaucoma, 030501 epidemiology, low vision, 03 medical and health sciences, 0302 clinical medicine, Quality of life, LogMAR chart, Medicine, ghana, Slit lamp, business.industry, RE1-994, medicine.disease, eye diseases, Low vision, Ophthalmology, 030221 ophthalmology & optometry, Optometry, sense organs, Phthisis bulbi, 0305 other medical science, business, Pseudophakia, blindness, Retinopathy
Abstract: Background: Low vision and blindness have significant implications, resulting in a generally reduced quality of life amongst the sufferers. Aim: To determine the prevalence and causes of low vision and blindness amongst learners at the Akropong School for the Blind. Setting: The study was conducted in Akropong School for the Blind, Ghana. Methods: A cross-sectional study design was used. Eye examinations included measurements of presenting distance visual acuity (PDVA) with the Tumbling ‘E’ distance LogMAR chart. Anterior and posterior segments were examined with an ophthalmoscope and a slit lamp. Results: Two hundred and sixty-eight ( N = 268) learners comprising 157 (58.6%) males and 111 (41.4%) females took part in this study and their ages ranged from 4 to 43 years (mean and standard deviation [SD] = 15.79 ± 6.15 years). The results indicated that 76.1% were classified as blind and 23.9% of the learners had low vision. The leading cause of low vision was glaucoma (39.1%) followed by pseudophakia (21.9%) and retinopathy (18.8%). The most common causes of low vision and blindness based on pathology found on ocular anatomical structures were corneal opacity/phthisis bulbi (35.5%), followed by glaucoma (25%), cataract (13.4%) and retinopathy (10.8%). Conclusion: The leading causes of low vision and blindness identified in this study were because of avoidable diseases such as corneal opacity/phthisis bulbi and glaucoma. This highlighted the need for adequate primary eye care services, equitable eye health workforce distribution and eye health awareness in Ghana to help prevent low vision and blindness.
Published: 2021

9. Myopia control in the 21st century: A review of optical methods (2000–2019)

Author: Samuel Otabor Wajuihian, Kovin Naidoo, and Tope R. Akinbinu
Subjects: Refractive error, genetic structures, myopia control, medicine.medical_treatment, orthokeratology, Glaucoma, law.invention, lcsh:Ophthalmology, law, bifocals, medicine, Progressive addition lenses, business.industry, Orthokeratology, High myopia, Retinal detachment, medicine.disease, eye diseases, contact lenses, Contact lens, Lens (optics), under-correction, lcsh:RE1-994, Optometry, progressive addition lenses, sense organs, business
Abstract: Background: Without appropriate interventions, simple or low myopia can progressively get worse and lead to high myopia. Patients with high myopia are at a greater risk of developing retinal detachment, myopic macular degeneration, glaucoma and eventual blindness in some cases, and hence the reason for the global call for myopia control. Consequently, myopia in the 21st century is not only treated as a refractive error but an ocular disorder with potential negative consequences. Myopia control strategies include optical, pharmacological and behavioural methods. In this report, the effectiveness of optical methods of myopia control was reviewed. Aim: The aim of the review is to evaluate and summarise existing knowledge on myopia control and provide recommendations to guide future studies. Method: The review was conducted using online search engines including PubMed and Google Scholar. Articles published between 2000 and 2019 were included. Results: For the optical methods of myopia control, under-correction has been found to be largely ineffective. However, a recent study shows that myopic children without correction had slower myopia progression (−0.75 D) than fully corrected children (−1.04 D) indicating a 28% reduction. Evidence from various studies indicates that bifocals and progressive addition lenses are not as effective as soft dual focus contact lenses or extended depth of focus contact lenses. Clinical trials indicate that single vision rigid gas permeable lenses did not slow myopic progression. Peripheral defocus lenses and orthokeratology were found to be approximately 50% effective across studies reviewed. Conclusion: Peripheral defocus lenses and multifocal contact lens designs offer the most effective myopia control. Orthokeratology is equally effective but future designs should consider ways of minimising risks of complications with lens wear. More studies would be needed to better understand how under-corrected myopic eyes tend to progress faster, whereas myopic eyes without correction tend to progress slower. A holistic approach and combination of methods may offer the best form of myopia control in the 21st century considering the increase in near work activities and use of digital devices among the most vulnerable groups.
Published: 2020

10. Prevalence and determinants of visual impairment amongst school-aged children in Southern Nigeria

Author: Kovin Naidoo, E. E. Ekanem, Bernadine N. Ekpenyong, Margaret Akpan, and Antor O. Ndep
Subjects: Refractive error, genetic structures, Visual impairment, school-aged children, prevalence, Glaucoma, visual impairment, 030501 epidemiology, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, medicine, Cross river, refractive error, School age child, business.industry, Odds ratio, medicine.disease, Confidence interval, lcsh:RE1-994, 030221 ophthalmology & optometry, medicine.symptom, 0305 other medical science, business, Demography
Abstract: Background: Visual impairment among school children is relatively common and research provides evidence for integration of comprehensive eye care into school health programmes. Aim: To determine the prevalence and determinants of visual impairment in school-aged children in Southern Nigeria. Setting: School aged children from 10 public and private-owned schools in Cross River State, Southern Nigeria. Methods: This cross-sectional analytic study used a multistage random sampling technique to select 2418 school children aged 6–17 years. Comprehensive eye examinations were performed on the study. The logistic regression analysis with 95% confidence interval (CI) was used to test hypotheses. Results: Of the 2418 school children selected, 2110 (87%) were assessed. The prevalence ‘of uncorrected, presenting and best corrected visual acuity of 0.3 (20/40) or worse in the better eye’ was 7.3%, 7.2% and 0.19%, respectively. Errors of refraction were the cause of the impairment in 198 (70.7%; 63.5–76.0) eyes with reduced vision, followed by glaucoma suspects 38 (19.2%; 13.8–24.8), amblyopia (3.0%; 1.1–6.4) and corneal opacity 3 (1.5%; 0.3–4.3). The major and independent predictors of visual impairment were age (adjusted odds ratio [AOR] 1.97, 95% 1.45–2.67), high socio-economic status (adjusted odds ratio [AOR] 1.68, 95% 1.36–2.09) and female gender (AOR 1.35, 95% 1.00–1.88). Conclusion: The common causes of visual impairment in school-aged children are avoidable, and are mostly because of uncorrected refractive error, which could reflect inadequate refractive error services in the area.
Published: 2020

11. Impact of spectacles wear on uncorrected visual acuity among urban migrant primary school children in China: a cluster-randomised clinical trial

Author: Xiaochen Ma, Ling Jin, Haiqing Zhang, Kovin Naidoo, Ming Zhou, Xiuqing Wang, Hasan Minto, Xinwu Zhang, Scott Rozelle, Yue Ma, Nathan Congdon, Hongmei Yi, and Haidong Zou
Subjects: Male, medicine.medical_specialty, China, Urban Population, Psychological intervention, Visual Acuity, Uncorrected visual acuity, Disease cluster, Refraction, Ocular, Glasses prescription, Treatment and control groups, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Vision Screening, Epidemiology, medicine, Humans, 030212 general & internal medicine, Child, Transients and Migrants, Schools, business.industry, Public health, Refractive Errors, Sensory Systems, Clinical trial, Ophthalmology, Eyeglasses, Treatment Outcome, 030221 ophthalmology & optometry, Physical therapy, Female, business
Abstract: ObjectiveTo estimate the effect of providing free spectacles on uncorrected visual acuity (VA) among urban migrant Chinese school children.DesignExploratory analysis from a parallel cluster-randomised clinical trial.MethodsAfter baseline survey and VA screening, eligible children were randomised by school to receive one of the two interventions: free glasses and a teacher incentive (tablet computer if ≥80% of children given glasses were wearing them on un-announced examination) (treatment group) or glasses prescription and letter to parents (control group). The primary outcome was uncorrected logarithm of the minimal angle of resolution (LogMAR) VA at study closeout, adjusted for baseline uncorrected VA.ResultsAmong 4376 randomly selected children, 728 (16.6%, mean age 10.9 years, 51.0% boys) at 94 schools failed VA screening and met eligibility criteria. Of these, 358 children (49.2%) at 47 schools were randomised to treatment and 370 children (50.8%) at 47 schools to control. Among these, 679 children (93.3%) completed follow-up and underwent analysis. Spectacle wear in the treatment and control groups was 68.3% and 29.3% (pConclusionWe found no evidence that spectacles wear worsens children’s uncorrected VA among urban migrant Chinese school children.
Published: 2020

12. Global Prevalence of Presbyopia and Vision Impairment from Uncorrected Presbyopia

Author: Serge Resnikoff, Anthea Burnett, Thomas Naduvilath, Eric B. Papas, Timothy R. Fricke, Nina Tahhan, Suit May Ho, and Kovin Naidoo
Subjects: genetic structures, business.industry, Presbyopia, medicine.disease, Confidence interval, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Urbanization, Meta-analysis, 030221 ophthalmology & optometry, medicine, Global health, 030212 general & internal medicine, Rural area, business, Developed country, Dioptre, Demography
Abstract: Topic Presbyopia prevalence and spectacle-correction coverage were estimated by systematic review and meta-analysis of epidemiologic evidence, then modeled to expand to country, region, and global estimates. Clinical Relevance Understanding presbyopia epidemiologic factors and correction coverage is critical to overcoming the burden of vision impairment (VI) from uncorrected presbyopia. Methods We performed systematic reviews of presbyopia prevalence and spectacle-correction coverage. Accepted presbyopia prevalence data were gathered into 5-year age groups from 0 to 90 years or older and meta-analyzed within World Health Organization global burden of disease regions. We developed a model based on amplitude of accommodation adjusted for myopia rates to match the regionally meta-analyzed presbyopia prevalence. Presbyopia spectacle-correction coverage was analyzed against country-level variables from the year of data collection; variation in correction coverage was described best by a model based on the Human Development Index, Gini coefficient, and health expenditure, with adjustments for age and urbanization. We used the models to estimate presbyopia prevalence and spectacle-correction coverage in each age group in urban and rural areas of every country in the world, and combined with population data to estimate the number of people with near VI. Results We estimate there were 1.8 billion people (prevalence, 25%; 95% confidence interval [CI], 1.7–2.0 billion [23%–27%]) globally with presbyopia in 2015, 826 million (95% CI, 686–960 million) of whom had near VI because they had no, or inadequate, vision correction. Global unmet need for presbyopia correction in 2015 is estimated to be 45% (95% CI, 41%–49%). People with presbyopia are more likely to have adequate optical correction if they live in an urban area of a more developed country with higher health expenditure and lower inequality. Conclusions There is a significant burden of VI from uncorrected presbyopia, with the greatest burden in rural areas of low-resource countries.
Published: 2018

13. Global prevalence of visual impairment associated with myopic macular degeneration and temporal trends from 2000 through 2050: systematic review, meta-analysis and modelling

Author: Thomas Naduvilath, Serge Resnikoff, Kovin Naidoo, Padmaja Sankaridurg, Monica Jong, Tien Yin Wong, Suit May Ho, and Timothy R. Fricke
Subjects: 0301 basic medicine, macular degeneration, Visual acuity, prevalence, Visual impairment, visual impairment, Visual Acuity, Psychological intervention, Blindness, Global Health, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Global health, Humans, Medicine, myopia, Data collection, business.industry, Models, Theoretical, Macular degeneration, medicine.disease, Sensory Systems, Myopic macular degeneration, Global Issues, Ophthalmology, 030104 developmental biology, Meta-analysis, Myopia, Degenerative, 030221 ophthalmology & optometry, medicine.symptom, business, Visually Impaired Persons, Demography
Abstract: PurposeWe used systematic review and meta-analysis to identify and assimilate evidence quantifying blindness and visual impairment (VI) associated with myopic macular degeneration (MMD), then derived models to predict global patterns. The models were used to estimate the global prevalence of blindness and VI associated with MMD from 2000 to 2050.MethodsThe systematic review identified 17 papers with prevalence data for MMD VI fitting our inclusion criteria. Data from six papers with age-specific data were scaled to relative age-dependent risk and meta-analysed at VI and blindness levels. We analysed variance in all MMD VI and blindness data as a proportion of high myopia against variables from the place and year of data collection, with a model based on health expenditure providing the best correlation. We used this model to estimate the prevalence and number of people with MMD VI in each country in each decade.ResultsWe included data from 17 studies comprising 137 514 participants. We estimated 10.0 million people had VI from MMD in 2015 (prevalence 0.13%, 95% CI 5.5 to 23.7 million, 0.07% to 0.34%), 3.3 million of whom were blind (0.04%, 1.8 to 7.8 million, 0.03% to 0.10%). We estimate that by 2050, without changing current interventions, VI from MMD will grow to 55.7 million people (0.57%, 29.0 to 119.7 million, 0.33% to 1.11%), 18.5 million of whom will be blind (0.19%, 9.6 to 39.7 million, 0.11% to 0.37%).ConclusionThe burden of MMD blindness and VI will rise significantly without efforts to reduce the development and progression of myopia and improve the management of MMD.
Published: 2018

14. Knowledge, Attitudes and Practices of Eye Health among Public Sector Eye Health Workers in South Africa

Author: Kovin Naidoo, Khathutshelo P. Mashige, and Zamadonda N.Q. Xulu-Kasaba
Subjects: Health Knowledge, Attitudes, Practice, avoidable blindness, medicine.medical_specialty, Health Personnel, Health, Toxicology and Mutagenesis, Visual impairment, visual impairment, Eye care, human resources for eye health, Article, South Africa, eye health, Surveys and Questionnaires, Eye health, medicine, Humans, Binary logistic regression analysis, public health, eye health directorate, Human resources, Public Sector, business.industry, Public health, Public sector, Public Health, Environmental and Occupational Health, Cross-Sectional Studies, Family medicine, Medicine, Organizational structure, medicine.symptom, Psychology, business
Abstract: In South Africa, primary eye care is largely challenged in its organisational structure, availability of human and other resources, and clinical competency. These do meet the standard required by the National Department of Health. This study seeks to assess the levels of knowledge, attitudes, and practices on eye health amongst Human Resources for eye health (HReH) and their managers, as no study has assessed this previously. A cross-sectional study was conducted in 11 districts of a South African province. A total of 101 participants completed self-administered, close-ended, Likert-scaled questionnaires anonymously. Binary logistic regression analysis was conducted, and values of p < 0.05 were considered statistically significant. Most participants had adequate knowledge (81.6%), positive attitudes (69%), and satisfactory practices (73%) in eye health. HReH showed better knowledge than their managers (p < 0.01). Participants with a university degree, those aged 30–44 years, and those employed for p < 0.05) towards their work. Managers, who supervise and plan for eye health, were 99% less likely to practice adequately in eye health when compared with HReH (aOR = 0.012; p < 0.01). Practices in eye health were best amongst participants with an undergraduate degree, those aged 30–44 years (aOR = 2.603; p < 0.05), and participants with p < 0.01). Knowledge, attitudes, and practices were found to be significantly moderately correlated with each other (p < 0.05). Eye health managers have poorer knowledge and practices of eye health than the HReH. A lack of direction is presented by the lack of adequately trained directorates for eye health. It is therefore recommended that policymakers review appointment requirements to ensure that adequately trained and qualified directorates be appointed to manage eye health in each district.
Published: 2021

15. Design and methodology of the Shanghai child and adolescent large-scale eye study (SCALE)

Author: Kovin Naidoo, Earl L. Smith, Padmaja Sankaridurg, Rong Zhao, Haidong Zou, Xiangui He, Thomas Naduvilath, Yingyan Ma, Lina Lu, Jianfeng Zhu, Serge Resnikoff, Minzhi Lv, and Xun Xu
Subjects: Gerontology, Distance visual acuity, Visual acuity, genetic structures, business.industry, Outcome measures, High myopia, Mean age, Metropolitan area, eye diseases, Child and adolescent, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Scale (social sciences), 030221 ophthalmology & optometry, Medicine, Optometry, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Importance Nearly half of children suffering vision impairment reside in China with myopia accounting for the vast majority. Background To describe the design and methodology of the Shanghai Child and Adolescent Large-scale Eye Study (SCALE). Design The SCALE was a city wide, school-based, prospective survey. Participants Children and adolescents aged 4 to 14 years from kindergarten (middle and senior), primary schools and junior high schools of all 17 districts and counties of the city of Shanghai, China were examined in 2012-2013. Methods Each enrolled child underwent vision assessment (distance visual acuity; uncorrected and with corrective device if worn) and their parent/carer completed a questionnaire designed to elicit risk factors associated with myopia. Additionally, non-cycloplegic autorefraction and ocular axial length was measured in a sub-set of the larger sample.. Main Outcome Measures Prevalence and the associated factors of vision impairment, myopia and high myopia in Shanghai. Results In 2012-2013, a total of 910,245 of the eligible 1,196,763 children and adolescents identified from census (76%, mean age 9.0 ± 2.7 years (4- 14 years)) were enrolled with visual acuity screened in the city of Shanghai. Of these, 610,952 children (67% of the entire sample) underwent non-cycloplegic autorefraction and 219,188 (24% of the entire sample) had both non-cycloplegic autorefraction and axial length measurements. Conclusions and Relevance The study results will provide insights on the burden of vision impairment, myopia and high myopia in children and adolescents in a metropolitan area of China, and contribute to the policies and strategies to address and limit the burden.
Published: 2017

16. Prevalence of vision impairment and refractive error in school learners in Calabar, Nigeria

Author: Kovin Naidoo, Pirindhavellie Govender, and Anne Effiom Ebri
Subjects: Refractive error, Visual acuity, 030501 epidemiology, Astigmatism, school refractive errors, school astigmatism, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, vision impairment, medicine, Cross river, business.industry, school children, Significant difference, medicine.disease, Confidence interval, lcsh:RE1-994, school myopia, 030221 ophthalmology & optometry, Hyperopic astigmatism, School health, medicine.symptom, 0305 other medical science, business, Demography
Abstract: Background: Uncorrected refractive error could negatively affect learning and academic performance, there is still inadequate information for planning school health. Aim: To determine the proportion of students with vision impairment because of uncorrected refractive error, and prevalent types among learners aged 10–18 years. Setting: The study site included two of 18 local government areas of the Cross River State in Nigeria, with 23 public and mission secondary schools. Methods: A two-stage cluster sampling method was used to enrol 4241 study participants from eight selected secondary schools. Results: The prevalence of vision impairment (presenting visual acuity worse than 6/12) was 7.9% (95% confidence interval [CI]: 7.17% – 8.6%). The prevalence of vision impairment because of refractive error was 7.2% (95% CI: 6.41% – 7.96%) in the better eye. Astigmatism was the predominant type of refractive error with a prevalence of 4.2% (95% CI: 3.6% – 4.8%), followed by myopia (1.72%; 95% CI: 1.3% – 2.1%) and hyperopia (1.3%; 95% CI: 0.9% – 1.6%). There were statistically significant differences in proportions of female participants who presented with myopic astigmatism (30.8%; p < 0.012). Statistically significant difference in proportions was found in older (33.3%; p < 0.0004) and male (29.6%; p < 0.0003) participants who presented with hyperopic astigmatism compared to younger and female participants, respectively. Myopia accounted for 4.8% (95% CI: 4.2% – 5.5%) and was significantly higher in female participants (5.5%; p < 0.033). Conclusion: Refractive error was the major cause of vision impairment and myopic astigmatism was the predominant type of refractive error among secondary school children in Calabar.
Published: 2019

17. IMI - Clinical Myopia Control Trials and Instrumentation Report

Author: Linda Lundström, Hidemasa Torii, Takashi Fujikado, James S. Wolffsohn, Takahiro Hiraoka, Kovin Naidoo, Hetal Buckhurst, David A. Berntsen, Alexandra Benavente, Pete S Kollbaum, Masakazu Hirota, Arthur Bradley, Michael J. Collins, David A. Atchison, Deborah Jones, Scott A. Read, and Nicola S Logan
Subjects: Refractive error, Evidence-Based Medicine, Internationality, business.industry, Pupil size, MEDLINE, General Medicine, Evidence-based medicine, medicine.disease, Ocular alignment, Clinical trial, Tissue biomechanics, Disease Progression, Myopia, medicine, Humans, Optometry, Instrumentation (computer programming), business, Randomized Controlled Trials as Topic
Abstract: The evidence-basis based on existing myopia control trials along with the supporting academic literature were reviewed; this informed recommendations on the outcomes suggested from clinical trials aimed at slowing myopia progression to show the effectiveness of treatments and the impact on patients. These outcomes were classified as primary (refractive error and/or axial length), secondary (patient reported outcomes and treatment compliance), and exploratory (peripheral refraction, accommodative changes, ocular alignment, pupil size, outdoor activity/lighting levels, anterior and posterior segment imaging, and tissue biomechanics). The currently available instrumentation, which the literature has shown to best achieve the primary and secondary outcomes, was reviewed and critiqued. Issues relating to study design and patient selection were also identified. These findings and consensus from the International Myopia Institute members led to final recommendations to inform future instrumentation development and to guide clinical trial protocols.
Published: 2019

18. Prevalence and causes of blindness and vision impairment: Magnitude, temporal trends and projections in South and Central Asia

Author: Ronnie George, Serge Resnikoff, Rupert R A Bourne, Maria Vittoria Cicinelli, Janet L Leasher, Seth Flaxman, Leon B. Ellwein, Aditi Das, Hugh R. Taylor, Tien Yin Wong, Jost B. Jonas, Hans Limburg, Nina Tahhan, Alexander J Silvester, Kovin Naidoo, Vinay Nangia, Konrad Pesudovs, John H. Kempen, Jill E Keeffe, Vijaya Lingam, Nangia, Vinay, Jonas, Jost B, George, Ronnie, Lingam, Vijaya, Ellwein, Leon, Cicinelli, Maria Vittoria, Das, Aditi, Flaxman, Seth R, Keeffe, Jill E, Kempen, John H, Leasher, Janet, Limburg, Han, Naidoo, Kovin, Pesudovs, Konrad, Resnikoff, Serge, Silvester, Alexander J, Tahhan, Nina, Taylor, Hugh R, Wong, Tien Y, Bourne, Rupert R A, on behalf of the Vision Loss Expert Group of the Global Burden of Disease, Study, and Battaglia Parodi, Maurizio
Subjects: Pediatrics, Refractive error, Visual acuity, genetic structures, Glaucoma, vision loss expert group, Ophthalmology & Optometry, Blindness, 0302 clinical medicine, WORLDWIDE, Risk Factors, Prevalence, blindne, refractive error, POPULATION, Asia, Southeastern, education.field_of_study, vision loss, GLOBAL PREVALENCE, Diabetic retinopathy, Sensory Systems, 1113 Opthalmology and Optometry, Trachoma, cataract, global burden of disease study, Asia, Central, epidemiology, medicine.symptom, Life Sciences & Biomedicine, medicine.medical_specialty, macular degeneration, Population, Visual impairment, Vision Disorders, CEGUEIRA, 1117 Public Health and Health Services, vision lo, 03 medical and health sciences, Cellular and Molecular Neuroscience, medicine, vision impairment, Humans, VISUAL IMPAIRMENT, education, Science & Technology, business.industry, 1103 Clinical Sciences, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, RANIBIZUMAB, eye diseases, Ophthalmology, glaucoma, 030221 ophthalmology & optometry, business, Sensory System, 030217 neurology & neurosurgery
Abstract: BackgroundTo assess prevalence and causes of vision loss in Central and South Asia.MethodsA systematic review of medical literature assessed the prevalence of blindness (presenting visual acuityResultsIn Central and South Asia combined, age-standardised prevalences of blindness, MSVI and MVI in 2015 were for men and women aged 50+years, 3.72% (80% uncertainty interval (UI): 1.39–6.75) and 4.00% (80% UI: 1.41–7.39), 16.33% (80% UI: 8.55–25.47) and 17.65% (80% UI: 9.00–27.62), 11.70% (80% UI: 4.70–20.32) and 12.25% (80% UI:4.86–21.30), respectively, with a significant decrease in the study period for both gender. In South Asia in 2015, 11.76 million individuals (32.65% of the global blindness figure) were blind and 61.19 million individuals (28.3% of the global total) had MSVI. From 1990 to 2015, cataract (accounting for 36.58% of all cases with blindness in 2015) was the most common cause of blindness, followed by undercorrected refractive error (36.43%), glaucoma (5.81%), age-related macular degeneration (2.44%), corneal diseases (2.43%), diabetic retinopathy (0.16%) and trachoma (0.04%). For MSVI in South Asia 2015, most common causes were undercorrected refractive error (accounting for 66.39% of all cases with MSVI), followed by cataract (23.62%), age-related macular degeneration (1.31%) and glaucoma (1.09%).ConclusionsOne-third of the global blind resided in South Asia in 2015, although the age-standardised prevalence of blindness and MSVI decreased significantly between 1990 and 2015.
Published: 2019

19. Global Estimates on the Number of People Blind or Visually Impaired by Diabetic Retinopathy: A Meta-analysis From 1990 to 2010

Author: Holly Price, Rupert R A Bourne, Jost B. Jonas, Janet L Leasher, Konrad Pesudovs, Richard A. White, Seth Flaxman, Hugh R. Taylor, Jill E Keeffe, Kovin Naidoo, Serge Resnikoff, Tien Yin Wong, Leasher, J. L., Bourne, R. R. A., Flaxman, S. R., Jonas, J. B., Keeffe, J., Naidoo, K., Pesudovs, K., Price, H., White, R. A., Wong, T. Y., Resnikoff, S., Taylor H. R., Vision Loss Expert Group of the Global Burden of Disease Study, and Battaglia Parodi, M
Subjects: medicine.medical_specialty, Asia, Visual acuity, Endocrinology, Diabetes and Metabolism, Visual impairment, Population, Vision Disorders, Visual Acuity, 030209 endocrinology & metabolism, Disease, Audiology, Blindness, Global Health, Global Burden of Disease, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, Prevalence, Internal Medicine, medicine, Global health, Humans, education, Advanced and Specialized Nursing, education.field_of_study, Diabetic Retinopathy, Australasia, business.industry, Vision Disorder, Diabetic retinopathy, medicine.disease, Blindne, Europe, Meta-analysis, Africa, North America, 030221 ophthalmology & optometry, medicine.symptom, business, Visually Impaired Persons, Human, Demography
Abstract: OBJECTIVE To estimate global and regional trends from 1990 to 2010 of the prevalence and number of persons visually impaired specifically by diabetic retinopathy (DR), as a complication of the precipitous trends in global diabetes, is fundamental for health planning purposes. RESEARCH DESIGN AND METHODS The meta-analysis of published population studies from 1990 to 2012 for the Global Burden of Disease Study 2010 (GBD) yielded estimated global regional trends in DR among other causes of moderate and severe vision impairment (MSVI; presenting visual acuity RESULTS Globally in 2010, out of overall 32.4 million blind and 191 million visually impaired people, 0.8 million were blind and 3.7 million were visually impaired because of DR, with an alarming increase of 27% and 64%, respectively, spanning the two decades from 1990 to 2010. DR accounted for 2.6% of all blindness in 2010 and 1.9% of all MSVI worldwide, increasing from 2.1% and 1.3%, respectively, in 1990. These figures were lower in regions with younger populations (4%). CONCLUSIONS The number of persons with visual impairment due to DR worldwide is rising and represents an increasing proportion of all blindness/MSVI causes. Age-standardized prevalence of DR-related blindness/MSVI was higher in sub-Saharan Africa and South Asia. One out of 39 blind people had blindness due to DR, and 1 out of 52 visually impaired people had visual impairment due to DR.
Published: 2016

20. Prevalence of Refractive Errors in the INK Area, Durban, South Africa

Author: Jyotikumarie Jaggernath, Carrin Martin, Kovin Naidoo, Khathutshelo P. Mashige, Farai Chinanayi, and Prasidh Ramson
Subjects: Adult, Male, Refractive error, Visual acuity, genetic structures, Cross-sectional study, Population, Visual Acuity, Pilot Projects, Astigmatism, South Africa, 03 medical and health sciences, 0302 clinical medicine, Myopia, Prevalence, medicine, Humans, 030212 general & internal medicine, education, Retinoscopy, Aged, Aged, 80 and over, education.field_of_study, medicine.diagnostic_test, business.industry, Middle Aged, medicine.disease, Subjective refraction, eye diseases, Ophthalmology, Cross-Sectional Studies, Hyperopia, 030221 ophthalmology & optometry, Optometry, Female, medicine.symptom, business
Abstract: PURPOSE To determine the prevalence and types of refractive errors in persons aged 35 years and older in the Inanda, Ntuzuma, and KwaMashu (INK) area of Durban, KwaZulu-Natal Province, South Africa. METHODS Refractive error data were obtained by autorefraction (Retinomax K-Plus; Nikon, Tokyo, Japan), retinoscopy, and subjective refraction. Refractive error was defined using spherical equivalents as myopia ( +0.5D). Astigmatism was defined as cylinder equal to or greater than -0.5D in either eye. RESULTS Participants' ages ranged from 35 to 90 years, with a mean of 53.05 ± 11.4 years. Women comprised 75% of the subjects. The prevalence of refractive error was 57.3%, with myopia 11.4%, hyperopia 37.7%, and astigmatism 25.7%. Myopia and astigmatism were significantly more prevalent in men (p < 0.01), whereas hyperopia was more prevalent in women (p < 0.01). Hyperopia was significantly associated with education (p < 0.01), whereas myopia and astigmatism were not (p = 0.09 and p = 0.15, respectively). CONCLUSIONS Approximately 57.3% of the population 35 years and older in the INK area of Durban were affected by refractive errors, with myopia, hyperopia, and astigmatism being significantly associated with sex. This study suggests that there is a need for interventions to alleviate refractive error in the INK area as well as in other communities affected by the lack of access to affordable services.
Published: 2016

21. How Do Patients Choose Their Spectacles in the Public Sector of South Africa?

Author: Ving Fai Chan, Farai Chinanayi, Vivasan Pillay, and Kovin Naidoo
Subjects: Adult, Male, Rural Population, Financing, Personal, medicine.medical_specialty, Adolescent, Patients, Urban Population, media_common.quotation_subject, Decision Making, Ambulatory Care Facilities, South Africa, 03 medical and health sciences, 0302 clinical medicine, Procurement, Surveys and Questionnaires, Perception, medicine, Humans, Quality (business), 030212 general & internal medicine, Child, Aged, media_common, Health Services Needs and Demand, Public Sector, business.industry, Public sector, Infant, Middle Aged, Patient Acceptance of Health Care, Refractive Errors, Ophthalmology, Eyeglasses, Child, Preschool, Family medicine, 030221 ophthalmology & optometry, Optometry, Female, Descriptive research, business, Psychology, Rural population, Kwazulu natal
Abstract: PURPOSE This study was designed to understand the profiles of the patients who attended and chose to purchase spectacles from the public sector eye clinics in KwaZulu Natal, South Africa. Furthermore, we wished to explore patients' perceptions of the spectacle frames on offer and to understand the motivation of the patients in selecting their spectacle frames. METHODS This descriptive study consented 674 patients from seven eye clinics in KwaZulu Natal. Each was interviewed using a questionnaire containing open-ended, close-ended questions and questions with a Likert-scale response. RESULTS Females comprised 68.4% of the study population. The majority of participants had not completed secondary school or had no schooling (78.9%), were unemployed (70.9%), and earned less than R2000 per month or did not have any form of income (89.2%). Of the 670 who chose to buy spectacles from the eye clinics, 79.4% indicated that this was convenient (79.4%) and 23.0% said that they were motivated in their decision because they liked the available frames. More than 95% of participants rated the design, quality, and price as good to excellent. Factors influencing their decisions included design, recommendations from staff, and quality. Those who bought the spectacles from the budget range were prepared to pay more for the next pair of spectacles, whereas almost all reported that they would return to the same eye clinic for their next pair of spectacles and that they would recommend relatives and friends to the clinic. CONCLUSIONS The results from the study indicate that there is high acceptance by patients of the range of spectacles offered in public sector eye clinics with specific suggestions to improve it. Increased understanding of the perceptions and motivations in spectacle choice will help inform planning and procurement decisions in supplying the needs of the patients and broadening the patient base.
Published: 2016

22. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

Author: Yong Zhao, Hadi Danawi, Bach Xuan Tran, Gene Bukhman, Vasiliki Stathopoulou, Taavi Tillmann, Nelson Alvis-Guzman, Yongmei Li, Jerry Puthenpurakal Abraham, Sudan Prasad Neupane, Jack Caravanos, Ben Schöttker, Rafael Lozano, Damian G Hoy, Yoshihiro Kokubo, Nicholas J K Breitborde, Sergey Soshnikov, Yukito Shinohara, Randall V. Martin, Michael Brainin, Fernando Perez-Ruiz, Yingfeng Zheng, Santosh Mishra, Julio Cesar Montañez Hernandez, Michael Phillips, Belinda J. Gabbe, Hebe N. Gouda, Ziad A. Memish, Rupert R A Bourne, Guoqing Hu, Emmanuel A. Ameh, Abigail McLain, Michelle L. Bell, Christopher Margono, Marissa Iannarone, Wilkister N. Moturi, Donald H. Silberberg, Carl Abelardo T. Antonio, Nataliya Foigt, Anand Dayama, Yanping Wang, Amanda J. Mason-Jones, Bolajoko O. Olusanya, Monica S. Vavilala, Katherine B Gibney, David Tanne, Sidibe S Kany Roseline, Marcella Montico, Abhishek Singh, Sarah Derrett, Alireza Esteghamati, Seok Jun Yoon, Corine Karema, Rakhi Dandona, David M. Pereira, Kazem Rahimi, Gitanjali M. Singh, Vivekanand Jha, John Hornberger, Anne M. Riederer, Kathryn H. Jacobsen, Andrea Pedroza, Lily Alexander, Fiona M. Blyth, Tommi Vasankari, Kyle J Foreman, Rana J. Asghar, Tilahun Nigatu Haregu, Yousef Khader, Rafael Alfonso-Cristancho, Suzanne Barker-Collo, Lydia S. Atkins, Simerjot K. Jassal, Mohammad Ali Sahraian, Peter Scarborough, Hans W. Hoek, E. Ray Dorsey, Muluken Dessalegn, David C. Schwebel, Gavin Shaddick, Thomas D. Fleming, Mohammad Tavakkoli, Dorairaj Prabhakaran, Mohammad H. Forouzanfar, Christopher C. Mapoma, Jost B. Jonas, Erin C Mullany, Gene F. Kwan, Johanna M. Geleijnse, Antonio Luiz Pinho Ribeiro, Roberto Tchio Talongwa, Tolesa Bekele, Jed D. Blore, Gunn Marit Aasvang, Philimon Gona, Miguel Angel Alegretti, Babak Eshrati, Mitsuru Mukaigawara, Richard F. Gillum, Odgerel Chimed-Ochir, Ubai Alsharif, Richard C. Franklin, Felix Masiye, Richard T. Burnett, Sanjay Krishnaswami, Martin McKee, John J Huang, Lucía Cuevas-Nasu, Wagner Marcenes, Walid Ammar, Knud Juel, Joseph R. Zunt, Martha M Téllez Rojo, Mamta Swaroop, Noela M Prasad, Azmeraw T. Amare, Tim Driscoll, Michael Kravchenko, Heresh Amini, Amir Sapkota, Theo Vos, Charlotte Watts, Dennis Odai Laryea, D. Alex Quistberg, Justin Beardsley, Cheng Huang, Adnan M. Durrani, Sarah V Thackway, Rita Van Dingenen, Manami Inoue, Martha Híjar, Honglei Chen, Amany H. Refaat, Yichong Li, Vineet K. Chadha, Wenzhi Wang, Louisa Degenhardt, Kingsley N. Ukwaja, Nayu Ikeda, James D. Wilkinson, Linh N Bui, Maria Hagströmer, Gonghuan Yang, Ann Kristin Knudsen, David J. Margolis, Soewarta Kosen, Hans Kromhout, Atsushi Goto, Man Mohan Mehndiratta, Thomas N. Williams, Michael Soljak, Yun Jin Kim, Hideaki Toyoshima, Jeyaraj D Pandian, Borja del Pozo-Cruz, Soufiane Boufous, Ivy Shiue, Anders Larsson, Guilherme V. Polanczyk, John Powles, Yara A. Halasa, Robin Room, Ratilal Lalloo, Carolina Batis Ruvalcaba, Panniyammakal Jeemon, Elisabete Weiderpass, Jürgen Rehm, Ejaz Ahmad Khan, Alicia Aleman, Zacharie Tsala Dimbuene, Elena Alvarez, Rachelle Buchbinder, Randah R. Hamadeh, Bryan Hubbell, Sadaf G. Sepanlou, Farhad Islami, Costas A. Christophi, Heidi Stöckl, Ismael R. Campos-Nonato, Nigel Bruce, Edward J Mills, Samuel A L Perry, Taavi Lai, Baffour Awuah, Mete Saylan, Karen J. Courville, Arindam Basu, Vanessa De la Cruz-Góngora, Teresita González de Cosío, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Muluken Azage Yenesew, Atte Meretoja, Michael Brauer, Cyrus Cooper, Giorgia Giussani, Valentina S. Arsic Arsenijevic, Vasiliy Victorovich Vlassov, André Karch, Leilei Duan, Matthew M Coates, Omid Ameli, Gelin Xu, Matthias Endres, Ganesan Karthikeyan, Ione Jayce Ceola Schneider, Mohamed Hsairi, Palwasha Anwari, Mazin J. Al Khabouri, Dariush Mozaffarian, Juan R. Sanabria, Pablo M. Lavados, Sumeet S. Chugh, Johan Ärnlöv, Ivo Rakovac, Maurice Giroud, Haidong Kan, Ibrahim Abdelmageem Mohamed Ginawi, José Luis Texcalac-Sangrador, Luigi Naldi, Erica Leigh Slepak, Deena Alasfoor, James E. Saunders, Richard Matzopoulos, Talal Bakfalouni, Stein Emil Vollset, Andrea Werdecker, Lennert J. Veerman, Lorenzo Monasta, Henrica A. F. M. Jansen, Reyna A Gutiérrez, Brittany Wurtz, Luz Maria Sanchez, Lijing L. Yan, M. Patrice Lindsay, Michele Meltzer, Sanjay Basu, Steven van de Vijver, Alaa Badawi, Thomas Claßen, Young-Ho Khang, Brett M. Kissela, Jun Zhu, In-Hwan Oh, Fiona J Charlson, Maria Cecilia Bahit, Dinorah González-Castell, Rosario Cárdenas, Dan Poenaru, Sayed Saidul Alam, Mitchell T. Wallin, Harish Chander Gugnani, James Leigh, Ferrán Catalá-López, Lidia Morawska, Jim van Os, Stephanie J. London, Kaire Innos, Isabelle Romieu, Fiorella Cavalleri, Adrian Davis, Hwee Pin Phua, Chakib Nejjari, Héctor Gómez Dantés, Boris I. Pavlin, Karen Sliwa, Lynne Gaffikin, Constance D. Pond, Michael F. MacIntyre, Blake Thomson, Norberto Perico, Ronny Westerman, Samantha M. Colquhoun, Michael H. Criqui, Ana Maria Nogales Vasconcelos, Wubegzier Mekonnen, Bulat Idrisov, Ana Basto-Abreu, Andrew G. M. Bulloch, Jasvinder A. Singh, Vinod K. Paul, Emin Murat Tuzcu, Svetlana Popova, Hmwe H Kyu, Richard L. Guerrant, Mohammed I. Albittar, Srikanth Mangalam, Steven E. Lipshultz, Lela Sturua, Semaw Ferede Abera, Eduardo Bernabé, George D. Thurston, Bruno F. Sunguya, Tiffany Ku, Alejandra G. Contreras, Abdullah Sulieman Terkawi, Charles Atkinson, Ashkan Afshin, Heidi J. Larson, Abdullatif Husseini, Jose C. Adsuar, Reza Assadi, Ademola Lukman Adelekan, Joshua A. Salomon, Yousef M. Elshrek, Gokalp Kadri Yentur, Devina Nand, Narayanaswamy Venketasubramanian, Graça Maria Ferreira De Lima, Maheswar Satpathy, Fotis Topouzis, Traolach S. Brugha, Hywel C Williams, Coen H. Van Gool, Andrew H. Kemp, Awoke Misganaw, Amado D Quezada, Norito Kawakami, Bert Brunekreef, Peter Burney, Tati S. Warouw, Jongmin Lee, Inga Dora Sigfusdottir, Marcel Tanner, Solveig A. Cunningham, Benjamin O. Anderson, Tariku Jibat Beyene, Lars Barregard, Xia Wan, Giuseppe Remuzzi, Bernadette Thomas, Lilia S Pedraza, Massimo Cirillo, Alina Rodriguez, Ricky Leung, Farshad Pourmalek, K. Srinath Reddy, Charles D.A. Wolfe, Ulrich O Mueller, Neeraj Bedi, Al Artaman, Lucia Hernandez, Itamar S. Santos, C. Arden Pope, Norlinah Mohamed Ibrahim, Carlo Irwin A. Panelo, Selen Begüm Uzun, Miltiadis K. Tsilimbaris, Anwar Rafay, Daniel Dicker, Melvin Barrientos Marzan, Sajjad Ur Rahman, Mohammed O. Basulaiman, Edgar P. Simard, Mohammad T Mashal, Maysaa El Sayed Zaki, Shiwei Liu, Don C. Des Jarlais, Bo Norrving, Salvador Villalpando, Miia Kivipelto, Yang Liu, Carolina Maria Teixeira, Catalina Medina, Sudha Jayaraman, Josep Maria Haro, Diego De Leo, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Mukesh Dherani, Ljiljana Pejin Stokic, Vinay Nangia, Sukanta Saha, Juan Liang, Elisabeth Cardis, Zourkaleini Younoussi, José R Nogueira, Braden Te Ao, Vasco Manuel Pedro Machado, Lionel Racapé, Ting Wu Chuang, Shahab Khatibzadeh, E Filipa de Castro, Barthelemy Kuate Defo, Ulises Trujillo, Alan D. Lopez, Soraya Seedat, Lope H Barrero, Linhong Wang, Daniel Pope, Alexandra Brazinova, Faris Lami, Valentina Colistro, G Anil Kumar, Derek F J Fay, Haidong Wang, Hwashin H. Shin, Raimundas Lunevicius, Suzanne Polinder, Dietrich Plass, David Rojas-Rueda, Stephen S Lim, Tania G Sánchez-Pimienta, K.M. Venkat Narayan, Yuantao Hao, Jung-Chen Chang, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Luciano A. Sposato, Stan Biryukov, Kunihiro Matsushita, Beth E. Ebel, Cleusa P. Ferri, Soumya Swaminathan, K. Ryan Wessells, Gustavo Velasquez-Melendez, Leslie T. Cooper, David O. Carpenter, Nancy Lopez, Bryan L. Sykes, Sandra Nolte, Murray B. Stein, Paul N. Jensen, Fabiola Mejía-Rodríguez, Xiaonong Zou, Bradford D. Gessner, Dhruv S. Kazi, Dragos Virgil Davitoiu, Alejandra Jáuregui, Pouria Heydarpour, Megan Bohensky, Harvey Whiteford, Berrak Bora Basara, Zhengming Chen, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Nima Hafezi-Nejad, John Nelson Opio, Scott Weichenthal, Deborah Salvo, Jun She, Tea Lallukka, Carolyn C. Gotay, Stephen G. Waller, Christian Kieling, Shivanthi Balalla, Valery L. Feigin, Qing Lan, Matias Trillini, Adam D M Briggs, Sungroul Kim, Niveen M E Abu-Rmeileh, Renata Micha, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Zulfiqar A Bhutta, Paul S. F. Yip, Grant Nguyen, Ralph L. Sacco, Biju Abraham, Ken Takahashi, Jixiang Ma, Peter A. Meaney, Ayse Abbasoglu Ozgoren, Kimberly Cooperrider, M Rifat Kose, Shams Eldin Ali Hassan Khalifa, Rasmus Havmoeller, Alize J. Ferrari, Kebede Deribe, Nadim E. Karam, George A. Mensah, Bongani M. Mayosi, Konrad Pesudovs, Joanna Moschandreas, Ziad Nahas, James Damsere-Derry, Nsanzimana Sabin, Tonatiuh Barrientos-Gutiérrez, Ying Jiang, Andre Pascal Kengne, Peter Allebeck, Jonas Minet Kinge, Shankuan Zhu, Guy B. Marks, Daniel C Casey, Marco A Avila, Anna Roca, Lalit Dandona, Ami R. Moore, Adansi A. Amankwaa, David Gunnell, Andre Keren, Yohannes Adama Melaku, Nhung T Nguyen, Anthony D. Woolf, Mayuree Rao, Peter J. Allen, Christina Papachristou, Karzan Abdulmuhsin Mohammad, Ravi Kumar Balu, Marie Ng, Marcello Tonelli, Maziar Moradi-Lakeh, Maigeng Zhou, Emmanuela Gakidou, Mohammed K. Ali, Amanda W Pain, Dan J. Stein, Kawkab Shishani, Fortuné Gbètoho Gankpé, Howard J. Hoffman, James Scott, Nadine Steckling, Samia Alhabib, Deborah Jarvis, Kara Estep, Arsène Kouablan Adou, Ricardo Orozco, Holly Hagan, K. C. Astha, Reza Malekzadeh, Klara Dokova, Aliya Naheed, Ernst J. Kuipers, Valeria Caso, Derrick A Bennett, Andrea B. Feigl, Uche S. Uchendu, Holly E. Erskine, Shireen Sindi, Arjun Lakshmana Balaji, Francesco Saverio Violante, Monika Sawhney, Alejandra Cantoral, Ketevan Goginashvili, Raghib Ali, Fan Jiang, Robert G. Weintraub, Homie Razavi, Myriam Tobollik, Howard Hu, Emerito Jose A. Faraon, Irma Khonelidze, Patricia M. Riccio, Eun-Kee Park, Julio Cesar Campuzano, Ibrahim Abubakar, Jürgen C Schmidt, Konstantinos Stroumpoulis, Aref A. Bin Abdulhak, Graeme J. Hankey, Natan M. Bornstein, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Alanur Çavlin, Ruth W Kimokoti, Samir Soneji, Mark J. Nieuwenhuijsen, John Q. Wong, Joseph Frostad, Tom Achoki, Rahman Shiri, Ashish Bhalla, Kurt Straif, Simon I. Hay, Scott B. Patten, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Chandrashekhar T Sreeramareddy, Ryan M Barber, Rosana E. Norman, JianLi Wang, Siyi Shangguan, Luke Nyakarahuka, Kovin Naidoo, Charles D. H. Parry, Mercedes Colomar, H. Ross Anderson, Carlos Magis-Rodriguez, Joan M. Nolla, Muhammad Imran Nisar, Karen Devries, Andrew L. Thorne-Lyman, Denis Nash, Marape Marape, Rajiv Chowdhury, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Daniel Kim, Yuichiro Yano, Luke D. Knibbs, Margaret Robinson, Hilda L Harb, Rogelio Pérez-Padilla, Janet L Leasher, Jonathan L. Wright, Peter Brooks, Cristiana Abbafati, Belinda K Lloyd, Victor Aboyans, Nikhil Tandon, Charles R. Newton, Simón Barquera, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Glen Mola, Paulo A. Lotufo, Burcu Kucuk Bicer, Peggy Pei-Chia Chiang, Alexander Kraemer, Solomon Meseret Woldeyohannes, Saman Fahimi, Lesley Rushton, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Logan Sandar, Bruce Neal, Teresa Shamah Levy, Karen M. Tabb, Jeffrey A. Towbin, Christopher J L Murray, Ramesh Sahathevan, Aaron Cohen, Chanda Kulkarni, Van C. Lansingh, François Alla, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Uchechukwu K.A. Sampson, Rajeev Gupta, Neil Pearce, Mustafa Z. Younis, Veena S. Kulkarni, Francisco A García-Guerra, Amanda G. Thrift, Stefan Ma, Samaya Ismayilova, Evariste Gasana, Amitava Banerjee, Aslam Pervaiz, Emilie Agardh, Abraham D. Flaxman, Farshad Farzadfar, Peter W. Gething, Ileana Heredia-Pi, Boris Bikbov, Wanqing Chen, Saad B. Omer, Ruben Castro, Neeraj Bhala, Sara Sheikhbahaei, Hilton Lam, Urbano Fra Paleo, Lidia Sanchez-Riera, Alicia Elena Beatriz Lawrynowicz, Kristen Delwiche, Richard G. Ellenbogen, Max Petzold, Yuri Y Varakin, Guilherme Borges, Guohong Jiang, Francis Guillemin, Kyle R. Heuton, Yohannes Kinfu, Victoria F Bachman, Joseph A Wagner, Carlos A Castañeda-Orjuela, Leonardo Trasande, Abbas Ali Mahdi, Josef Coresh, Chuanhua Yu, Kenji Shibuya, Berrin Serdar, Laetitia Huiart, Xiaofeng Liang, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Natalie Stephens, Francis Apolinary Mhimbira, Jefferson Traebert, Amiran Gamkrelidze, Kjetil Søreide, Samath D Dharmaratne, Robert P. Dellavalle, George Mugambage Ruhago, Lakshmi Vijayakumar, Joannie Lortet-Tieulent, Dipan Bose, Tania C Aburto, Saleem M Rana, Miriam Levi, Mohammad Taghi Hedayati, Rodolfo S Pagcatipunan, Ron T. Gansevoort, H. D. Hosgood, Michael Burch, Mohsen Naghavi, Vegard Skirbekk, Ayfer Pekericli, Walter Mendoza, Pengpeng Ye, Gabrielle deVeber, Ali H. Mokdad, David M. Broday, Koranteng Adofo, Zewdie Aderaw Alemu, Shifalika Goenka, Carrie Beth Peterson, Nicolas J. C. Stapelberg, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Giancarlo Logroscino, Kardiyoloji, Peterson, Carrie B., Laboratoire de Physique des Solides (LPS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Wisconsin Division of Public Health, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), London South Bank University, Metropolitan Police Service, Hong Kong Baptist University (HKBU), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Insight Centre for Data Analytics [Galway] (INSIGHT), National University of Ireland [Galway] (NUI Galway), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Karolinska Institute, karolinska institute, Department of Molecular Biosciences, Department of Molecular Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Bristol], University of Bristol [Bristol], Universität Mannheim [Mannheim], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, University of Southampton, Imperial College London, Neurology Department, Ichilov Medical Center, Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Risk Assessment Sciences Institute, Utrecht University [Utrecht], Unité de Biologie Fonctionnelle et Adaptative (BFA (UMR_8251 / U1133)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Respiratory Epidemiology and Public Health, Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute [UK], CIBER de Epidemiología y Salud Pública (CIBERESP), STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Tennent Institute of Ophthalmology, National University of Singapore (NUS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Multidisciplinary Nanotechnology Centre, Swansea University, Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Genomics Research Center, Academia Sinica, Neuro Rehab Services LLP [New Delhi], Department of Signal Theory and Communications (TSC), Univ. Politec. de Catalunya, King‘s College London, Dept. Mat. Engn. De Ma, Sao Carlos, Fed. Univ. Sao Carlos UFSCar, RESPEC (RESPEC), RESPEC, Advanced Laboratories on Embedded Systems [Roma] (ALES), Department of Biology [Miami], University of Miami [Coral Gables], Health Care, Minister Of Labour-Ministry of Labor, Health and Social Affairs, Department of Nephrology, University Medical Center, University of Groningen, Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] (WUR), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], College of Medicine, University of Hail, Saudi Arabia, Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] (UPC), Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University-Shahid Beheshti University, Center for Applied Medical Research (CIMA), University of Tehran, Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), College of Precision Instrument and Optoelectronics Engineering, Tianjin University, George Washington University (GW), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universiteit Gent [Ghent], Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain (UCL), Fachbereich Physik [Berlin], Freie Universität Berlin, Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), Univ New Delhi, School of Physics and Astronomy, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center (TRDDC), TCS Innovation Labs, University of Helsinki, Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency (FOI), Servicio de Neurologia (SANTIAGO - Neurologie), Universidad del Desarrollo, Novartis Pharmaceutical Corporation, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Department of Health and Human Services, National Institutes of Health [Bethesda] (NIH), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), College of Information and Electrical Engineering [Beijing] (CIEE), China Agricultural University (CAU), Thales Research and Technology [Palaiseau], THALES, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École supérieure du professorat et de l'éducation - Académie de Grenoble [2013-2019] (ESPE Grenoble [2013-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], American University of Beirut [Beyrouth] (AUB), Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Mailman School of Public Health, Columbia University [New York], The Georges Institute for International Health, The University of Sydney, Department of epidemiology and Public Health, Faculty of Medicine, Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université de la Méditerranée - Aix-Marseille 2, Department of Neurology Lunds University Hospital Lund, Unit of Functional Bionanomaterials, School of Biosciences, University of Birmingham [Birmingham], Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], World Health Organization, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Nordic School of Public Health, The James Hutton Institute, Horia Hulubei National Institute for Physics and Nuclear Engineering, Department of Pediatrics, University of Washington [Seattle], Institute of Public Health, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Dept.of Computer Science, Indian Institute of Technology Madras (IIT Madras), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut geològic de Catalunya (IGC), Institut Geològic de Catalunya-IGC, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Politecnico di Milano [Milan] (POLIMI), Symantec, University of Oviedo, European Microsoft Innovation Center (EMIC), Microsoft Corporation [Redmond, Wash.], Technion - Israel Institute of Technology [Haifa], Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Department of Physics, Cavendish Laboratory, University of Cambridge [UK] (CAM), Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling (CMM), Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Universidade Federal de Pernambuco [Recife] (UFPE), Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute (NEST), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology (LICB), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] (LNCC / MCT), Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] (KTH ), NICTA [Eveleigh], National ICT Australia [Sydney] (NICTA), Division of Solid Mechanics, Lund University [Lund], University of Calgary, BioWare Corp, Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Imaging Sciences and Biomedical Engineering Division [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Physiology, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Neurorestoration Group, Wolfson Centre for Age-related Diseases-King‘s College London, Electronic Navigation Research Institute (ENRI), Ministry of Land, Infrastructure, Transport and Tourism, Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Centre for Undergraduate Studies, University of the Punjab, Siemens Corporate Research, Siemens AG [Munich], University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS), Department of Materials Science, Sichuan University [Chengdu] (SCU), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Shahid Beheshti University of Medical Sciences, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH)-Universidad del Desarrollo, Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), École supérieure du professorat et de l'éducation - Académie de Grenoble (ESPE Grenoble), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), California Institute of Technology (CALTECH)-NASA, Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), King‘s College London-Wolfson Centre for Age-related Diseases, Sichuan University, Universitat de Barcelona, Interne Geneeskunde, Medische Sociologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), RS: MHeNs - R2 - Mental Health, Laboratoire de Physique des Solides ( LPS ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de psychologie sociale et de psychologie cognitive ( LAPSCO ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Erosion torrentielle neige et avalanches ( UR ETGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Hong Kong Baptist University ( HKBU ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Insight Centre for Data Analytics (National University of Ireland Galway (NUIG)) ( INSIGHT ), Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), University of Oslo ( UiO ) -University of Oslo ( UiO ), Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Computational Science and Engineering Department [Daresbury] ( STFC ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], University of Southampton [Southampton], Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), University Medical Center Utrecht, Biologie Fonctionnelle et Adaptative ( BFA ), Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute, Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), National University of Singapore ( NUS ), Centre de Robotique ( CAOR ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Department of Signal Theory and Communications ( TSC ), RESPEC ( RESPEC ), Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Wageningen University and Research Centre [Wageningen] ( WUR ), Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale ( SESSTIM - U912 INSERM - AMU - IRD ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Université Catholique de Louvain ( UCL ), Freie Universität Berlin [Berlin], Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Tata Research Development and Design Center ( TRDDC ), Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Swedish Defense Research Agency ( FOI ), Servicio de Neurologia ( SANTIAGO - Neurologie ), Universidad de Santiago de Chile [Santiago] ( USACH ) -Universidad del Desarrollo, Novartis Pharmaceutical Corp., East Hanover NJ 07936, USA, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mechanical and Automation Engineering ( CAD Laboratory ), National Institutes of Health ( NIH ), Centre d'étude et de recherche en informatique et communications ( CEDRIC ), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise ( ENSIIE ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), College of Information and Electrical Engineering [Beijing] ( CIEE ), China Agricultural University ( CAU ), Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), École supérieure du professorat et de l'éducation - Académie de Grenoble ( ESPE Grenoble ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Grenoble Alpes ( UGA ), PennState University [Pennsylvania] ( PSU ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), American University of Beirut [Beyrouth], The University of Sydney [Sydney], Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Center for Research in Environmental Epidemiology ( CREAL ), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique ( INRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Indian Institute of Technology Madras ( IIT Madras ), Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Laboratoire de Génie Informatique et Ingénierie de Production ( LGI2P ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Institut geològic de Catalunya ( IGC ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physiologie et Génomique des Poissons ( LPGP ), Institut National de la Recherche Agronomique ( INRA ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Politecnico di Milano [Milan], European Microsoft Innovation Center ( EMIC ), Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Cambridge [UK] ( CAM ), Laboratoire de Probabilités et Modèles Aléatoires ( LPMA ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), London School of Hygiene and Tropical Medicine ( LSHTM ), University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife] ( UFPE ), Nanoscience Institute ( NEST ), Laboratory Of Immune Cell Biology ( LICB ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bonn Universität [Bonn], Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] ( LNCC / MCT ), Royal Institute of Technology [Stockholm] ( KTH ), National ICT Australia [Sydney] ( NICTA ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), Children’s Hospital of Philadelphia ( CHOP ), Univeristy of Pennsylvania Medical School, Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Medical College of Georgia, Electronic Navigation Research Institute ( ENRI ), Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), University of Massachusetts [Boston] ( UMass Boston ), Forouzanfar, Mohammad H, Alexander, Lily, Anderson, H. Ro, Bachman, Victoria F, Biryukov, Stan, Brauer, Michael, Burnett, Richard, Casey, Daniel, Coates, Matthew M, Cohen, Aaron, Delwiche, Kristen, Estep, Kara, Frostad, Joseph J, Kc, Astha, Kyu, Hmwe H, Moradi Lakeh, Maziar, Ng, Marie, Slepak, Erica Leigh, Thomas, Bernadette A, Wagner, Joseph, Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd Allah, Foad, Abera, Semaw F, Aboyans, Victor, Abraham, Biju, Abraham, Jerry Puthenpurakal, Abubakar, Ibrahim, Abu Rmeileh, Niveen M. E, Aburto, Tania C, Achoki, Tom, Adelekan, Ademola, Adofo, Koranteng, Adou, Arsène K, Adsuar, José C, Afshin, Ashkan, Agardh, Emilie E, Al Khabouri, Mazin J, Al Lami, Faris H, Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I, Alegretti, Miguel A, Aleman, Alicia V, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Ali, Mohammed K, Alla, Françoi, Allebeck, Peter, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Ameh, Emmanuel A, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Cunningham, Solveig Argeseanu, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J, Assadi, Reza, Atkins, Lydia S, Atkinson, Charle, Avila, Marco A, Awuah, Baffour, Badawi, Alaa, Bahit, Maria C, Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Balu, Ravi Kumar, Banerjee, Amitava, Barber, Ryan M, Barker Collo, Suzanne L, Barquera, Simon, Barregard, Lar, Barrero, Lope H, Barrientos Gutierrez, Tonatiuh, Basto Abreu, Ana C, Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O, Ruvalcaba, Carolina Bati, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Benjet, Corina, Bennett, Derrick A, Benzian, Habib, Bernabé, Eduardo, Beyene, Tariku J, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A, Bikbov, Bori, Abdulhak, Aref A. Bin, Blore, Jed D, Blyth, Fiona M, Bohensky, Megan A, Başara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M, Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J, Brenner, Hermann, Briggs, Adam D. M, Broday, David M, Brooks, Peter M, Bruce, Nigel G, Brugha, Traolach S, Brunekreef, Bert, Buchbinder, Rachelle, Bui, Linh N, Bukhman, Gene, Bulloch, Andrew G, Burch, Michael, Burney, Peter G. J, Campos Nonato, Ismael R, Campuzano, Julio C, Cantoral, Alejandra J, Caravanos, Jack, Cárdenas, Rosario, Cardis, Elisabeth, Carpenter, David O, Caso, Valeria, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chen, Honglei, Chen, Wanqing, Chen, Zhengming, Chiang, Peggy P, Chimed Ochir, Odgerel, Chowdhury, Rajiv, Christophi, Costas A, Chuang, Ting Wu, Chugh, Sumeet S, Cirillo, Massimo, Claßen, Thomas Kd, Colistro, Valentina, Colomar, Mercede, Colquhoun, Samantha M, Contreras, Alejandra G, Cooper, Cyru, Cooperrider, Kimberly, Cooper, Leslie T, Coresh, Josef, Courville, Karen J, Criqui, Michael H, Cuevas Nasu, Lucia, Damsere Derry, Jame, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Davis, Adrian, Davitoiu, Dragos V, Dayama, Anand, de Castro, E. Filipa, De la Cruz Góngora, Vanessa, De Leo, Diego, de Lima, Graça, Degenhardt, Louisa, Del Pozo Cruz, Borja, Dellavalle, Robert P, Deribe, Kebede, Derrett, Sarah, Jarlais, Don C. De, Dessalegn, Muluken, Deveber, Gabrielle A, Devries, Karen M, Dharmaratne, Samath D, Dherani, Mukesh K, Dicker, Daniel, Ding, Eric L, Dokova, Klara, Dorsey, E. Ray, Driscoll, Tim R, Duan, Leilei, Durrani, Adnan M, Ebel, Beth E, Ellenbogen, Richard G, Elshrek, Yousef M, Endres, Matthia, Ermakov, Sergey P, Erskine, Holly E, Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose A, Farzadfar, Farshad, Fay, Derek F. J, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed Mohammad, Ferrari, Alize J, Ferri, Cleusa P, Flaxman, Abraham D, Fleming, Thomas D, Foigt, Nataliya, Foreman, Kyle J, Paleo, Urbano Fra, Franklin, Richard C, Gabbe, Belinda, Gaffikin, Lynne, Gakidou, Emmanuela, Gamkrelidze, Amiran, Gankpé, Fortuné G, Gansevoort, Ron T, García Guerra, Francisco A, Gasana, Evariste, Geleijnse, Johanna M, Gessner, Bradford D, Gething, Pete, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim A. M, Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Dantes, Hector Gomez, Gona, Philimon, de Cosio, Teresita Gonzalez, González Castell, Dinorah, Gotay, Carolyn C, Goto, Atsushi, Gouda, Hebe N, Guerrant, Richard L, Gugnani, Harish C, Guillemin, Franci, Gunnell, David, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Hagan, Holly, Hagstromer, Maria, Halasa, Yara A, Hamadeh, Randah R, Hammami, Mouhanad, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Haregu, Tilahun Nigatu, Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I, Hedayati, Mohammad T, Heredia Pi, Ileana B, Hernandez, Lucia, Heuton, Kyle R, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W, Hoffman, Howard J, Hornberger, John C, Hosgood, H. Dean, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Hu, Howard, Huang, Cheng, Huang, John J, Hubbell, Bryan J, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa L, Iburg, Kim M, Idrisov, Bulat T, Ikeda, Nayu, Innos, Kaire, Inoue, Manami, Islami, Farhad, Ismayilova, Samaya, Jacobsen, Kathryn H, Jansen, Henrica A, Jarvis, Deborah L, Jassal, Simerjot K, Jauregui, Alejandra, Jayaraman, Sudha, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Fan, Jiang, Guohong, Jiang, Ying, Jonas, Jost B, Juel, Knud, Kan, Haidong, Roseline, Sidibe S. Kany, Karam, Nadim E, Karch, André, Karema, Corine K, Karthikeyan, Ganesan, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Kemp, Andrew H, Kengne, Andre P, Keren, Andre, Khader, Yousef S, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz A, Khang, Young Ho, Khatibzadeh, Shahab, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kimokoti, Ruth W, Kinfu, Yohanne, Kinge, Jonas M, Kissela, Brett M, Kivipelto, Miia, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kose, M. Rifat, Kosen, Soewarta, Kraemer, Alexander, Kravchenko, Michael, Krishnaswami, Sanjay, Kromhout, Han, Ku, Tiffany, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kulkarni, Chanda, Kulkarni, Veena S, Kumar, G. Anil, Kwan, Gene F, Lai, Taavi, Balaji, Arjun Lakshmana, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Ander, Laryea, Dennis O, Lavados, Pablo M, Lawrynowicz, Alicia E, Leasher, Janet L, Lee, Jong Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S, Lindsay, M. Patrice, Lipshultz, Steven E, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Logroscino, Giancarlo, London, Stephanie J, Lopez, Nancy, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimunda, Ma, Jixiang, Ma, Stefan, Machado, Vasco M. P, Macintyre, Michael F, Magis Rodriguez, Carlo, Mahdi, Abbas A, Majdan, Marek, Malekzadeh, Reza, Mangalam, Srikanth, Mapoma, Christopher C, Marape, Marape, Marcenes, Wagner, Margolis, David J, Margono, Christopher, Marks, Guy B, Martin, Randall V, Marzan, Melvin B, Mashal, Mohammad T, Masiye, Felix, Mason Jones, Amanda J, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M, Mazorodze, Tasara T, Mckay, Abigail C, Mckee, Martin, Mclain, Abigail, Meaney, Peter A, Medina, Catalina, Mehndiratta, Man Mohan, Mejia Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A, Meltzer, Michele, Memish, Ziad A, Mendoza, Walter, Mensah, George A, Meretoja, Atte, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mills, Edward J, Misganaw, Awoke, Mishra, Santosh, Ibrahim, Norlinah Mohamed, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L, Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Moore, Ami R, Morawska, Lidia, Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N, Mozaffarian, Dariush, Mueller, Ulrich O, Mukaigawara, Mitsuru, Mullany, Erin C, Murthy, Kinnari S, Naghavi, Mohsen, Nahas, Ziad, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, Km Venkat, Nash, Deni, Neal, Bruce, Nejjari, Chakib, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, de Dieu Ngirabega, Jean, Nguyen, Grant, Nguyen, Nhung T, Nieuwenhuijsen, Mark J, Nisar, Muhammad I, Nogueira, José R, Nolla, Joan M, Nolte, Sandra, Norheim, Ole F, Norman, Rosana E, Norrving, Bo, Nyakarahuka, Luke, Oh, In Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O, Omer, Saad B, Opio, John Nelson, Orozco, Ricardo, Pagcatipunan, Rodolfo S, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Papachristou, Christina, Park, Eun Kee, Parry, Charles D, Caicedo, Angel J. Paternina, Patten, Scott B, Paul, Vinod K, Pavlin, Boris I, Pearce, Neil, Pedraza, Lilia S, Pedroza, Andrea, Stokic, Ljiljana Pejin, Pekericli, Ayfer, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Perico, Norberto, Perry, Samuel A. L, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B, Petzold, Max, Phillips, Michael R, Phua, Hwee Pin, Plass, Dietrich, Poenaru, Dan, Polanczyk, Guilherme V, Polinder, Suzanne, Pond, Constance D, Pope, C. Arden, Pope, Daniel, Popova, Svetlana, Pourmalek, Farshad, Powles, John, Prabhakaran, Dorairaj, Prasad, Noela M, Qato, Dima M, Quezada, Amado D, Quistberg, D. Alex A, Racapé, Lionel, Rafay, Anwar, Rahimi, Kazem, Rahimi Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M, Rao, Mayuree, Razavi, Homie, Reddy, K. Srinath, Refaat, Amany H, Rehm, Jürgen, Remuzzi, Giuseppe, Ribeiro, Antonio L, Riccio, Patricia M, Richardson, Lee, Riederer, Anne, Robinson, Margaret, Roca, Anna, Rodriguez, Alina, Rojas Rueda, David, Romieu, Isabelle, Ronfani, Luca, Room, Robin, Roy, Nobhojit, Ruhago, George M, Rushton, Lesley, Sabin, Nsanzimana, Sacco, Ralph L, Saha, Sukanta, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Salomon, Joshua A, Salvo, Deborah, Sampson, Uchechukwu K, Sanabria, Juan R, Sanchez, Luz Maria, Sánchez Pimienta, Tania G, Sanchez Riera, Lidia, Sandar, Logan, Santos, Itamar S, Sapkota, Amir, Satpathy, Maheswar, Saunders, James E, Sawhney, Monika, Saylan, Mete I, Scarborough, Peter, Schmidt, Jürgen C, Schneider, Ione J. C, Schöttker, Ben, Schwebel, David C, Scott, James G, Seedat, Soraya, Sepanlou, Sadaf G, Serdar, Berrin, Servan Mori, Edson E, Shaddick, Gavin, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin H, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Gitanjali M, Singh, Jasvinder A, Skirbekk, Vegard, Sliwa, Karen, Soljak, Michael, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stapelberg, Nicolas J. C, Stathopoulou, Vasiliki, Steckling, Nadine, Stein, Dan J, Stein, Murray B, Stephens, Natalie, Stöckl, Heidi, Straif, Kurt, Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L, Tabb, Karen M, Takahashi, Ken, Talongwa, Roberto T, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Te Ao, Braden J, Teixeira, Carolina M, Téllez Rojo, Martha M, Terkawi, Abdullah S, Texcalac Sangrador, José Lui, Thackway, Sarah V, Thomson, Blake, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tillmann, Taavi, Tobollik, Myriam, Tonelli, Marcello, Topouzis, Foti, Towbin, Jeffrey A, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X, Trasande, Leonardo, Trillini, Matia, Trujillo, Ulise, Dimbuene, Zacharie Tsala, Tsilimbaris, Miltiadi, Tuzcu, Emin Murat, Uchendu, Uche S, Ukwaja, Kingsley N, Uzun, Selen B, van de Vijver, Steven, Van Dingenen, Rita, van Gool, Coen H, van Os, Jim, Varakin, Yuri Y, Vasankari, Tommi J, Vasconcelos, Ana Maria N, Vavilala, Monica S, Veerman, Lennert J, Velasquez Melendez, Gustavo, Venketasubramanian, N, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wagner, Gregory R, Waller, Stephen G, Wallin, Mitchell T, Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Wang, Wenzhi, Wang, Yanping, Warouw, Tati S, Watts, Charlotte H, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Wessells, K. Ryan, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Williams, Hywel C, Williams, Thomas N, Woldeyohannes, Solomon M, Wolfe, Charles D. A, Wong, John Q, Woolf, Anthony D, Wright, Jonathan L, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L, Yang, Gonghuan, Yano, Yuichiro, Ye, Pengpeng, Yenesew, Muluken, Yentür, Gökalp K, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok Jun, Younis, Mustafa Z, Younoussi, Zourkaleini, Yu, Chuanhua, Zaki, Maysaa E, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zhu, Shankuan, Zou, Xiaonong, Zunt, Joseph R, Lopez, Alan D, Vos, Theo, Murray, Christopher J., Cell biology, Epidemiology, Neurosciences, Health Technology Assessment (HTA), Public Health, General practice, Bachman, Victoria F., Coates, Matthew M., Frostad, Joseph J., Astha, K.C., Kyu, Hmwe H., Moradi-Lakeh, Maziar, Thomas, Bernadette A., Abbasoglu Ozgoren, Ayse, Abd-Allah, Foad, Abera, Semaw F., Puthenpurakal Abraham, Jerry, Abu-Rmeileh, Niveen M.E., Aburto, Tania C., Adou, Arsène K., Adsuar, José C., Agardh, Emilie E., Al Khabouri, Mazin J., Al Lami, Faris H., Albittar, Mohammed I., Alegretti, Miguel A., Aleman, Alicia V., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Ali, Mohammed K., Allen, Peter J., Alvis-Guzman, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Ameh, Emmanuel A., Anderson, Benjamin O., Antonio, Carl Abelardo T., Argeseanu Cunningham, Solveig, Arsic Arsenijevic, Valentina S., Asghar, Rana J., Atkins, Lydia S., Avila, Marco A., Bahit, Maria C., Barber, Ryan M., Barker-Collo, Suzanne L., Barrero, Lope H., Barrientos-Gutierrez, Tonatiuh, Basto-Abreu, Ana C., Basulaiman, Mohammed O., Batis Ruvalcaba, Carolina, Bell, Michelle L., Bennett, Derrick A., Beyene, Tariku J., Bhutta, Zulfiqar A., Bin Abdulhak, Aref A., Blore, Jed D., Blyth, Fiona M., Bohensky, Megan A., Bora Başara, Berrak, Bornstein, Natan M., Bourne, Rupert R., Breitborde, Nicholas J., Briggs, Adam D.M., Broday, David M., Brooks, Peter M., Bruce, Nigel G., Brugha, Traolach S., Bui, Linh N., Bulloch, Andrew G., Burney, Peter G.J., Campos-Nonato, Ismael R., Campuzano, Julio C., Cantoral, Alejandra J., Carpenter, David O., Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chiang, Peggy P., Chimed-Ochir, Odgerel, Christophi, Costas A., Chuang, Ting-Wu, Chugh, Sumeet S., Claßen, Thomas K.D., Colquhoun, Samantha M., Contreras, Alejandra G., Cooper, Leslie T., Courville, Karen J., Criqui, Michael H., Cuevas-Nasu, Lucia, Damsere-Derry, Jame, Dargan, Paul I., Davitoiu, Dragos V., De Castro, E. Filipa, De La Cruz-Góngora, Vanessa, De Lima, Graça, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Des Jarlais, Don C., Deveber, Gabrielle A., Devries, Karen M., Dharmaratne, Samath D., Dherani, Mukesh K., Ding, Eric L., Driscoll, Tim R., Durrani, Adnan M., Ebel, Beth E., Ellenbogen, Richard G., Elshrek, Yousef M., Ermakov, Sergey P., Erskine, Holly E., Faraon, Emerito Jose A., Fay, Derek F.J., Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed-Mohammad, Ferrari, Alize J., Ferri, Cleusa P., Flaxman, Abraham D., Fleming, Thomas D., Foreman, Kyle J., Fra Paleo, Urbano, Franklin, Richard C., Gankpé, Fortuné G., Gansevoort, Ron T., García-Guerra, Francisco A., Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Gillum, Richard F., Ginawi, Ibrahim A.M., Gomez Dantes, Hector, Gonzalez De Cosio, Teresita, González-Castell, Dinorah, Gotay, Carolyn C., Gouda, Hebe N., Guerrant, Richard L., Gugnani, Harish C., Gutiérrez, Reyna A., Hafezi-Nejad, Nima, Halasa, Yara A., Hamadeh, Randah R., Hankey, Graeme J., Harb, Hilda L., Hay, Simon I., Hedayati, Mohammad T., Heredia-Pi, Ileana B., Heuton, Kyle R., Hoek, Hans W., Hoffman, Howard J., Hornberger, John C., Hosgood, H., Hoy, Damian G., Huang, John J., Hubbell, Bryan J., Iannarone, Marissa L., Iburg, Kim M., Idrisov, Bulat T., Jacobsen, Kathryn H., Jansen, Henrica A., Jarvis, Deborah L., Jassal, Simerjot K., Jensen, Paul N., Jonas, Jost B., Kany Roseline, Sidibe S., Karam, Nadim E., Karema, Corine K., Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre P., Khader, Yousef S., Ali Hassan Khalifa, Shams Eldin, Khan, Ejaz A., Khang, Young-Ho, Kimokoti, Ruth W., Kinge, Jonas M., Kissela, Brett M., Knibbs, Luke D., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuipers, Ernst J., Kulkarni, Veena S., Kwan, Gene F., Lakshmana Balaji, Arjun, Lansingh, Van C., Larson, Heidi J., Laryea, Dennis O., Lavados, Pablo M., Lawrynowicz, Alicia E., Leasher, Janet L., Lee, Jong-Tae, Lim, Stephen S., Lipshultz, Steven E., Lloyd, Belinda K., London, Stephanie J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Machado, Vasco M.P., Macintyre, Michael F., Magis-Rodriguez, Carlo, Mahdi, Abbas A., Mapoma, Christopher C., Margolis, David J., Marks, Guy B., Martin, Randall V., Marzan, Melvin B., Mashal, Mohammad T., Mason-Jones, Amanda J., Mayosi, Bongani M., Mazorodze, Tasara T., Mckay, Abigail C., Meaney, Peter A., Mejia-Rodriguez, Fabiola, Melaku, Yohannes A., Memish, Ziad A., Mensah, George A., Apolinary Mhimbira, Franci, Miller, Ted R., Mills, Edward J., Mohamed Ibrahim, Norlinah, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L., Montañez Hernandez, Julio C., Moore, Ami R., Moturi, Wilkister N., Mueller, Ulrich O., Mullany, Erin C., Murthy, Kinnari S., Naidoo, Kovin S., Narayan, K.M. Venkat, Neupane, Sudan P., Newton, Charles R., Ngalesoni, Frida N., Ngirabega, Jean De Dieu, Nguyen, Nhung T., Nieuwenhuijsen, Mark J., Nisar, Muhammad I., Nogueira, José R., Nolla, Joan M., Norheim, Ole F., Norman, Rosana E., Oh, In-Hwan, Olusanya, Bolajoko O., Omer, Saad B., Pagcatipunan, Rodolfo S., Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Park, Eun-Kee, Parry, Charles D., Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pedraza, Lilia S., Pejin Stokic, Ljiljana, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perry, Samuel A.L., Phillips, Michael R., Polanczyk, Guilherme V., Pond, Constance D., Prasad, Noela M., Qato, Dima M., Quezada, Amado D., Quistberg, D. Alex A., Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Rana, Saleem M., Refaat, Amany H., Ribeiro, Antonio L., Riccio, Patricia M., Rojas-Rueda, David, Ruhago, George M., Sacco, Ralph L., Salomon, Joshua A., Sampson, Uchechukwu K., Sanabria, Juan R., Sánchez-Pimienta, Tania G., Sanchez-Riera, Lidia, Santos, Itamar S., Saunders, James E., Saylan, Mete I., Schmidt, Jürgen C., Schneider, Ione J.C., Schwebel, David C., Scott, James G., Sepanlou, Sadaf G., Servan-Mori, Edson E., Shamah Levy, Teresa, Shin, Hwashin H., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Singh, Gitanjali M., Singh, Jasvinder A., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stapelberg, Nicolas J.C., Stein, Dan J., Stein, Murray B., Sunguya, Bruno F., Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto T., Te Ao, Braden J., Teixeira, Carolina M., Téllez Rojo, Martha M., Terkawi, Abdullah S., Texcalac-Sangrador, José Lui, Thackway, Sarah V., Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Towbin, Jeffrey A., Tran, Bach X., Tsala Dimbuene, Zacharie, Uchendu, Uche S., Ukwaja, Kingsley N., Uzun, Selen B., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Varakin, Yuri Y., Vasankari, Tommi J., Vasconcelos, Ana Maria N., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, N., Violante, Francesco S., Victorovich Vlassov, Vasiliy, Wagner, Gregory R., Waller, Stephen G., Wallin, Mitchell T., Warouw, Tati S., Watts, Charlotte H., Weintraub, Robert G., Whiteford, Harvey A., Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Woolf, Anthony D., Wright, Jonathan L., Yan, Lijing L., Yentür, Gökalp K., Yoon, Seok-Jun, Younis, Mustafa Z., Zaki, Maysaa E., Zunt, Joseph R., Lopez, Alan D., and Temesgen, A.M.
Subjects: Male, Fine particulate matter, Nutrition and Disease, MESH : Sanitation, Health Behavior, Diseases, MESH: Metabolic Diseases, MESH: Global Health, 030204 cardiovascular system & hematology, MESH: Risk Assessment, Global Health, MESH : Nutritional Status, MESH: Occupational Exposure, 0302 clinical medicine, Unsafe Sex, MESH: Risk Factors, Risk Factors, Voeding en Ziekte, Medicine, Air-pollution, MESH : Female, 030212 general & internal medicine, MESH : Risk Assessment, Sanitation, Wasting, 2. Zero hunger, Factors de risc en les malalties, Medicine (all), [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, MESH : Occupational Diseases, MESH: Nutritional Status, All-cause mortality, MESH : Risk Factors, humanities, Environmental Exposure, Female, Humans, Metabolic Diseases, Nutritional Status, Occupational Diseases, Occupational Exposure, Risk Assessment, Tobacco smoking, 3. Good health, Nutritional Statu, MESH : Occupational Exposure, MESH : Metabolic Diseases, Cohort, medicine.symptom, Risk assessment, Blood-pressure, Human, MESH: Occupational Diseases, Risk factors in diseases, Coronary-heart-disease, MESH : Male, MESH: Health Behavior, MESH: Environmental Exposure, Population health, Body-mass index, 03 medical and health sciences, Household cooking, Cardiovascular-disease, Environmental health, General & Internal Medicine, parasitic diseases, Life Science, MESH: Sanitation, Risk factor, MESH : Health Behavior, VLAG, GBD2013, MESH: Humans, business.industry, Risk Factor, Global Burden of Disease Study, 79 behavioural, environmental and occupational, and metabolic risks, Long-term exposure, MESH : Humans, CAUSE-SPECIFIC MORTALITY, MESH: Male, Metabolic Disease, Occupational Disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MALE BRITISH DOCTORS, Years of potential life lost, Relative risk, Malalties, MESH : Global Health, OUTDOOR AIR-POLLUTION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH : Environmental Exposure, MESH: Female
Abstract: Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.
Published: 2015

23. Building consensus for the development of child eye care services in South Darfur State of Sudan using the Delphi technique

Author: Kovin Naidoo, Kamal Hashim Binnawi, Peter C. Clarke-Farr, and Saif Hassan Alrasheed
Subjects: Male, Financing, Government, Delphi techniques, Delphi Technique, Eye Diseases, genetic structures, Child Health Services, Delphi method, lcsh:Medicine, Sudan, Government Agencies, 0302 clinical medicine, Promotion (rank), State (polity), Healthcare Financing, Medicine, Child, Original Research, media_common, computer.programming_language, lcsh:Public aspects of medicine, Vision Tests, General Medicine, Work (electrical), child eye care, childhood visual impairment, Female, Family Practice, Consensus, barriers, Health Personnel, media_common.quotation_subject, Eye care, 03 medical and health sciences, Nursing, 030225 pediatrics, Humans, business.industry, lcsh:R, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, eye diseases, Low vision, challenge, 030221 ophthalmology & optometry, Community awareness, business, computer, orthoptic services, Delphi
Abstract: Background: Global estimates suggest there are almost 19 million visually impaired children worldwide, most of whom reside in poor countries, with the major cause being treatable. Aim: To determine the barriers to accessing childhood eye care services and to develop an eye care plan for children in South Darfur State, Sudan. Setting: The study took place in South Darfur State, Sudan. Methods: The classical Delphi technique was used to build consensus on a list of statements, which were generated based on the themes established by the experts, as well as on an extensive literature review. Results: Response rates ranged from 90% in the first round ( n = 18), 100% in the second round ( n = 18) to 89% in the third and final round ( n = 16). The total number of statements recommended by the Delphi panellists for development of the paediatric eye care plan, was 60 based on a consensus level of 80% agreement or more. The expert’s consensus on the following key elements for promotion and improvement of child eye care: The main barriers to accessing child eye care were high poverty rate, unavailability of child eye services and a lack of community awareness. The challenges facing visually impaired children were an absence of paediatric ophthalmologists, low vision and orthoptic services. Conclusion: The main barriers to accessing child eye care services were financial, clinical access and lack of knowledge. There should be greater collaboration between the Ministries of Health, Education and non-governmental organisations (NGOs), to work together in addressing these barriers.
Published: 2018

24. Vision-specific and psychosocial impacts of low vision among patients with low vision at the eastern regional Low Vision Centre

Author: Pirindhavellie Govender, Beatrice Adamptey, and Kovin Naidoo
Subjects: Gerontology, Quality of life, psychosocial implications, genetic structures, business.industry, Simple random sample, Mental health, eye diseases, Low vision, 03 medical and health sciences, 0302 clinical medicine, Quality of life (healthcare), lcsh:Ophthalmology, Interquartile range, lcsh:RE1-994, 030221 ophthalmology & optometry, impact, Medicine, Marital status, 030212 general & internal medicine, business, Psychosocial, Income.status
Abstract: Purpose: To determine vision-specific and psychosocial implications of low vision among patients with low vision visiting the Low Vision Centre of the Eastern Regional Hospital in Ghana.Methodology: This was a descriptive case-control study of 41 patients with low vision and 41 patients with normal vision recruited from the Low Vision Centre of the Eastern Regional Hospital by simple random sampling. Data on vision-specific and psychosocial impacts of low vision was collected using the National Eye Institute Visual Function Questionnaire-25 (NEI VFQ-25). Biographical and clinical characteristics such as age, gender, educational status, marital status, employment and income status were gathered from consenting patients. Mann–Whitney U analysis using Statistical Package for Social Scientists (SPSS) was conducted to compare scores on vision-specific and psychosocial subscales of the NEI VFQ-25 between patients with low vision and patients with normal vision.Results: Patients with low vision recorded the lowest score on the driving subscale (median = 8.33, IQR [interquartile range]: 8.33–41.67, n = 41, p < 0.001), as well as on distance activities (median = 35.42, IQR = 16.70–58.80). Psychosocial implications of low vision included high dependency (median = 33.33, IQR = 25.00–50.00), reduced mental health (median = 37.50, IQR = 25.00–50.00) and limitation in partaking in social activities (median = 50.00, IQR = 37.50–78.00).Conclusion: Low vision has both vision-specific and psychosocial implications for the patients. Low vision management and services should therefore be tailored to meet these psychosocial and vision-specific needs to enable patients better accept their visual changes and to be better prepared to use their remaining vision to achieve their daily goals.
Published: 2018

25. Prevalence and causes of vision loss in South-east Asia and Oceania in 2015: magnitude, temporal trends and projections

Author: Hugh R. Taylor, Rupert R A Bourne, Aditi Das, Robert J Casson, Nina Tahhan, Gretchen A Stevens, Serge Resnikoff, Kovin Naidoo, Jost B. Jonas, Seth Flaxman, Alexander J Silvester, Hans Limburg, Konrad Pesudovs, Tien Yin Wong, John H. Kempen, Janet L Leasher, Jill E Keeffe, Maria Vittoria Cicinelli, Keeffe, J. E., Casson, R. J., Pesudovs, K., Taylor, H. R., Cicinelli, M. V., Das, A., Flaxman, S. R., Jonas, J. B., Kempen, J. H., Leasher, J., Limburg, H., Naidoo, K., Silvester, A. J., Stevens, G. A., Tahhan, N., Wong, T. Y., Resnikoff, S., Bourne, R. R. A., on beahlf of Vision Loss Expert Group of the Global Burden of Disease, Study, and Battaglia Parodi, M
Subjects: Refractive error, Visual acuity, genetic structures, Visual Acuity, Glaucoma, vision loss expert group, Ophthalmology & Optometry, Blindness, 0302 clinical medicine, PRESBYOPIA, WORLDWIDE, Prevalence, POPULATION, Asia, Southeastern, education.field_of_study, GLOBAL PREVALENCE, Sensory Systems, 1113 Opthalmology and Optometry, Blindne, Trachoma, global burden of disease study, epidemiology, medicine.symptom, Life Sciences & Biomedicine, Human, Visual impairment, Population, Oceania, Cataract, 1117 Public Health and Health Services, 03 medical and health sciences, Cellular and Molecular Neuroscience, medicine, vision impairment, Humans, VISUAL IMPAIRMENT, education, Science & Technology, business.industry, 1103 Clinical Sciences, Presbyopia, ADULTS, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, eye diseases, Ophthalmology, REFRACTIVE ERROR, DISTANCE, 030221 ophthalmology & optometry, business, 030217 neurology & neurosurgery, Demography
Abstract: BackgroundTo assess prevalence and causes of vision impairment in South-east Asia and Oceania regions from 1990 to 2015 and to forecast the figures for 2020.MethodsBased on a systematic review of medical literature, prevalence of blindness (presenting visual acuity (PVA) N5 or N8 in the presence of normal vision) were estimated for 1990, 2010, 2015 and 2020.ResultsThe age-standardised prevalence of blindness for all ages and both genders was higher in the Oceania region but lower for MSVI when comparing the subregions. The prevalence of near vision impairment in people≥50 years was 41% (uncertainty interval (UI) 18.8 to 65.9). Comparison of the data for 2015 with 2020 predicts a small increase in the numbers of people affected by blindness, MSVI and mild VI in both subregions. The numbers predicted for near VI in South-east Asia are from 90.68 million in 2015 to 102.88 million in 2020. The main causes of blindness and MSVI in both subregions in 2015 were cataract, uncorrected refractive error, glaucoma, corneal disease and age-related macular degeneration. There was no trachoma in Oceania from 1990 and decreasing prevalence in South-east Asia with elimination predicted by 2020.ConclusionsIn both regions, the main challenges for eye care come from cataract which remains the main cause of blindness with uncorrected refractive error the main cause of MSVI. The trend between 1990 and 2015 is for a lower prevalence of blindness and MSVI in both regions.
Published: 2018

26. Prevalence and causes of vision loss in high-income countries and in Eastern and Central Europe in 2015: magnitude, temporal trends and projections

Author: Janet L Leasher, Tunde Peto, Jill E Keeffe, Nina Tahhan, Konrad Pesudovs, Rohit Varma, Hans Limburg, John H. Kempen, Aditi Das, Alain M. Bron, Jinan Saadine, Jost B. Jonas, Hugh R. Taylor, Rupert R A Bourne, Serge Resnikoff, David S Friedman, Tien Yin Wong, Seth Flaxman, Maria Vittoria Cicinelli, Kovin Naidoo, Alexander J Silvester, Anglia Ruskin University (ARU), University Hospital Center Mannheim, Partenaires INRAE, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Centre National de la Recherche Scientifique (CNRS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), San Raffaele Scientific Institute, Health Education Yorkshire and the Humber, Imperial College London, Wilmer Eye Institute, Johns Hopkins University School of Medicine, L V Prasad Eye Institute, Massachusetts Eye and Ear Infirmary, Medical Center, Nova Southeastern University (NSU), Health Information Services, University of KwaZulu-Natal (UKZN), NHMRC Centre for Clinical Eye Research, Dentistry and Biomedical Sciences, Centers for Disease Control and Prevention, Royal Liverpool University Hospital, La Vision, University of New South Wales [Sydney] (UNSW), Melbourne School of Population Health, Keck School of Medicine of USC, Singapore Eye Research Institute [Singapore] (SERI), National University of Singapore (NUS), Heidelberg University, Flinders University, University of Melbourne, Bourne, Rupert R. A., Bourne, Rra, Jonas, Jb, Bron, Am, Cicinelli, Mv, Das, A, Flaxman, Sr, Friedman, D, Keeffe, Je, Kempen, Jh, Leasher, J, Limburg, H, Naidoo, K, Pesudovs, K, Peto, T, Saadine, J, Silvester, Aj, Tahhan, N, Taylor, Hr, Varma, R, Wong, Ty, Resnikoff, S, on behalf of the Vision Loss Expert Group of the Global Burden of Disease, Study, and Battaglia Parodi, M
Subjects: Refractive error, Organes des sens, genetic structures, Glaucoma, Ophthalmology & Optometry, Macular Degeneration, 0302 clinical medicine, Epidemiology, 030212 general & internal medicine, education.field_of_study, GLOBAL PREVALENCE, public health, DEGENERAÇÃO MACULAR, Diabetic retinopathy, Refractive Errors, Sensory Systems, 3. Good health, Global Issues, Blindne, Europe, 1117 Public Health And Health Services, BLINDNESS, épidémiologie, Female, INDIA, epidemiology, medicine.symptom, OPEN-ANGLE GLAUCOMA, Life Sciences & Biomedicine, Human, Developed Countrie, medicine.medical_specialty, Population, Visual impairment, Sensory Organs, Médecine humaine et pathologie, Cataract, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, VISUAL IMPAIRMENT, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, education, Diabetic Retinopathy, Science & Technology, business.industry, Developed Countries, 1103 Clinical Sciences, Presbyopia, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, MACULAR DEGENERATION, RANIBIZUMAB, 1113 Ophthalmology And Optometry, eye diseases, Ophthalmology, glaucoma, santé publique, glaucome, DISTANCE, 030221 ophthalmology & optometry, Human health and pathology, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Demography
Abstract: BackgroundWithin a surveillance of the prevalence and causes of vision impairment in high-income regions and Central/Eastern Europe, we update figures through 2015 and forecast expected values in 2020.MethodsBased on a systematic review of medical literature, prevalence of blindness, moderate and severe vision impairment (MSVI), mild vision impairment and presbyopia was estimated for 1990, 2010, 2015, and 2020.ResultsAge-standardised prevalence of blindness and MSVI for all ages decreased from 1990 to 2015 from 0.26% (0.10–0.46) to 0.15% (0.06–0.26) and from 1.74% (0.76–2.94) to 1.27% (0.55–2.17), respectively. In 2015, the number of individuals affected by blindness, MSVI and mild vision impairment ranged from 70 000, 630 000 and 610 000, respectively, in Australasia to 980 000, 7.46 million and 7.25 million, respectively, in North America and 1.16 million, 9.61 million and 9.47 million, respectively, in Western Europe. In 2015, cataract was the most common cause for blindness, followed by age-related macular degeneration (AMD), glaucoma, uncorrected refractive error, diabetic retinopathy and cornea-related disorders, with declining burden from cataract and AMD over time. Uncorrected refractive error was the leading cause of MSVI.ConclusionsWhile continuing to advance control of cataract and AMD as the leading causes of blindness remains a high priority, overcoming barriers to uptake of refractive error services would address approximately half of the MSVI burden. New data on burden of presbyopia identify this entity as an important public health problem in this population. Additional research on better treatments, better implementation with existing tools and ongoing surveillance of the problem is needed.
Published: 2018

27. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013

Author: Meghan D. Mooney, Ken Takahashi, Andrea Stewart, Jonathan C Brown, Shireen Sindi, Amany H Refaat, Ruben Castro, Sara Sheikhbahaei, Kyle R. Heuton, Gillian M. Hansen, Chante Karimkhani, Bryan K. Phillips, Ibrahim Abubakar, Yohannes Kinfu, Victoria F Bachman, Konstantinos Stroumpoulis, Megan Coggeshall, Lucía Cuevas-Nasu, Yichong Li, Vineet K. Chadha, Andrew G. M. Bulloch, Takayoshi Ohkubo, Don C. Des Jarlais, Giancarlo Logroscino, Francis Apolinary Mhimbira, Jefferson G Fernandes, Cheng Huang, Ejaz Ahmad Khan, Fortuné Gbètoho Gankpé, Roderick J Hay, Itamar S. Santos, Zanfina Ademi, Fiona J Charlson, Norlinah Mohamed Ibrahim, Anwar Rafay, Andrew L. Thorne-Lyman, Juanita A. Haagsma, Emmanuel A. Ameh, John J. McGrath, Massimo Cirillo, Wubegzier Mekonnen, Holly Hagan, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Dietrich Plass, Matias Trillini, David Phillips, Braden Te Ao, Wanqing Chen, Yun Jin Kim, David Rojas-Rueda, Christina Papachristou, Andrew E. Moran, Richard A. Gosselin, Maziar Moradi-Lakeh, Soraya Seedat, Janet L Leasher, Belinda K Lloyd, Lorenzo Monasta, Bruno F. Sunguya, Eun-Kee Park, Eduardo A. Undurraga, Mohammad A. AlMazroa, Mohammad H. Forouzanfar, Young-Ho Khang, Vasiliki Stathopoulou, Dima M. Qato, James Scott, Ileana Heredia-Pi, Luca Ronfani, Haidong Kan, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Taavi Tillmann, Wang Wenzhi, Neil Pearce, Eric Y. Tenkorang, Aliya Naheed, Ferrán Catalá-López, Sudan Prasad Neupane, Emily Dansereau, Michael McKee, Derrick A Bennett, Mazeda Hossain, Paul S. F. Yip, Grant Nguyen, Norberto Perico, Miguel Angel Alegretti, Babak Eshrati, Boris Bikbov, Palwasha Anwari, Guoqing Hu, Amelia Bertozzi-Villa, Peter A. Meaney, Farshad Farzadfar, Svetlana Popova, Tara Templin, Hmwe H Kyu, Uche S. Uchendu, Kebede Deribe, Sergey Soshnikov, Nobhojit Roy, Daniel Kim, Ilana N. Ackerman, Homie Razavi, Leslie T. Cooper, Sandra Nolte, David T. Felson, John J Huang, Yang Liu, Fiorella Cavalleri, Adrian Davis, Héctor Gómez Dantés, Klara Dokova, Yuantao Hao, Catalina Medina, Austin E Schumacher, Stan Biryukov, Jane Rowley, Arindam Basu, Jose C. Adsuar, Rosana E. Norman, Yousef Khader, Rafael Alfonso-Cristancho, Sukanta Saha, Simón Barquera, Diego Gonzalez-Medina, Philip B. Mitchell, Lars Barregard, Haidong Wang, Yongmei Li, Ami R. Moore, Marie Ng, Raghib Ali, Peter T. Serina, Lijing L Yan, Ayse Abbasoglu Ozgoren, Ricky Leung, Michelle L. Bell, Tim Driscoll, Azmeraw T. Amare, Farshad Pourmalek, Tea Lallukka, Benjamin O Anderson, Raimundas Lunevicius, Corine Karema, Robert G. Weintraub, Erin C Mullany, Anders Larsson, Glen Mola, Paulo A. Lotufo, Luke Nyakarahuka, Sayed Saidul Alam, Louisa Degenhardt, Hugh R. Taylor, E. Ray Dorsey, Suzanne Polinder, Hilton Lam, Urbano Fra Paleo, David Zonies, Rahman Shiri, Marco A Avila, Alicia Elena Beatriz Lawrynowicz, Katya Anne Shackelford, Lynne Gaffikin, Konstantin Kazanjan, Mark T Mackay, Jasvinder A. Singh, Bryan L. Sykes, Sadaf G. Sepanlou, Chantal Huynh, Rakhi Dandona, Logan Sandar, Lavanya Singh, Dietrich Rothenbacher, Theo Vos, Steven E. Lipshultz, Coen H. Van Gool, Peggy P. Chiang, Mark G. Shrime, Christopher J L Murray, Scott Weichenthal, Jae-Hyun Park, Samia Alhabib, Philimon Gona, Christian Kieling, Yuichiro Yano, Ronny Westerman, Thomas Truelsen, Rajeev Gupta, Megan Bohensky, Abdullatif Husseini, Qing Lan, Luke D. Knibbs, Yousef M. Elshrek, H. Ross Anderson, Guohong Jiang, Madeline L. Moyer, Vinod K. Paul, Wim H. van Brakel, Emin Murat Tuzcu, Kara Estep, Lalit Dandona, Uchechukwu K.A. Sampson, Mohammad Tavakkoli, Ying Jiang, Joseph A Wagner, Mitsuru Mukaigawara, In-Hwan Oh, Siyi Shangguan, Noela M. Prasad, Charles D.A. Wolfe, Borja del Pozo-Cruz, Gokalp Kadri Yentur, Hilda L Harb, Elena Alvarez, Carlos A Castañeda-Orjuela, Mustafa Z. Younis, Herbert C. Duber, Erica Leigh Slepak, George A. Mensah, Knud Juel, Graeme J. Hankey, Natan M. Bornstein, Martha Híjar, Johan Ärnlöv, Mohamed Hsairi, Katherine T. Lofgren, Murray B. Stein, Renata Micha, Luigi Naldi, Margreet ten Have, Bolajoko O. Olusanya, Kyle J Foreman, Kenji Shibuya, F. Gerry R. Fowkes, Abdullah Sulieman Terkawi, Rana J. Asghar, Karen M. Tabb, Kovin Naidoo, Rogelio Pérez-Padilla, Honglei Chen, Antônio Luiz Pinho Ribeiro, Rasmus Havmoeller, Yukito Shinohara, Bongani M. Mayosi, Ernst J Kuipers, Konrad Pesudovs, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Thomas D. Fleming, Pouria Heydarpour, Stephen G. Waller, Nicholas Graetz, Chanda Kulkarni, Peter Brooks, Gulfaraz Khan, Marcel Tanner, Van C. Lansingh, François Alla, Jamie Hancock, Yohannes Adama Melaku, Neeraj Bedi, Anthony D. Woolf, Tariku Jibat Beyene, Amanda W Pain, Eric L. Ding, Narayanaswamy Venketasubramanian, Semaw Ferede Abera, Devina Nand, Odgerel Chimed-Ochir, George D Thurston, Victor Aboyans, Alanur Çavlin, Jefferson Traebert, Michael R. Phillips, Yingfeng Zheng, Baffour Awuah, Carlo Irwin A. Panelo, Selen Begüm Uzun, Muhammad Imran Nisar, Samir Soneji, Veena S. Kulkarni, Mukesh Dherani, Stephen S Lim, Andre Keren, Kingsley N. Ukwaja, Sajjad Ur Rahman, Giuseppe Remuzzi, Kjetil Søreide, Blake Thomson, Samath D Dharmaratne, Christopher D. Blosser, David H. Rothstein, Amanda G. Thrift, Fabrizio Tediosi, Andrew H. Kemp, H. Dean Hosgood, Yoshihiro Kokubo, Miia Kivipelto, Amitava Banerjee, Edgar P. Simard, Reza Malekzadeh, Maggie Lind, Robert P. Dellavalle, Emerito Jose A. Faraon, Lydia S. Atkins, Tom Achoki, Aslam Pervaiz, Peter Scarborough, Hans W. Hoek, Ettore Beghi, Emilie Agardh, Abraham D. Flaxman, Dariush Mozaffarian, Juan R. Sanabria, Muluken Dessalegn, David C. Schwebel, Caitlyn Steiner, Ubai Alsharif, Richard C. Franklin, Gail Davey, Gelin Xu, Reyna A Gutiérrez, Joannie Lortet-Tieulent, Ashish Bhalla, Jost B. Jonas, Paul N. Jensen, Simon I. Hay, Xiaonong Zou, Andre Pascal Kengne, Tolesa Bekele, Brittany Wurtz, Jung-Chen Chang, Joseph Murray, Luciano A. Sposato, Stefan Ma, Summer Lockett Ohno, Charles R. Newton, Bradford D. Gessner, JianLi Wang, Scott B. Patten, Thomas Fürst, Carol Brayne, Christina Fitzmaurice, Peilin Shi, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Peter W. Gething, Cesar Diaz-Torne, Burcu Kucuk Bicer, Bo Norrving, Carly E Levitz, Adam D M Briggs, Sungroul Kim, Isabela M. Benseñor, John A. Crump, Sergey Petrovich Ermakov, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Marcella Montico, Sanjay Krishnaswami, Kim Moesgaard Iburg, Ann Kristin Knudsen, Sun Ha Jee, Valery L. Feigin, Christine M. Budke, Anne Bulchis, Anand Dayama, Jonathan R. Carapetis, Cyrus Cooper, Teresa Shamah Levy, Ismael R. Campos-Nonato, Nataliya A. Foigt, Beth E. Ebel, Max Petzold, Heresh Amini, Ole Frithjof Norheim, Zulfiqar A Bhutta, Dan Poenaru, Jim van Os, Michele E. Murdoch, Samantha M. Colquhoun, Michael H. Criqui, Giorgia Giussani, Man Mohan Mehndiratta, Thomas N. Williams, Chandrashekhar T Sreeramareddy, Chuanhua Yu, Luis M. Coppola, Thomas J. Montine, Alaa Badawi, Eduardo Bernabé, Melvin Barrientos Marzan, James Leigh, Frédéric B. Piel, Ratilal Lalloo, Panniyammakal Jeemon, Maheswar Satpathy, Hélène Carabin, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Ryan M Barber, Fotis Topouzis, Bin Li, Serge Resnikoff, Taavi Lai, Rachelle Buchbinder, Randah R. Hamadeh, Valeria Caso, Holly E. Erskine, Dragos Virgil Davitoiu, Miltiadis K. Tsilimbaris, Rachel L. Pullan, Ben Schöttker, Rafael Lozano, Damian G Hoy, Fiona M. Blyth, Belinda J. Gabbe, Hebe N. Gouda, Farhad Islami, Atte Meretoja, Christopher Margono, Marissa Iannarone, Ronan A Lyons, Wilkister N. Moturi, Donald H. Silberberg, Alexandra Brazinova, Monica Cortinovis, Deena Alasfoor, Richard Matzopoulos, Jerry Abraham, Francesco Saverio Violante, Monika Sawhney, Dorairaj Prabhakaran, Valentina Colistro, Derek F J Fay, Mamta Swaroop, Nima Hafezi-Nejad, John Nelson Opio, Hanne Christensen, Jun She, Soewarta Kosen, Atsushi Goto, Costas A. Christophi, Jeyaraj D. Pandian, Peter J. Hotez, K. Srinath Reddy, Al Artaman, Peter Allebeck, Jonas Minet Kinge, Graham S Cooke, Dan J. Stein, Kawkab Shishani, Laith J. Abu-Raddad, Katrina F Ortblad, Deborah Jarvis, Arsène Kouablan Adou, Barthelemy Kuate Defo, Alan D. Lopez, G Anil Kumar, K.M. Venkat Narayan, Yong Zhao, Rajiv Chowdhury, Hadi Danawi, George C Patton, Vasiliy Victorovich Vlassov, André Karch, Tommi J. Vasankari, Matthias Endres, Ione Jayce Ceola Schneider, Nelson Alvis-Guzman, Charles N Mock, Katharine J Looker, Bach Xuan Tran, Fernando Perez-Ruiz, Harish Chander Gugnani, Reza Assadi, Hannah Hamavid, Rosario Cárdenas, Mohammed I. Albittar, Sarah Derrett, Mohammad Yahya Saeedi, Traolach S. Brugha, Jan Hendrik Richardus, Alireza Esteghamati, Seok Jun Yoon, Josep Maria Haro, Michael Brainin, Ziad A. Memish, Rupert R A Bourne, Katherine B Gibney, David M. Pereira, Kathryn H. Jacobsen, Luc E. Coffeng, Joshua A. Salomon, Xia Wan, Ian Bolliger, Boris I. Pavlin, Karen Sliwa, Tati S. Warouw, Geoffrey Buckle, Chakib Nejjari, Diego De Leo, Ashkan Afshin, Vinay Nangia, Daniel Pope, Johanna M. Geleijnse, Nikhil Tandon, Kelly Bienhoff, Jed D. Blore, Walid Ammar, D. Allen Roberts, Elisabete Weiderpass, Gregory A. Roth, Manami Inoue, James D. Wilkinson, Hideaki Toyoshima, Soufiane Boufous, Ivy Shiue, Edward J Mills, Leilei Duan, Matthew M Coates, Ganesan Karthikeyan, Alberto Ortiz, Steven van de Vijver, David Carpenter, Suzanne Lyn Barker-Collo, Antony Stevens, Sanjay Basu, Maria Cecilia Bahit, Kaire Innos, Lindsay N. Boyers, Nicholas J K Breitborde, Alize J. Ferrari, Timothy M. Wolock, Simerjot K. Jassal, Mohammad Ali Sahraian, Joanna Moschandreas, Howard J. Hoffman, Hideki Higashi, George M. Ruhago, Karzan Abdulmuhsin Mohammad, Mohammed Basulaiman, D. Alex Quistberg, Justin Beardsley, Marcello Tonelli, Maurice Giroud, Karen Edmond, Norito Kawakami, Mohammad T Mashal, Neeraj Bhala, Carl Abelardo T. Antonio, David Tanne, Abhishek Singh, Kazem Rahimi, Vivekanand Jha, Wagner Marcenes, David J. Margolis, Yara A. Halasa, Zewdie Aderaw Alemu, Carrie Beth Peterson, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Robyn M. Lucas, Sarah Wulf, Lars Jacob Stovner, Mohsen Naghavi, Vegard Skirbekk, Ulrich Otto Mueller, Pengpeng Ye, Ali H. Mokdad, Dipan Bose, Saleem M Rana, Jeffrey D Stanaway, Abigail Mclain, Timothy J. Steiner, Amira Shaheen, Stein Emil Vollset, Andrea Werdecker, Michele Meltzer, Richie G Poulton, Joseph R. Masci, Inga Dora Sigfusdottir, Daniel Dicker, Maysaa El Sayed Zaki, Shiwei Liu, Julio C. Montañez Hernandez, Valentina Arsić Arsenijević, William Msemburi, Lope H Barrero, Linhong Wang, Soumya Swaminathan, Harvey Whiteford, Michael F. Macintyre, Berrak Bora Basara, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Carolyn C. Gotay, Niveen M E Abu-Rmeileh, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Neil McGill, Murray, Christopher J. L, Barber, Ryan M., Foreman, Kyle J., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw F., Aboyans, Victor, Abraham, Jerry P., Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M., Achoki, Tom, Ackerman, Ilana N., Ademi, Zanfina, Adou, Arsène K., Adsuar, José C., Afshin, Ashkan, Agardh, Emilie E., Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I., Alegretti, Miguel A., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Françoi, Allebeck, Peter, Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Heresh, Ammar, Walid, Anderson, H. Ro, Anderson, Benjamin O., Antonio, Carl Abelardo T., Anwari, Palwasha, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Avila, Marco A., Awuah, Baffour, Bachman, Victoria F., Badawi, Alaa, Bahit, Maria C., Balakrishnan, Kalpana, Banerjee, Amitava, Barker-Collo, Suzanne L., Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O., Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bekele, Tolesa, Bell, Michelle L., Benjet, Corina, Bennett, Derrick A., Bensenor, Isabela M., Benzian, Habib, Bernabé, Eduardo, Bertozzi-Villa, Amelia, Beyene, Tariku J., Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A., Bienhoff, Kelly, Bikbov, Bori, Biryukov, Stan, Blore, Jed D., Blosser, Christopher D., Blyth, Fiona M., Bohensky, Megan A., Bolliger, Ian W., Başara, Berrak Bora, Bornstein, Natan M., Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R. A., Boyers, Lindsay N., Brainin, Michael, Brayne, Carol E., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briggs, Adam D., Brooks, Peter M., Brown, Jonathan C., Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Budke, Christine M., Bulchis, Anne, Bulloch, Andrew G., Campos-Nonato, Ismael R., Carabin, Hélène, Carapetis, Jonathan R., Cárdenas, Rosario, Carpenter, David O., Caso, Valeria, Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chen, Honglei, Chen, Wanqing, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Cirillo, Massimo, Coates, Matthew M., Coffeng, Luc E., Coggeshall, Megan S., Colistro, Valentina, Colquhoun, Samantha M., Cooke, Graham S., Cooper, Cyru, Cooper, Leslie T., Coppola, Luis M., Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dansereau, Emily, Dargan, Paul I., Davey, Gail, Davis, Adrian, Davitoiu, Dragos V., Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Dicker, Daniel, Ding, Eric L., Dokova, Klara, Dorsey, E Ray, Driscoll, Tim R., Duan, Leilei, Duber, Herbert C., Ebel, Beth E., Edmond, Karen M., Elshrek, Yousef M., Endres, Matthia, Ermakov, Sergey P., Erskine, Holly E., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose A., Farzadfar, Farshad, Fay, Derek F., Feigin, Valery L., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferrari, Alize J., Fitzmaurice, Christina, Flaxman, Abraham D., Fleming, Thomas D., Foigt, Nataliya, Forouzanfar, Mohammad H., Fowkes, F Gerry R., Paleo, Urbano Fra., Franklin, Richard C., Fürst, Thoma, Gabbe, Belinda, Gaffikin, Lynne, Gankpé, Fortuné G., Geleijnse, Johanna M., Gessner, Bradford D., Gething, Peter, Gibney, Katherine B., Giroud, Maurice, Giussani, Giorgia, Dantes, Hector Gomez, Gona, Philimon, González-Medina, Diego, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Graetz, Nichola, Gugnani, Harish C., Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A., Haagsma, Juanita, Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara A., Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hancock, Jamie, Hankey, Graeme J., Hansen, Gillian M., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I., Hay, Roderick J., Heredia-Pi, Ileana B., Heuton, Kyle R., Heydarpour, Pouria, Higashi, Hideki, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hosgood, H Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J., Husseini, Abdullatif, Huynh, Chantal, Iannarone, Marissa L., Iburg, Kim M., Innos, Kaire, Inoue, Manami, Islami, Farhad, Jacobsen, Kathryn H., Jarvis, Deborah L., Jassal, Simerjot K., Jee, Sun Ha, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Juel, Knud, Kan, Haidong, Karch, André, Karema, Corine K., Karimkhani, Chante, Karthikeyan, Ganesan, Kassebaum, Nicholas J., Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kemp, Andrew H., Kengne, Andre P., Keren, Andre, Khader, Yousef S., Khalifa, Shams Eldin A., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kinfu, Yohanne, Kinge, Jonas M., Kivipelto, Miia, Knibbs, Luke D., Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G Anil, Kyu, Hmwe H., Lai, Taavi, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larsson, Ander, Lawrynowicz, Alicia E. B., Leasher, Janet L., Leigh, Jame, Leung, Ricky, Levitz, Carly E., Li, Bin, Li, Yichong, Li, Yongmei, Lim, Stephen S., Lind, Maggie, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., Lofgren, Katherine T., Logroscino, Giancarlo, Looker, Katharine J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Lozano, Rafael, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macintyre, Michael F., Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Marcenes, Wagner, Margolis, David J., Margono, Christopher, Marzan, Melvin B., Masci, Joseph R., Mashal, Mohammad T., Matzopoulos, Richard, Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abigail, Meaney, Peter A., Medina, Catalina, Mehndiratta, Man Mohan, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George A., Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L. D., Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Montine, Thomas J., Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moran, Andrew E., Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline L., Mozaffarian, Dariush, Msemburi, William T., Mueller, Ulrich O., Mukaigawara, Mitsuru, Mullany, Erin C., Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K M. Venkat, Nejjari, Chakib, Neupane, Sudan P., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nguyen, Grant, Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Ohno, Summer L., Olusanya, Bolajoko O., Opio, John Nelson, Ortblad, Katrina, Ortiz, Alberto, Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Park, Jae-Hyun, Patten, Scott B., Patton, George C., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, Bryan K., Phillips, David E., Piel, Frédéric B., Plass, Dietrich, Poenaru, Dan, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Pullan, Rachel L., Qato, Dima M., Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahman, Sajjad U., Raju, Murugesan, Rana, Saleem M., Razavi, Homie, Reddy, K Srinath, Refaat, Amany, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Richardson, Lee, Richardus, Jan Hendrik, Roberts, D Allen, Rojas-Rueda, David, Ronfani, Luca, Roth, Gregory A., Rothenbacher, Dietrich, Rothstein, David H., Rowley, Jane T., Roy, Nobhojit, Ruhago, George M., Saeedi, Mohammad Y., Saha, Sukanta, Sahraian, Mohammad Ali, Sampson, Uchechukwu K. A., Sanabria, Juan R., Sandar, Logan, Santos, Itamar S., Satpathy, Maheswar, Sawhney, Monika, Scarborough, Peter, Schneider, Ione J., Schöttker, Ben, Schumacher, Austin E., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serina, Peter T., Servan-Mori, Edson E., Shackelford, Katya A., Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Slepak, Erica Leigh, Sliwa, Karen, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Stein, Dan J., Stein, Murray B., Steiner, Caitlyn, Steiner, Timothy J., Stevens, Antony, Stewart, Andrea, Stovner, Lars J., Stroumpoulis, Konstantino, Sunguya, Bruno F., Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Tediosi, Fabrizio, Temesgen, Awoke M., Templin, Tara, Ten Have, Margreet, Tenkorang, Eric Y., Terkawi, Abdullah S., Thomson, Blake, Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Tillmann, Taavi, Tonelli, Marcello, Topouzis, Foti, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trillini, Matia, Truelsen, Thoma, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Vasankari, Tommi J., Venketasubramanian, N, Violante, Francesco S., Vlassov, Vasiliy V., Vollset, Stein Emil, Wagner, Gregory R., Wagner, Joseph, Waller, Stephen G., Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Wenzhi, Wang, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A., Wilkinson, James D., Williams, Thomas N., Wolfe, Charles D., Wolock, Timothy M., Woolf, Anthony D., Wulf, Sarah, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L., Yano, Yuichiro, Ye, Pengpeng, Yentür, Gökalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Maysaa E., Zhao, Yong, Zheng, Yingfeng, Zonies, David, Zou, Xiaonong, Salomon, Joshua A., Lopez, Alan D., Vos, Theo, Medische Sociologie, MUMC+: Hersen en Zenuw Centrum (3), MUMC+: MA Psychiatrie (3), Psychiatrie & Neuropsychologie, Barber, Ryan M, Foreman, Kyle J, Abd Allah, Foad, Abera, Semaw F, Abraham, Jerry P, Abu Raddad, Laith J, Abu Rmeileh, Niveen M, Ackerman, Ilana N, Adou, Arsène K, Adsuar, José C, Agardh, Emilie E, Albittar, Mohammed I, Alegretti, Miguel A, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Almazroa, Mohammad A, Alvis Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Anderson, Benjamin O, Antonio, Carl Abelardo T, Asghar, Rana J, Atkins, Lydia S, Avila, Marco A, Bachman, Victoria F, Bahit, Maria C, Barker Collo, Suzanne L, Barrero, Lope H, Basulaiman, Mohammed O, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Bertozzi Villa, Amelia, Beyene, Tariku J, Bhutta, Zulfiqar A, Blore, Jed D, Blosser, Christopher D, Blyth, Fiona M, Bohensky, Megan A, Bolliger, Ian W, Bornstein, Natan M, Bourne, Rupert R. A, Boyers, Lindsay N, Brayne, Carol E, Breitborde, Nicholas J. K, Briggs, Adam D, Brooks, Peter M, Brown, Jonathan C, Brugha, Traolach S, Buckle, Geoffrey C, Budke, Christine M, Bulloch, Andrew G, Campos Nonato, Ismael R, Carapetis, Jonathan R, Carpenter, David O, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chiang, Peggy P, Chimed Ochir, Odgerel, Christophi, Costas A, Coates, Matthew M, Coffeng, Luc E, Coggeshall, Megan S, Colquhoun, Samantha M, Cooke, Graham S, Cooper, Leslie T, Coppola, Luis M, Criqui, Michael H, Crump, John A, Cuevas Nasu, Lucia, Dargan, Paul I, Davitoiu, Dragos V, Del Pozo Cruz, Borja, Dellavalle, Robert P, Jarlais, Don C. De, Dharmaratne, Samath D, Dherani, Mukesh K, Diaz Torné, Cesar, Ding, Eric L, Dorsey, E. 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Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iannarone, Marissa L, Iburg, Kim M, Jacobsen, Kathryn H, Jarvis, Deborah L, Jassal, Simerjot K, Jensen, Paul N, Jonas, Jost B, Karema, Corine K, Kassebaum, Nicholas J, Kemp, Andrew H, Kengne, Andre P, Khader, Yousef S, Khalifa, Shams Eldin A, Khan, Ejaz A, Khang, Young Ho, Kinge, Jonas M, Knibbs, Luke D, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G. Anil, Kyu, Hmwe H, Lansingh, Van C, Lawrynowicz, Alicia E. B, Leasher, Janet L, Levitz, Carly E, Lim, Stephen S, Lipshultz, Steven E, Lloyd, Belinda K, Lofgren, Katherine T, Looker, Katharine J, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lucas, Robyn M, Lyons, Ronan A, Macintyre, Michael F, Mackay, Mark T, Margolis, David J, Marzan, Melvin B, Masci, Joseph R, Mashal, Mohammad T, Mayosi, Bongani M, Mazorodze, Tasara T, Mcgill, Neil W, Mcgrath, John J, Meaney, Peter A, Melaku, Yohannes A, Memish, Ziad A, Mensah, George A, Mhimbira, Francis A, Miller, Ted R, Mills, Edward J, Mitchell, Philip B, Mock, Charles N, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L. D, Montine, Thomas J, Mooney, Meghan D, Moore, Ami R, Moradi Lakeh, Maziar, Moran, Andrew E, Moturi, Wilkister N, Moyer, Madeline L, Msemburi, William T, Mueller, Ulrich O, Mullany, Erin C, Murdoch, Michele E, Murthy, Kinnari S, Naidoo, Kovin S, Narayan, K. M. Venkat, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, Nisar, Muhammad I, Norheim, Ole F, Norman, Rosana E, Oh, In Hwan, Ohno, Summer L, Olusanya, Bolajoko O, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Park, Eun Kee, Park, Jae Hyun, Patten, Scott B, Patton, George C, Paul, Vinod K, Pavlin, Boris I, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Peterson, Carrie B, Phillips, Michael R, Phillips, Bryan K, Phillips, David E, Piel, Frédéric B, Poulton, Richie G, Prasad, Noela M, Pullan, Rachel L, Qato, Dima M, Quistberg, D. Alex, Rahman, Sajjad U, Rana, Saleem M, Reddy, K. Srinath, Ribeiro, Antonio L, Roberts, D. Allen, Rojas Rueda, David, Roth, Gregory A, Rothstein, David H, Rowley, Jane T, Ruhago, George M, Saeedi, Mohammad Y, Sampson, Uchechukwu K. A, Sanabria, Juan R, Santos, Itamar S, Schneider, Ione J, Schumacher, Austin E, Schwebel, David C, Scott, James G, Sepanlou, Sadaf G, Serina, Peter T, Servan Mori, Edson E, Shackelford, Katya A, Shrime, Mark G, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Singh, Jasvinder A, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stein, Dan J, Stein, Murray B, Steiner, Timothy J, Stovner, Lars J, Sunguya, Bruno F, Sykes, Bryan L, Tabb, Karen M, Taylor, Hugh R, Ao, Braden J. Te, Temesgen, Awoke M, Tenkorang, Eric Y, Terkawi, Abdullah S, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tran, Bach X, Tuzcu, Emin M, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uzun, Selen B, Van Brakel, Wim H, van Gool, Coen H, Vasankari, Tommi J, Violante, Francesco S, Vlassov, Vasiliy V, Wagner, Gregory R, Waller, Stephen G, Warouw, Tati S, Weintraub, Robert G, Whiteford, Harvey A, Wilkinson, James D, Williams, Thomas N, Wolfe, Charles D, Wolock, Timothy M, Woolf, Anthony D, Yan, Lijing L, Yentür, Gökalp K, Yoon, Seok Jun, Younis, Mustafa Z, Zaki, Maysaa E, Salomon, Joshua A, Lopez, Alan D, Computational Science and Engineering Department [Daresbury] ( STFC ), Science & Technologie Facilities Council, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Weill Cornell Medical College - Qatar, Qatar Foundation - Education City, Doha, Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Karolinska Institute, karolinska institute, Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Wisconsin Division of Public Health, Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Computer Science Department [Bristol], University of Bristol [Bristol], Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, University of Southampton [Southampton], Imperial College London, Neurology Department, Ichilov Medical Center, Department of Public Health and Primary Care, Cambridge University, Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Université de Tours, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institute of Parasitology, STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), Tennent Institute of Ophthalmology, National University of Singapore ( NUS ), Multidisciplinary Nanotechnology Centre, Swansea University, Department of Computer Sciences [Scheffield], University of Sheffield [Sheffield], Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Glasgow Centre for Physical Organic Chemistry, University of Glasgow, King‘s College London, Université Panthéon-Sorbonne - UFR Science Politique ( UP1 UFR11 ), Université Panthéon-Sorbonne ( UP1 ), National Diagnostics Centre ( NDC ), National University of Ireland [Galway] ( NUI Galway ), Arthritis Research UK Epidemiology Unit ( MANCHESTER - Arthritis Research ), University of Manchester [Manchester], CEGOT - Porto, Universidade do Porto [Porto], Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Department of Biology [Miami], University of Miami [Coral Gables], Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] ( WUR ), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), University of Connecticut ( UCONN ), Norwegian Institute for Air Research ( NILU ), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Friedrich-Alexander Universität Erlangen-Nürnberg ( FAU ), Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Physics and Astronomy, Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Université Catholique de Louvain ( UCL ), Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Univ New Delhi, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Karolinska Institutet [Stockholm], Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center ( TRDDC ), TCS Innovation Labs, Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency ( FOI ), Centre de Recherche en Information Biomédicale sino-français ( CRIBS ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Southeast University [Jiangsu]-School of Computer Science and Engineering, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Business and Informatics, University of Boras, Department of Mechanical and Automation Engineering ( CAD Laboratory ), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), Department of plant pathology and microbiology - centre for sustainable pest and disease management, Rothamsted Research, RGU, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale ( IDSIA ), Università della Svizzera italiana ( USI ) -Scuola universitaria professionale della Svizzera italiana [Manno] ( SUPSI ), Anaesthetics, Southampton University Hospital, Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, PennState University [Pennsylvania] ( PSU ), University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Department of epidemiology and Public Health, Faculty of Medicine, Hong Kong Baptist University ( HKBU ), Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Department of Neurology Lunds University Hospital Lund, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux ( SAMOVAR ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ) -Centre National de la Recherche Scientifique ( CNRS ), Département Réseaux et Services Multimédia Mobiles ( RS2M ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], Institut Lumière Matière [Villeurbanne] ( ILM ), Université Claude Bernard Lyon 1 ( UCBL ), World Health Organization, Nordic School of Public Health, The James Hutton Institute, Sero, Sero consulting, Evolutionary Ecology of Infectious Disease Group, Department of Zoology, Horia Hulubei National Institute for Physics and Nuclear Engineering, Dunedin School of Medicine, University of Otago, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Dept.of Computer Science, Indian Institute of Technology Madras ( IIT Madras ), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Université Grenoble Alpes - UFR Médecine ( UGA UFRM ), Université Grenoble Alpes ( UGA ), Clinical Epidemiology and Aging Research, German Cancer Research Center, Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Symantec, European Microsoft Innovation Center ( EMIC ), Microsoft Corporation [Redmond, Wash.], Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), Novartis institute for tropical diseases, Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Departments of Anatomy and Cell Biology, Wayne State University School of Medicine, Departments of Ophthalmology, Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, Yale School of Medicine-Yale School of Medicine-Yale Stem Cell Center, Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute ( NEST ), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology ( LICB ), National Institutes of Health ( NIH ), Institute of Human Genetics, Bonn Universität [Bonn], Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] ( KTH ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, NICTA [Eveleigh], National ICT Australia [Sydney] ( NICTA ), Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), German Research Centre for Geosciences - Helmholtz-Centre Potsdam ( GFZ ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Neurorestoration Group, King‘s College London-Wolfson Centre for Age-related Diseases, Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Computational Science and Engineering Department [Daresbury] (STFC), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Weill Cornell Medicine [Qatar], Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, University of Southampton, University of Cambridge [UK] (CAM), Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours (UT), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Stanford University, Unité de recherche Virologie et Immunologie Moléculaires (VIM (UR 0892)), Institut National de la Recherche Agronomique (INRA), National University of Singapore (NUS), Université Paris 1 Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Paris 1 Panthéon-Sorbonne (UP1), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Arthritis Research UK Epidemiology Unit (MANCHESTER - Arthritis Research), Universidade do Porto = University of Porto, Advanced Laboratories on Embedded Systems [Roma] (ALES), Wageningen University and Research [Wageningen] (WUR), University of Oxford, Universitat Politècnica de Catalunya [Barcelona] (UPC), Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), University of Connecticut (UCONN), Norwegian Institute for Air Research (NILU), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Tehran, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), The George Washington University (GW), Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Catholique de Louvain = Catholic University of Louvain (UCL), Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), School of Physics and Astronomy [St Andrews], Tata Research Development and Design Center (TRDDC), MOLTECH-Anjou, Université d'Angers (UA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Swedish Defense Research Agency (FOI), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratory of Image Science and Technology [Nanjing] (LIST), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana = University of Applied Sciences and Arts of Southern Switzerland [Manno] (SUPSI), Pennsylvania State University (Penn State), Penn State System-Penn State System, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Hong Kong Baptist University (HKBU), Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), University of Melbourne, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Otago [Dunedin, Nouvelle-Zélande], Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Madras (IIT Madras), Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Microsoft Innovation Center (EMIC), Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Novartis Institute for Tropical Diseases (NITD), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Mathematical Modeling (CMM), Universidad de Chile = University of Chile [Santiago] (UCHILE), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], University of Occupational and Environmental Health [Kitakyushu] (UEOH), Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven]-Yale School of Medicine [New Haven, Connecticut] (YSM), Nanoscience Institute (NEST), University of Pisa - Università di Pisa, Laboratory Of Immune Cell Biology (LICB), National Institutes of Health [Bethesda] (NIH), Rheinische Friedrich-Wilhelms-Universität Bonn, Royal Institute of Technology [Stockholm] (KTH ), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), National ICT Australia [Sydney] (NICTA), Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Kardiyoloji, Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Unité de recherche Virologie et Immunologie Moléculaires (VIM), Université Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Panthéon-Sorbonne (UP1), Wageningen University and Research Centre [Wageningen] (WUR), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), George Washington University (GW), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Université Catholique de Louvain (UCL), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università della Svizzera italiana (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), California Institute of Technology (CALTECH)-NASA, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services Multimédia Mobiles (RS2M), Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Université Grenoble Alpes (UGA), Universidad de Santiago de Chile [Santiago] (USACH), Yale University [New Haven]-Yale University School of Medicine, Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Université de Nantes - Faculté des Sciences et des Techniques, Grelier, Elisabeth, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Universidade do Porto, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Università degli studi di Bari Aldo Moro (UNIBA), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Belfort-Montbeliard (UTBM), Institut de Chimie du CNRS (INC)-Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Wolfson Centre for Age-related Diseases-King‘s College London, Cell biology, Public Health, Epidemiology, Health Technology Assessment (HTA), Erasmus MC other, Pathology, and Cardiothoracic Surgery
Subjects: Gerontology, Male, CHANGING RELATION, Nutrition and Disease, MESH : Life Expectancy, MESH : Aged, ECONOMIC-DEVELOPMENT, Poison control, MESH: Global Health, Global Health, Socioeconomic Factor, Communicable Disease, MESH : Chronic Disease, Health Transition, Voeding en Ziekte, Quality-Adjusted Life Year, SELF-RATED HEALTH, MESH : Socioeconomic Factors, Medicine, MESH : Female, MESH: Mortality, Premature, 2. Zero hunger, MESH: Aged, education.field_of_study, MESH: Middle Aged, Mortality rate, Medicine (all), GBD2013 diseases, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, General Medicine, Middle Aged, 3. Good health, MESH : Wounds and Injuries, Epidemiological transition, MESH: Quality-Adjusted Life Years, MESH: Communicable Diseases, NONCOMMUNICABLE DISEASES, Female, Quality-Adjusted Life Years, MESH: Life Expectancy, MESH: Health Transition, Human, MESH: Socioeconomic Factors, ACUTE MYOCARDIAL-INFARCTION, MESH : Male, MORTALITY TRENDS, Population, MESH : Health Transition, Communicable Diseases, Article, Life Expectancy, EUROPEAN-UNION, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Disability-adjusted life year, Humans, Life Science, MESH : Middle Aged, Mortality, education, Premature, MESH : Mortality, Premature, VLAG, Aged, MESH: Humans, business.industry, Mortality, Premature, MESH: Chronic Disease, MESH : Communicable Diseases, Wounds and Injurie, MESH : Humans, MESH : Quality-Adjusted Life Years, Non-communicable disease, Chronic Disease, Socioeconomic Factors, Wounds and Injuries, medicine.disease, MESH: Male, LOW SOCIOECONOMIC-STATUS, Years of potential life lost, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Wounds and Injuries, Life expectancy, RISK-FACTORS, MESH : Global Health, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH: Female, Demography
Abstract: Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Funding Bill & Melinda Gates Foundation. BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.
Published: 2015

28. Evaluations of refraction competencies of ophthalmic technicians in Mozambique

Author: Margarida Chagunda, Kovin Naidoo, James Loughman, and Kajal Shah
Subjects: Adult, Male, education, Demographic profile, Ophthalmologic Surgical Procedures, Eye care, Competency evaluation, ophthalmic technicians, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Post training, Medicine and Health Sciences, Medicine, lcsh:QC350-467, Humans, 030212 general & internal medicine, Competence (human resources), Curriculum, Mozambique, Medical education, refraction, Técnicos oftálmicos, business.industry, Ophthalmic Assistants, Evaluación de competencia, Incremento de conocimientos, Ophthalmic technicians, Middle Aged, Refracción, Refractive Errors, Competency-Based Education, Refraction, Ophthalmology, lcsh:RE1-994, 030221 ophthalmology & optometry, Upskilling, Optometry, Original Article, Female, Clinical Competence, Educational Measurement, business, Clinical skills, lcsh:Optics. Light
Abstract: Purpose Ophthalmic technicians (OT) work at health facilities in Mozambique and are trained to provide primary and secondary eye care services including basic refraction. This study was designed to assess OT competence and confidence in refraction, and investigate whether an upskilling programme is effective in developing their competence and confidence at refraction. Methods Thirty-one trainee OTs and 16 qualified OTs were recruited to the study. A background questionnaire was administered to determine the demographic profile of the OTs. A confidence levels questionnaire explored their self-reported skills. Clinical competencies were assessed in relation to knowledge (theory exam) and clinical skills (patient exams). 11 OTs were upskilled and the clinical evaluations carried out post training. Results Initial evaluations demonstrated that confidence and competence levels varied depending on the OTs training (location and duration), and their location of work (clinical load, availability of equipment and other eye care personnel). The qualified OTs were more competent than trainee OTs in most of the evaluations. Post upskilling results demonstrated significant positive impact on confidence and competence levels. Conclusion These evaluations identified factors affecting the refraction competencies of the OTs and demonstrated that upskilling is effective in improving confidence and competence levels for refraction. They demonstrate the need for a refraction competency framework. The overarching aim of this research was to inform the development of a nationwide programme of OT mentoring, upskilling and leading to the establishment of clinical competency standards for the new OT curricula, relevant to the professional demands.
Published: 2015

29. Barriers to Use of Refractive Services in Mozambique

Author: Farai Chinanayi, Carmen Gonzalez-Alvarez, Stephen C. Thompson, James Loughman, Kovin Naidoo, and Geoff Harris
Subjects: Adult, Male, Rural Population, Adolescent, Urban Population, barriers, media_common.quotation_subject, Population, Psychological intervention, Context (language use), eye health services, Health Services Accessibility, uncorrected refractive error, service uptake, Young Adult, Indirect costs, Health care, Humans, Medicine, Quality (business), Marketing, education, Mozambique, Aged, media_common, Aged, 80 and over, Service (business), Health Services Needs and Demand, education.field_of_study, business.industry, Original Articles, Health Care Costs, Health Services, Middle Aged, Refractive Errors, Ophthalmology, Cross-Sectional Studies, Eyeglasses, Optometry, Female, Rural area, business
Abstract: Mozambique has a population of more than 25 million people.1 Nampula Province has just fewer than 4 million people.2 Although Mozambique is currently experiencing unprecedented economic growth rates, buoyed by the discovery of natural resources, significant challenges remain for the population, such as adequate health care, including eye health services. VISION 2020 is a global initiative to eliminate avoidable blindness by the year 2020. Its core strategies are focused on human resource development, infrastructure development, and disease control.3 The Mozambique Eyecare Project delivered a regional optometry model for Lusophone Africa, based on the VISION 2020 core strategies. A key output was a higher education program for optometry. Mozambique’s first professional optometrists graduated from Universidade de Lurio in Nampula in 2013. To achieve the VISION 2020 goals, the services the optometrists are trained to provide must be fully implemented. To realize this potential, the use of refraction services by the general public must be fully understood.4 The body of evidence that exists in relation to the uptake of eye health services is limited. Research suggests that cost is the most significant barrier to eye health services.4–6 Indirect costs, such as transport, food, and lodgings, may also limit uptake.7 However, if cost as a barrier is removed, service uptake is not guaranteed.8 Even when eye health services are provided at no cost, not all patients choose to access them.9,10 In some instances, people with eye health needs may be unaware of free or subsidized services. A lack of information about the service may be as much of a barrier as cost.11 The significance of cost as a barrier may change with time. With ready-made spectacles, which provide a suitable correction for a significant proportion of refractive errors, now costing as little as $1 per pair to source, cost may no longer be a substantial barrier to usage for many subjects.12 Eye health services tend to be focused on urban areas of high population density, yet many people live in rural areas. Distance to services may therefore be a barrier.13 The journey to access services may be particularly difficult for those with visual impairment (VI). Gender must also be considered in this context. Unaccompanied travel for long distances may present different barriers for men and women in different societies.14 Entrenched cultural and religious beliefs may also present barriers.15 Whether these beliefs involve religion, ideas of destiny, or societal attitudes toward sex and gender, disability, or ethnicity, they may limit service uptake.13,16,17 The perception that vision loss is an untreatable and irreversible consequence of aging may also need to be countered.10 People may be unaware that they even have an eye health problem. A lack of awareness of general eye health and the interventions available may limit uptake. Those needing treatment may not understand the time needed for the intervention, the costs involved, whether it will hurt or not, and the chances of achieving a successful outcome.13 Eye health education and the provision of information may be key to overcoming these barriers.18 Quality of services will influence future uptake. Adequate health infrastructure and the suitability/quality of staff training are important determinants of the influence of such experience/outcome-related barriers.19 Bullying, ridicule, and peer victimization potentially may also limit service uptake or reduce compliance, particularly with regard to children with eye health problems.20 Strategies to improve the compliance of spectacle wear may be needed.21 Understanding the barriers to a refractive service will be central to the ultimate success of the intervention.22 This study has been designed to gain an understanding of the barriers to accessing refractive services perceived by the general population in Mozambique.
Published: 2015

30. Improving eye health using a child-to-child approach in Bariadi, Tanzania

Author: Ving Fai Chan, Kovin Naidoo, Hasan Minto, and Eden Mashayo
Subjects: Refractive error, medicine.medical_specialty, Referral, genetic structures, health promotion, Child-to-Child, Tanzania, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Eye health, Medicine, 030212 general & internal medicine, Ocular disease, biology, Blindness, business.industry, Champion, biology.organism_classification, medicine.disease, eye diseases, Health promotion, cataract, lcsh:RE1-994, Family medicine, 030221 ophthalmology & optometry, Optometry, business
Abstract: Purpose: Vision Champions (VC) are children trained to perform simple eye health screening and share eye health messages among their community. Our objectives were to assess the ability of VC in identifying and referring children and the community with refractive error and obvious ocular disease and to assess the change in knowledge and practice of eye healthseeking behaviour of the community 3 months after the introduction of the Vision Champion Programme.Methods: We purposively sampled 600 households and interviewed 1051 participants in two phases with a close-ended questionnaire. The numbers of children screened, referred by the VC and those who attended the Vision Centre were recorded. The percentage of people who answered the questions correctly were compared between Phase 1 (P1) and Phase 2 (P2).Results: The VC shared their eye health messages with 6311 people, screened 7575 people’s vision and referred 2433 people for further care. The community were more aware that using eye ointment not prescribed by doctors (P1 = 58.96% vs. P2 = 72.75%) can lead to blindness. Participants were more aware that they should not administer eye drops in stock (P1 = 44.18% vs. P2 = 61.37%) or received from a friend or relative (P1 = 53.23% vs. P2 = 72.35%) if their eyes are red and painful.Conclusion: Children have the potential to effectively share eye health messages and conduct simple vision screening for their families and peers. Efforts are needed to sensitise the community to improve the referral or follow-up rate.
Published: 2017

31. Visual status and prevalence of eye disorders among school-age children in southern Nigeria

Author: Bernadine N. Ekpenyong, Onyeka Ezenwankwo, Emmanuel Ogar, Onyebuchi Ndukwe, Kovin Naidoo, E. E. Ekanem, and Kelechukwu Ahaiwe
Subjects: school-age, Pediatrics, medicine.medical_specialty, Refractive error, Visual acuity, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, eye health, medicine, refractive error, Retinoscopy, medicine.diagnostic_test, business.industry, eye disorders, 030206 dentistry, Odds ratio, medicine.disease, Confidence interval, Eye examination, lcsh:RE1-994, 030221 ophthalmology & optometry, Eye disorder, medicine.symptom, business
Abstract: Aim: This study assessed the types and prevalence of eye problems among school-age children in Cross River State (CRS), Nigeria.Method: The study design was a cross-sectional analytic survey of 2418 school children aged 6–17 years from seven public and three private schools in CRS, selected using the multistage random sampling technique. Ethical approval was obtained from the Ethical Committee, CRS Ministry of Health, Nigeria. The following tests were carried out on all children enrolled in the study: researcher-administered semi-structured questionnaires, LogMAR visual acuity measurements, external and internal eye examinations, non-cycloplegic auto-refractions, retinoscopy and subjective refractions. Quality assurance was carried out to validate the data collected, and data were analysed using SPSS and EPI info.Results: A total of 2418 school children were enumerated, and 2110 (87.3%) were examined; 1117 (52.9%) were girls, and 1250 (59.2%) were 6–11 years old, while 860 (40.8%) were 12–17 years old, and 77% attended public schools. The majority, 1895 (89.9%) of the children examined, had never had an eye examination. The prevalence of eye diseases among the school children was 32.1%, and the major causes were conjunctivitis 397 (18.8%; confidence interval [CI] 19.2–13.0), refractive error 243 (11.5%; CI 10.2–13.0), glaucoma suspects 52 (2.5%; CI 1.9–3.2), amblyopia 7 (0.3%; CI 0.0–0.7) and corneal opacity 4 (0.2%; CI 0.1–0.5). Analysis using chi-square tests and logistic regression shows a positive higher association of refractive error in private (16.7%) than public schools (9.9%) (crude odds ratio [COR] 1.8150; adjusted odds ratio [AOR] 1.9129, p < 0.001), higher socio-economic status of parents (COR 2.3402, AOR 1.9819, p < 0.001), older age group (COR 1.7258, AOR 1.8202, p < 0.001) and girls (13.1%) versus boys (9.8%) (COR 0.7200, AOR 0.7144, p < 0.001).Conclusion: Physical and eye health examination of children before school entry is strongly recommended. The application of 2 D lens for children who fail a standard visual acuity test should be routine during vision screening to ensure that significant refractive errors are not missed.
Published: 2017

32. Near vision correction and quality of life among textile factory workers in Durban

Author: Farai Chinanayi, Jyoti Naidoo, Ving Fai Chan, and Kovin Naidoo
Subjects: Refractive error, business.industry, Vision related Quality of Life, medicine.disease, African origin, textile factory workers, 03 medical and health sciences, Near vision, 0302 clinical medicine, lcsh:Ophthalmology, Quality of life, lcsh:RE1-994, Visual function, vision impairment, 030221 ophthalmology & optometry, medicine, Optometry, Factory, Presbyopia correction, refractive error, Normal vision, business, 030217 neurology & neurosurgery, Demography
Abstract: Background: Uncorrected near vision impairment affects the performance of near vision tasks and activities for an estimated 410 million people worldwide. Once normal vision becomes blurred or impaired, the ordinary and simple daily routines of individuals become difficult; often resulting in frustration and irritation, which is consequently reflected in their quality of life. Aim: We investigated the change of vision-related quality of life (VRQoL) following near correction among textile factory workers in South Africa. Methods: Presbyopic subjects who were 40 years and older with no other eye conditions were provided near spectacle correction. We interviewed subjects to ascertain their VRQoL scores using the National Eye Institute Visual Function Questionnaire, pre-treatment and 6 months after the provision of near corrections. Setting: The study was conducted among the textile factory workers in KwaZulu-Natal, South Africa. Results: A total of 423 textile factory workers were followed up from seven textile factories in Durban. The overall increase in VRQoL scores of 21.9 (95% CI 16.7–27) was significant ( p < 0.01). This translates to a 36.5% (95% CI 30.6–42.4) change in VRQoL. The increase was highest among participants of African origin 25.1 (95% CI 21.14–29.1), males 18.8 (95% CI 12.6–27.2), among those who had completed primary school 35.8 (95% CI 21.7–49.9) and among participants with other responsibilities (ironing and quality assurance) 21.9 (95% CI 16.7–27). Conclusion: Correcting near vision impairment improved the VRQoL scores of textile factory workers. The results showed that VRQoL scores increased significantly across levels of education and categories of responsibility
Published: 2017

33. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis

Author: Rupert R A Bourne, Seth R Flaxman, Tasanee Braithwaite, Maria V Cicinelli, Aditi Das, Jost B Jonas, Jill Keeffe, John H Kempen, Janet Leasher, Hans Limburg, Kovin Naidoo, Konrad Pesudovs, Serge Resnikoff, Alex Silvester, Gretchen A Stevens, Nina Tahhan, Tien Y Wong, Hugh R Taylor, Rupert Bourne, Peter Ackland, Aries Arditi, Yaniv Barkana, Banu Bozkurt, TASANEE BRAITHWAITE, Alain Bron, Donald Budenz, Feng Cai, Robert Casson, Usha Chakravarthy, Jaewan Choi, Maria Vittoria Cicinelli, Nathan Congdon, Reza Dana, Rakhi Dandona, Lalit Dandona, Iva Dekaris, Monte Del Monte, Jenny Deva, Laura Dreer, Leon Ellwein, Marcela Frazier, Kevin Frick, David Friedman, Joao Furtado, Hua Gao, Gus Gazzard, Ronnie George, Stephen Gichuhi, Victor Gonzalez, Billy Hammond, Mary Elizabeth Hartnett, Minguang He, James Hejtmancik, Flavio Hirai, John Huang, April Ingram, Jonathan Javitt, Jost Jonas, Charlotte Joslin, John Kempen, Moncef Khairallah, Rohit Khanna, Judy Kim, George Lambrou, Van Charles Lansingh, Paolo Lanzetta, Jennifer Lim, Hans LIMBURG, Kaweh Mansouri, Anu Mathew, Alan Morse, Beatriz Munoz, David Musch, Vinay Nangia, MARIA PALAIOU, Maurizio Battaglia Parodi, Fernando Yaacov Pena, Tunde Peto, Harry Quigley, Murugesan Raju, Pradeep Ramulu, Alan Robin, Luca Rossetti, Jinan Saaddine, MYA SANDAR, Janet Serle, Tueng Shen, Rajesh Shetty, Pamela Sieving, Juan Carlos Silva, Rita S Sitorus, Dwight Stambolian, Gretchen Stevens, Hugh Taylor, Jaime Tejedor, James Tielsch, Miltiadis Tsilimbaris, Jan van Meurs, Rohit Varma, Gianni Virgili, Jimmy Volmink, Ya Xing Wang, Ning-Li Wang, Sheila West, Peter Wiedemann, Tien Wong, Richard Wormald, Yingfeng Zheng, Bourne, Rupert R.A., Bron, Alain, Selçuk Üniversitesi, Anglia Ruskin University (ARU), University of Oxford [Oxford], San Raffaele Scientific Institute, Health Education Yorkshire and the Humber, Partenaires INRAE, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], University Hospital of Heidelberg, L.V. Prasad Eye Institute, Massachusetts Eye and Ear Infirmary, Medical Center, Nova Southeastern University (NSU), Health Information Services, University of KwaZulu-Natal (UKZN), La Vision, Flinders University, University of New South Wales [Sydney] (UNSW), Royal Liverpool University Hospital, World Health Organization, National University of Singapore (NUS), University of Melbourne, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Centre National de la Recherche Scientifique (CNRS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Université Bourgogne Franche-Comté [COMUE] (UBFC), Bourne, Rra, Flaxman, Sr, Braithwaite, T, Cicinelli, Mv, Das, A, Jonas, Jb, Keeffe, J, Kempen, Jh, Leasher, J, Limburg, H, Naidoo, K, Pesudovs, K, Resnikoff, S, Silvester, A, Stevens, Ga, Tahhan, N, Wong, Ty, Taylor, Hr, on behalf of the Vision Loss Expert, Group, and Battaglia Parodi, M
Subjects: AFRICA, Population ageing, medicine.medical_specialty, Visual acuity, [SDV]Life Sciences [q-bio], Population, Visual impairment, Vision Disorders, Visual Acuity, EYE, Blindness, Global Health, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Prevalence, Journal Article, Global health, Humans, Medicine, VISUAL IMPAIRMENT, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, 030212 general & internal medicine, education, Public, Environmental & Occupational Health, education.field_of_study, Science & Technology, business.industry, MORTALITY, Public health, lcsh:Public aspects of medicine, Medicine (all), COST, lcsh:RA1-1270, General Medicine, Presbyopia, medicine.disease, Vision Loss Expert Group, 3. Good health, Meta-analysis, 030221 ophthalmology & optometry, HEALTH, medicine.symptom, business, Life Sciences & Biomedicine, Demography
Abstract: PubMed: 28779882, Background Global and regional prevalence estimates for blindness and vision impairment are important for the development of public health policies. We aimed to provide global estimates, trends, and projections of global blindness and vision impairment. Methods We did a systematic review and meta-analysis of population-based datasets relevant to global vision impairment and blindness that were published between 1980 and 2015. We fitted hierarchical models to estimate the prevalence (by age, country, and sex), in 2015, of mild visual impairment (presenting visual acuity worse than 6/12 to 6/18 inclusive), moderate to severe visual impairment (presenting visual acuity worse than 6/18 to 3/60 inclusive), blindness (presenting visual acuity worse than 3/60), and functional presbyopia (defined as presenting near vision worse than N6 or N8 at 40 cm when best-corrected distance visual acuity was better than 6/12). Findings Globally, of the 7·33 billion people alive in 2015, an estimated 36·0 million (80% uncertainty interval [UI] 12·9–65·4) were blind (crude prevalence 0·48%; 80% UI 0·17–0·87; 56% female), 216·6 million (80% UI 98·5–359·1) people had moderate to severe visual impairment (2·95%, 80% UI 1·34–4·89; 55% female), and 188·5 million (80% UI 64·5–350·2) had mild visual impairment (2·57%, 80% UI 0·88–4·77; 54% female). Functional presbyopia affected an estimated 1094·7 million (80% UI 581·1–1686·5) people aged 35 years and older, with 666·7 million (80% UI 364·9–997·6) being aged 50 years or older. The estimated number of blind people increased by 17·6%, from 30·6 million (80% UI 9·9–57·3) in 1990 to 36·0 million (80% UI 12·9–65·4) in 2015. This change was attributable to three factors, namely an increase because of population growth (38·4%), population ageing after accounting for population growth (34·6%), and reduction in age-specific prevalence (?36·7%). The number of people with moderate and severe visual impairment also increased, from 159·9 million (80% UI 68·3–270·0) in 1990 to 216·6 million (80% UI 98·5–359·1) in 2015. Interpretation There is an ongoing reduction in the age-standardised prevalence of blindness and visual impairment, yet the growth and ageing of the world's population is causing a substantial increase in number of people affected. These observations, plus a very large contribution from uncorrected presbyopia, highlight the need to scale up vision impairment alleviation efforts at all levels. Funding Brien Holden Vision Institute. © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Published: 2017

34. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis

Author: Seth R Flaxman, Rupert R A Bourne, Serge Resnikoff, Peter Ackland, Tasanee Braithwaite, Maria V Cicinelli, Aditi Das, Jost B Jonas, Jill Keeffe, John H Kempen, Janet Leasher, Hans Limburg, Kovin Naidoo, Konrad Pesudovs, Alex Silvester, Gretchen A Stevens, Nina Tahhan, Tien Y Wong, Hugh R Taylor, Rupert Bourne, Aries Arditi, Yaniv Barkana, Banu Bozkurt, Alain Bron, Donald Budenz, Feng Cai, Robert Casson, Usha Chakravarthy, Jaewan Choi, Maria Vittoria Cicinelli, Nathan Congdon, Reza Dana, Rakhi Dandona, Lalit Dandona, Iva Dekaris, Monte Del Monte, Jenny deva, Laura Dreer, Leon Ellwein, Marcela Frazier, Kevin Frick, David Friedman, Joao Furtado, Hua Gao, Gus Gazzard, Ronnie George, Stephen Gichuhi, Victor Gonzalez, Billy Hammond, Mary Elizabeth Hartnett, Minguang He, James Hejtmancik, Flavio Hirai, John Huang, April Ingram, Jonathan Javitt, Jost Jonas, Charlotte Joslin, John Kempen, Moncef Khairallah, Rohit Khanna, Judy Kim, George Lambrou, Van Charles Lansingh, Paolo Lanzetta, Jennifer Lim, Hans LIMBURG, Kaweh Mansouri, Anu Mathew, Alan Morse, Beatriz Munoz, David Musch, Vinay Nangia, Maria Palaiou, Maurizio Battaglia Parodi, Fernando Yaacov Pena, Tunde Peto, Harry Quigley, Murugesan Raju, Pradeep Ramulu, Zane Rankin, Dana Reza, Alan Robin, Luca Rossetti, Jinan Saaddine, Mya Sandar, Janet Serle, Tueng Shen, Rajesh Shetty, Pamela Sieving, Juan Carlos Silva, Rita S. Sitorus, Dwight Stambolian, Gretchen Stevens, Hugh Taylor, Jaime Tejedor, James Tielsch, Miltiadis Tsilimbaris, Jan van Meurs, Rohit Varma, Gianni Virgili, Ya Xing Wang, Ning-Li Wang, Sheila West, Peter Wiedemann, Tien Wong, Richard Wormald, Yingfeng Zheng, Flaxman, Seth R, Bourne, Rupert R A, Resnikoff, Serge, Ackland, Peter, Braithwaite, Tasanee, Cicinelli, Maria V, Das, Aditi, Jonas, Jost B, Keeffe, Jill, Kempen, John H, Leasher, Janet, Limburg, Han, Naidoo, Kovin, Pesudovs, Konrad, Silvester, Alex, Stevens, Gretchen A, Tahhan, Nina, Wong, Tien Y, Taylor, Hugh R, on behalf of the Vision Loss Expert Group of the Global Burden of Disease, Study, Battaglia parodi, M, Imperial College London, Anglia Ruskin University (ARU), La Vision, International Agency for the Prevention of Blindness, Partenaires INRAE, Moorfields Eye Hospital NHS Foundation Trust, San Raffaele Scientific Institute, York Hospital, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], L.V. Prasad Eye Institute, Harvard Medical School [Boston] (HMS), Discovery Eye Center, Medical Center, Nova Southeastern University (NSU), Health Information Services, Flinders University, Research Institute, World Health Organization, National University of Singapore (NUS), University of Melbourne, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Centre National de la Recherche Scientifique (CNRS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Selçuk Üniversitesi, Bourne, Rupert R. A., and Bron, Alain
Subjects: 0301 basic medicine, Refractive error, Aging, Visual acuity, genetic structures, [SDV]Life Sciences [q-bio], Visual Acuity, Glaucoma, Blindness, Global Health, EYE, Macular Degeneration, 0302 clinical medicine, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Global health, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), ComputingMilieux_MISCELLANEOUS, Public, Environmental & Occupational Health, education.field_of_study, lcsh:Public aspects of medicine, Medicine (all), General Medicine, Diabetic retinopathy, 3. Good health, PREVALENCE, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, medicine.symptom, BURDEN, Life Sciences & Biomedicine, Visual impairment, Population, Cataract, 03 medical and health sciences, medicine, Journal Article, Humans, VISUAL IMPAIRMENT, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, education, Diabetic Retinopathy, Science & Technology, business.industry, lcsh:RA1-1270, Macular degeneration, Vision Loss Expert Group of the Global Burden of Disease Study, medicine.disease, eye diseases, 030104 developmental biology, PROJECTIONS, 030221 ophthalmology & optometry, business, Demography
Abstract: PubMed: 29032195, Background Contemporary data for causes of vision impairment and blindness form an important basis of recommendations in public health policies. Refreshment of the Global Vision Database with recently published data sources permitted modelling of cause of vision loss data from 1990 to 2015, further disaggregation by cause, and forecasts to 2020. Methods In this systematic review and meta-analysis, we analysed published and unpublished population-based data for the causes of vision impairment and blindness from 1980 to 2014. We identified population-based studies published before July 8, 2014, by searching online databases with no language restrictions (MEDLINE from Jan 1, 1946, and Embase from Jan 1, 1974, and the WHO Library Database). We fitted a series of regression models to estimate the proportion of moderate or severe vision impairment (defined as presenting visual acuity of 14% of blindness) as causes in the high-income subregions. Blindness and vision impairment at all ages in 2015 due to diabetic retinopathy (odds ratio 2·52 [1·48–3·73]) and cataract (1·21 [1·17–1·25]) were more common among women than among men, whereas blindness and vision impairment due to glaucoma (0·71 [0·57–0·86]) and corneal opacity (0·54 [0·43–0·66]) were more common among men than among women, with no sex difference related to age-related macular degeneration (0·91 [0·70–1·14]). Interpretation The number of people affected by the common causes of vision loss has increased substantially as the population increases and ages. Preventable vision loss due to cataract (reversible with surgery) and refractive error (reversible with spectacle correction) continue to cause most cases of blindness and moderate or severe vision impairment in adults aged 50 years and older. A large scale-up of eye care provision to cope with the increasing numbers is needed to address avoidable vision loss. Funding Brien Holden Vision Institute. © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Published: 2017

35. Comparison of Cataract Surgery Techniques: Safety, Efficacy, and Cost-Effectiveness

Author: Jyoti Jaggernath, Vadi Moodley, Parikshit Gogate, and Kovin Naidoo
Subjects: Visual acuity, genetic structures, Cost effectiveness, Cost-Benefit Analysis, medicine.medical_treatment, Visual Acuity, Intraocular lens, Cataract Extraction, Refraction, Ocular, 03 medical and health sciences, 0302 clinical medicine, Lens Implantation, Intraocular, Cataracts, medicine, Humans, 030212 general & internal medicine, Phacoemulsification, business.industry, Mesh term, Treatment options, Health Care Costs, General Medicine, Middle Aged, Cataract surgery, medicine.disease, eye diseases, Ophthalmology, Treatment Outcome, 030221 ophthalmology & optometry, Optometry, sense organs, medicine.symptom, business
Abstract: To compare the safety, efficacy, and cost-effectiveness of manual sutureless small-incision cataract surgery (SICS) and phacoemulsification (Phaco) as treatment options for cataract surgery with focus on intumescent, mature, and hypermature lenses (white cataracts).A systematic search of research articles was conducted to develop an internal database for the investigators' appraisal. Literature searches were conducted by using key words and MeSH terms including cataracts, phacoemulsification, small-incision cataract incision, visual acuity, costs, training, time, and barriers to cataract surgery. The final synthesis included 42 manuscripts.All studies show that both Phaco and SICS are safe and effective techniques to rehabilitate cataract patients, but Phaco is costlier, with its preoperative and postoperative medicines, anesthetic agents, viscoelastic materials, disposables, instrumentation, and intraocular lens (IOLs), and had a steeper learning curve. Small-incision cataract surgery, in comparison, has been shown to be faster and more cost-effective. It is useful in intumescent white, black, brown, and lens-induced glaucoma cataracts and could incorporate recent trends like topical and sub-Tenon anesthesia and temporal incisions. Both give equal best-corrected visual acuity but unaided vision has been shown to be slightly better in Phaco due to lesser astigmatism.The literature points to SICS being more useful for intumescent and hard cataracts and is the preferred technique for less-resourced settings. Small-incision cataract surgery is comparable to Phaco in almost all aspects except postoperative astigmatism.
Published: 2014

36. Age-related Prevalence and Met Need for Correctable and Uncorrectable Near Vision Impairment in a Multi-country Study

Author: Mingguang He, Amza Abdou, Ivo Kocur, Jialiang Zhao, Yuddha Dhoj Sapkota, Nathan Congdon, Rohit Varma, Ravilla D. Thulasiraj, Leon B. Ellwein, and Kovin Naidoo
Subjects: Adult, Male, Rural Population, Aging, Asia, Visual acuity, Urban Population, Population, Visual Acuity, Logistic regression, Article, Cohort Studies, Near vision, Age Distribution, Quality of life, Prevalence, Humans, Medicine, Prospective Studies, Sex Distribution, Prospective cohort study, education, Aged, Aged, 80 and over, Health Services Needs and Demand, Vision, Binocular, education.field_of_study, business.industry, Middle Aged, Refractive Errors, United States, Ophthalmology, Eyeglasses, Africa, Cohort, Educational Status, Optometry, Female, medicine.symptom, business, Visually Impaired Persons, Demography, Cohort study
Abstract: Purpose To estimate the prevalence, potential determinants, and proportion of met need for near vision impairment (NVI) correctable with refraction approximately 2 years after initial examination of a multi-country cohort. Design Population-based, prospective cohort study. Participants People aged ≥35 years examined at baseline in semi-rural (Shunyi) and urban (Guangzhou) sites in China; rural sites in Nepal (Kaski), India (Madurai), and Niger (Dosso); a semi-urban site (Durban) in South Africa; and an urban site (Los Angeles) in the United States. Methods Near visual acuity (NVA) with and without current near correction was measured at 40 cm using a logarithm of the minimum angle of resolution near vision tumbling E chart. Participants with uncorrected binocular NVA ≤20/40 were tested with plus sphere lenses to obtain best-corrected binocular NVA. Main Outcome Measures Prevalence of total NVI (defined as uncorrected NVA ≤20/40) and NVI correctable and uncorrectable to >20/40, and current spectacle wearing among those with bilateral NVA ≤20/63 improving to >20/40 with near correction (met need). Results Among 13 671 baseline participants, 10 533 (77.2%) attended the follow-up examination. The prevalence of correctable NVI increased with age from 35 to 50–60 years and then decreased at all sites. Multiple logistic regression modeling suggested that correctable NVI was not associated with gender at any site, whereas more educated persons aged >54 years were associated with a higher prevalence of correctable NVI in Nepal and India. Although near vision spectacles were provided free at baseline, wear among those who could benefit was Conclusions Prevalence of correctable NVI is greatest among persons of working age, and rates of correction are low in many settings, suggesting that strategies targeting the workplace may be needed.
Published: 2014

37. Refractive Error and Visual Impairment in Private School Children in Ghana

Author: Angela Ofeibea Amedo, Ben D. Kumah, Mohammed Abdul-Kabir, Abdul-Sadik Ahmed, Anne Effiom Ebri, Samual Aikins, Seth Lartey, Amos K. Aikins, Nana Ya Koomson, and Kovin Naidoo
Subjects: Male, medicine.medical_specialty, Refractive error, Visual acuity, Adolescent, genetic structures, Private school, Visual impairment, Visual Acuity, Psychological intervention, Vision, Low, Fundus (eye), Blindness, Ghana, Ophthalmology, Prevalence, medicine, Humans, Child, Retinoscopy, Schools, medicine.diagnostic_test, business.industry, Cycloplegia, Refractive Errors, medicine.disease, eye diseases, Optometry, Female, Private Sector, medicine.symptom, business, Visually Impaired Persons
Abstract: Purpose. To assess the prevalence of refractive error and visual impairment in private school children in Ghana. Methods. A random selection of geographically defined classes in clusters was used to identify a sample of school children aged 12 to 15 years in the Ashanti Region. Children in 60 clusters were enumerated and examined in classrooms. The examination included visual acuity, retinoscopy, autorefraction under cycloplegia, and examination of anterior segment, media, and fundus. For quality assurance, a random sample of children with reduced and normal vision were selected and re-examined independently. Results. A total of 2454 children attending 53 private schools were enumerated, and of these, 2435 (99.2%) were examined. Prevalence of uncorrected, presenting, and best visual acuity of 20/40 or worse in the better eye was 3.7, 3.5, and 0.4%, respectively. Refractive error was the cause of reduced vision in 71.7% of 152 eyes, amblyopia in 9.9%, retinal disorders in 5.9%, and corneal opacity in 4.6%. Exterior and anterior segment abnormalities occurred in 43 (1.8%) children. Myopia (at least j0.50 D) in one or both eyes was present in 3.2% of children when measured with retinoscopy and in 3.4% measured with autorefraction. Myopia was not significantly associated with gender (P = 0.82). Hyperopia (+2.00 D or more) in at least one eye was present in 0.3% of children with retinoscopy and autorefraction. Conclusions. The prevalence of reduced vision in Ghanaian private school children due to uncorrected refractive error was low. However, the prevalence of amblyopia, retinal disorders, and corneal opacities indicate the need for early interventions. (Optom Vis Sci 2013;90:1456Y1461)
Published: 2013

38. Prevalence of Refractive Error and Spectacle Coverage in Zoba Ma’ekel Eritrea: A Rapid Assessment of Refractive Error

Author: Goitom Mebrahtu, Ving Fai Chan, Mary Wepo, Prasidh Ramson, and Kovin Naidoo
Subjects: Adult, Male, Refractive error, Adolescent, Epidemiology, Cross-sectional study, Visual Acuity, Eritrea, Health Services Accessibility, Young Adult, Prevalence, Cluster Analysis, Humans, Medicine, Blindness prevention, Vision, Binocular, business.industry, Presbyopia, Middle Aged, Refractive Errors, medicine.disease, Confidence interval, Rapid assessment, Ophthalmology, Exact test, Cross-Sectional Studies, Eyeglasses, Optometry, Female, business, Demography
Abstract: To determine the prevalence of refractive error and spectacle coverage in Zoba Ma'ekel, Eritrea in order to assist in planning for refractive services and blindness prevention strategies.A community-based cross-sectional study using multistage cluster sampling was conducted. A total of 3200 participants aged 15-50 years were enumerated and examined using the Rapid Assessment of Refractive Error (RARE) protocol.The response rate was 99.1%. The prevalence of refractive error was 6.4% (95% confidence interval [CI], 5.6-7.2%). Spectacle coverage for refractive error was 22.2% (95% CI 16.7-28.5%). It was higher among males than females (Fisher's exact test, p = 0.028), and highest in those who had completed secondary school (48.6%, 95% CI 31.9-65.6%) and those who resided in Asmara (Fisher's exact test, p 0.002). The prevalence of presbyopia was 32.9% (95% CI 30.3-35.7%) with 94.9% correctable. Spectacle use for presbyopia was 9.9% (95% CI 7.2-13.4%), which was lowest in those with no formal schooling but highest in those who had completed secondary school (χ(2) test, p 0.001) and those persons who resided in Asmara (Fisher's exact test, p 0.001). Respondents expressed different barriers to uptake of services. A total of 128 subjects were aware of the problem but did not feel the need for consultation while 83 subjects stated they could not afford the cost of examination and spectacles.The study provides helpful findings to assist with the development of appropriate refractive service planning in Zoba Ma'ekel. Uncorrected refractive error is of public health importance and prompt measures are needed to address the problem.
Published: 2013

39. The development of a public optometry system in Mozambique: a Cost Benefit Analysis

Author: Luigi Bilotto, Geoffrey Thomas Harris, James Loughman, Stephen C. Thompson, Kovin Naidoo, Jorge Ferrao, Dr. James Loughman, Prof. Kovin Naidoo, Prof. Geoff Harris, and Irish Aid/DIT
Subjects: Cost-Benefit Analysis, Blindness, Human capital, Net present value, Uncorrected refractive error, Cost benefit analysis, Medicine and Health Sciences, Humans, Medicine, Higher education, Program Development, Human resources, Productivity, Mozambique, Health economics, Cost–benefit analysis, Present value, business.industry, Health Policy, Eye health, Public sector, Visual impairment, Economic Analysis, Human resource development, Optometry, VI, Public Health, business, Research Article
Abstract: Background: The economic burden of uncorrected refractive error (URE) is thought to be high in Mozambique, largely as a consequence of the lack of resources and systems to tackle this largely avoidable problem. The Mozambique Eyecare Project (MEP) has established the first optometry training and human resource deployment initiative to address the burden of URE in Lusophone Africa. The nature of the MEP programme provides the opportunity to determine, using Cost Benefit Analysis (CBA), whether investing in the establishment and delivery of a comprehensive system for optometry human resource development and public sector deployment is economically justifiable for Lusophone Africa. Methods: A CBA methodology was applied across the period 2009–2049. Costs associated with establishing and operating a school of optometry, and a programme to address uncorrected refractive error, were included. Benefits were calculated using a human capital approach to valuing sight. Disability weightings from the Global Burden of Disease study were applied. Costs were subtracted from benefits to provide the net societal benefit, which was discounted to provide the net present value using a 3% discount rate. Results: Using the most recently published disability weightings, the potential exists, through the correction of URE in 24.3 million potentially economically productive persons, to achieve a net present value societal benefit of up to $1.1 billion by 2049, at a Benefit-Cost ratio of 14:1. When CBA assumptions are varied as part of the sensitivity analysis, the results suggest the societal benefit could lie in the range of $649 million to $9.6 billion by 2049. Conclusion: This study demonstrates that a programme designed to address the burden of refractive error in Mozambique is economically justifiable in terms of the increased productivity that would result due to its implementation.
Published: 2014

40. Prevalence of visual impairment and refractive error in school-aged children in South Darfur State of Sudan

Author: Saif Hassan Alrasheed, Peter C. Clarke-Farr, and Kovin Naidoo
Subjects: Pediatrics, medicine.medical_specialty, education.field_of_study, Refractive error, Visual acuity, medicine.diagnostic_test, business.industry, Population, Visual impairment, Cycloplegia, medicine.disease, Confidence interval, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, lcsh:RE1-994, Ophthalmology, 030221 ophthalmology & optometry, medicine, medicine.symptom, education, business, 030217 neurology & neurosurgery, Retinoscopy, Childhood age
Abstract: Background: Global estimates suggest there are almost 19 million visually impaired children worldwide, the major cause being uncorrected refractive error (RE). Aim: To assess the prevalence of visual impairment (VI) and RE among Sudanese school-aged children. Setting: Eight randomly selected primary schools from 21 districts in South Darfur State of Sudan were involved. Methods: A school-based cross-sectional study of RE and VI in primary schoolchildren from grades 1 to 8 (children aged 6–15 years) was investigated. A Refractive Error Study in Children (RESC) protocol was implemented to determine the prevalence of RE and VI in these schoolaged children. Participants were enrolled through stratified multistage cluster sampling of four all-male and four all-female primary schools from South Darfur State of Sudan. Examination procedures followed the RESC protocol, which included visual acuity (VA) measurements, binocular vision assessments, retinoscopy and autorefraction under cycloplegia, as well as examination of the external eye, anterior-segment, media and fundus. Results: A total of 1775 children were invited to participate in the study and 1678 were examined resulting in a participation rate of 94.5%. The findings indicated that the prevalence of uncorrected, presenting and best-corrected VA of 6/12 or worse was 6.4% (95% confidence interval [CI], 4.9–7.9), 4.4% (95% CI, 2.9–5.9) and 1.2% (95% CI, 0.3–2.7) respectively. RE was the cause of VI in 57% of participants, retinal disorders in 13.1%, amblyopia in 5.6%, corneal opacity in 0.9%, cataract in 3.7%, with the causes of reduced vision undetermined in 10.3% and various other causes contributed 9.3%. External and anterior-segment abnormalities were observed in 10.2% of children. This was mainly allergic conjunctivitis (5.3%) followed by bacterial and viral conjunctivitis (4.2%). The prevalence of myopia (≥|-0.50 D|) in one or both eyes was 6.8% (95% CI, 5.3–8.3), hypermetropia (≥ 2 D) was noted in 1.9% (95% CI, 0.4–3.4) and astigmatism (≥|-0.75 D|) prevailed in 2.5% (95% CI, 1.0–4.0). Prevalence of VI among schoolaged children were associated with the children’s age and grade levels ( p = 0.00) but was not correlated with gender ( p = 0.224). Prevalence of RE among school-aged children was significantly correlated with age and grade levels ( p = 0.00). No significant correlation was found between gender and prevalence of RE ( p = 0.833). The prevalence of VI because of myopia was associated with increasing grade levels and also the childhood age ( p = 0.023), but there was no significant difference in the prevalence of VI because of myopia between male and female children. Conclusion: Uncorrected RE was a major cause of VI among children in the South Darfur State. There is thus a critical need for developing a comprehensive child eye care plan focusing on the reduction of uncorrected RE through collaboration between key stakeholders and government.
Published: 2016

41. Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Author: Carl Abelardo T. Antonio, Rob E. Dorrington, Belinda K Lloyd, Elisabete Weiderpass, Kovin Naidoo, Leslie T. Cooper, Sandra Nolte, Eduardo A. Undurraga, Mohammad A. AlMazroa, R. Kumar, Xiaofeng Liang, Amanda J. Mason-Jones, Kazem Rahimi, Sanjay Basu, Vasiliy Victorovich Vlassov, André Karch, Dipan Bose, Vivekanand Jha, Adansi A. Amankwaa, Kaire Innos, Ione Jayce Ceola Schneider, Itamar S. Santos, Anwar Rafay, Bolajoko O. Olusanya, Tommi Vasankari, Nana Kwaku Mainoo, Saleem M Rana, Wagner Marcenes, Fortuné Gbètoho Gankpé, Rana J. Asghar, Lela Sturua, Nicholas J K Breitborde, Corine Karema, Charles R. Newton, Uche S. Uchendu, Jongmin Lee, Inga Dora Sigfusdottir, Harish Chander Gugnani, Kaushalendra Kumar, Reza Assadi, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Timothy M. Wolock, Ronny Westerman, Samath D Dharmaratne, Katya Anne Shackelford, Anders Larsson, Jeffrey A. Towbin, Jixiang Ma, Lynne Gaffikin, Konstantin Kazanjan, Mohammad Ali Sahraian, Mohammad H. Forouzanfar, Yichong Li, Felix Sayinzoga, Daniel Dicker, Philimon Gona, Maurice Giroud, Maysaa El Sayed Zaki, Shiwei Liu, Lorenzo Monasta, Chantal Huynh, Abdullatif Husseini, Ted R. Miller, Solomon Meseret Woldeyohannes, D. Alex Quistberg, Justin Beardsley, Majed Asad, Uʇur Dilmen, Alaa Badawi, Hsien-Ho Lin, Haidong Kan, Vinod K. Paul, Mitsuru Mukaigawara, James Leigh, Xiao Nong Zou, Sajjad Ur Rahman, Valentina Arsić Arsenijević, Gokalp Kadri Yentur, Man Mohan Mehndiratta, Murugesan Raju, Stephanie J. London, Kingsley N. Ukwaja, Young-Ho Khang, Knud Juel, Mohsen Naghavi, Rasmus Havmoeller, Gelin Xu, Semaw Ferede Abera, Devina Nand, Norito Kawakami, Neil Pearce, Elisabeth Barboza França, Ferrán Catalá-López, Ketevan Goginashvili, Vegard Skirbekk, Neeraj Bedi, Barthelemy Kuate Defo, Andrew H. Kemp, H. Dean Hosgood, Vafa Rahimi-Movaghar, Konrad Pesudovs, Linhong Wang, Xiao Rong Wang, Alan D. Lopez, Ademola Lukman Adelekan, Joshua A. Salomon, Walter Mendoza, Aref A. Bin Abdulhak, Ivy Shiue, G Anil Kumar, Yuichiro Yano, Luke D. Knibbs, Jung-Chen Chang, Yousef Khader, Caitlyn Steiner, Selen Begüm Uzun, Luciano A. Sposato, Gabrielle deVeber, Raghib Ali, Andre Pascal Kengne, Chakib Nejjari, Rafael Alfonso-Cristancho, Tania Georgina Sánchez Pimienta, Roberto Tchio Talongwa, Hilda L Harb, Ali H. Mokdad, Edward J Mills, Angel J Paternina Caicedo, Xiaohong Li, Luke Nyakarahuka, Diego De Leo, Rashmi Gupta, Robert G. Weintraub, Tim Driscoll, Sun Ha Jee, Carolina Maria Teixeira, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hwashin Hyun Shin, Palwasha Anwari, Daniel Pope, Hassan Amini, Jae-Hyun Park, Saad B. Omer, Eric L. Ding, Narayanaswamy Venketasubramanian, Juan Liang, Tara Templin, Arindam Basu, Farshad Farzadfar, Yang Yang, Xuan Che, Scott Weichenthal, Jeyaraj D Pandian, David L. Tirschwell, Adrian Davis, Hilton Lam, Feng Tan, Stephen S Lim, Soewarta Kosen, Atsushi Goto, Ratilal Lalloo, Yanping Wang, Glen Mola, Paulo A. Lotufo, Dhruv S. Kazi, Jose C. Adsuar, Amany H Refaat, Ruben Castro, Gene F. Kwan, Johanna M. Geleijnse, Emerito Jose A. Faraon, Costas A. Christophi, Theo Vos, Sara Sheikhbahaei, Guilherme V. Polanczyk, Jed D. Blore, Azmeraw T. Amare, Kyle R. Heuton, Walid Ammar, Louisa Degenhardt, Andrew Vallely, Guohong Jiang, Ricky Leung, Jasvinder A. Singh, Zewdie Aderaw Alemu, A Artaman, Steven E. Lipshultz, Carlos A Castañeda-Orjuela, Seyed-Mohammad Fereshtehnejad, Sadaf G. Sepanlou, Mark J. Nieuwenhuijsen, John Q. Wong, Manami Inoue, Coen H. Van Gool, James D. Wilkinson, Ejaz Ahmad Khan, Yoshihiro Kokubo, Manuela Mendonca Felicio, Farshad Pourmalek, Boris I. Pavlin, Karen Sliwa, Robert G. Nelson, Tom Achoki, Edmond K. Kabagambe, Orish Ebere Orisakwe, Christopher J L Murray, In-Hwan Oh, Uchechukwu K.A. Sampson, Ulrich O Mueller, Austin E Schumacher, Edson Serván-Mori, Berrak Bora Basara, Simon I. Hay, Anil Kaul, Foad Abd-Allah, Takayoshi Ohkubo, Kim Yun Jin, Abdullah Sulieman Terkawi, Mall Leinsalu, Sergei Petrovich Ermakov, Marek Majdan, Ileana B. Heredia Pi, Christina Papachristou, Scott B. Patten, Rajeev Gupta, Kalpana Balakrishnan, Mustafa Z. Younis, Kenji Shibuya, Graça Maria Ferreira De Lima, Andrea P. Silva, Maziar Moradi-Lakeh, Anand Dayama, Eiman Jahangir, Stefan Ma, Karen M. Tabb, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Mazin J. Al Kahbouri, Nadim E. Karam, Jun Zhu, Chandrashekhar T Sreeramareddy, Dinorah González-Castell, Diego Gonzalez-Medina, Aliya Naheed, Ryan M Barber, Salvador Villalpando, Yang Liu, Chanda Kulkarni, Vinay Nangia, Haidong Wang, Yongmei Li, Rosario Cárdenas, Randah R. Hamadeh, Suzanne Polinder, Van C. Lansingh, François Alla, Max Petzold, Bryan L. Sykes, Ubai Alsharif, Chuanhua Yu, Francesco Saverio Violante, Monika Sawhney, Ayse Abbasoglu Ozgoren, Graeme J. Hankey, Mouhanad Hammami, Iuri da Costa Leite, Dickens Akena, Rintaro Mori, Alanur Çavlin, Maia Kereselidze, Jonathan de la Cruz Monis, Deena Alasfoor, Taavi Lai, Eric Y. Tenkorang, Cyrus Cooper, Sudan Prasad Neupane, Dan Poenaru, Veena S. Kulkarni, Naohiro Yonemoto, Elizabeth Glaser, Sergey Soshnikov, Ziad A. Memish, Paul N. Jensen, Fabiola Mejía-Rodríguez, Ana C. Garcia, Rakhi Dandona, Emilie Agardh, Katherine B Gibney, Vasco Manuel Pedro Machado, Michelle L. Bell, David M. Pereira, Muluemebet Abera Wordofa, Samantha M. Colquhoun, Elena Alvarez, Stephen G. Waller, Ketevan Gambashidze, Eduardo Bernabé, Rafael Lozano, Damian G Hoy, Miltiadis K. Tsilimbaris, Hebe N. Gouda, Muhammad Imran Nisar, Zanfina Ademi, Andrew L. Thorne-Lyman, Denis Nash, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Donald H. Silberberg, Monica S. Vavilala, Lydia S. Atkins, Hans W. Hoek, Muluken Dessalegn, David C. Schwebel, Christopher C. Mapoma, Jost B. Jonas, Tolesa Bekele, Lalit Dandona, Borja del Pozo-Cruz, Sumeet S. Chugh, Johan Ärnlöv, Tariku Jibat Beyene, Melvin Barrientos Marzan, Ami R. Moore, Marie Ng, Maigeng Zhou, Samia Alhabib, Massimo Cirillo, Soraya Seedat, Paul S. F. Yip, Nima Hafezi-Nejad, Amelia Bertozzi-Villa, Kebede Deribe, John Nelson Opio, Peter J. Allen, Marina Shakh-Nazarova, Bach Xuan Tran, Arsène Kouablan Adou, Yingfeng Zheng, Julio Cesar Montañez Hernandez, Yong Zhao, Nelson Alvis-Guzman, Bulat Idrisov, Alireza Esteghamati, Seok Jun Yoon, Kathryn H. Jacobsen, Kassebaum, Nicholas J., Bertozzi-Villa, Amelia, Coggeshall, Megan S., Shackelford, Katya A., Steiner, Caitlyn, Heuton, Kyle R., Gonzalez-Medina, Diego, Barber, Ryan, Huynh, Chantal, Dicker, Daniel, Templin, Tara, Wolock, Timothy M., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw Ferede, Abubakar, Ibrahim, Achoki, Tom, Adelekan, Ademola, Ademi, Zanfina, Adou, Arsène Kouablan, Adsuar, José C., Agardh, Emilie E., Akena, Dicken, Alasfoor, Deena, Alemu, Zewdie Aderaw, Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Al Kahbouri, Mazin J., Alla, Françoi, Allen, Peter J., Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzmán, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Amini, Hassan, Ammar, Walid, Antonio, Carl A.T., Anwari, Palwasha, Ärnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Ali, Asad, Majed Masoud, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Badawi, Alaa, Balakrishnan, Kalpana, Basu, Arindam, Basu, Sanjay, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L., Bernabe, Eduardo, Beyene, Tariku J., Bhutta, Zulfiqar, Abdulhak, Aref Bin, Blore, Jed D., Basara, Berrak Bora, Bose, Dipan, Breitborde, Nichola, Cárdenas, Rosario, Castañeda-Orjuela, Carlos A., Castro, Ruben Estanislao, Catalá-López, Ferrán, Cavlin, Alanur, Chang, Jung-Chen, Che, Xuan, Christophi, Costas A., Chugh, Sumeet S., Cirillo, Massimo, Colquhoun, Samantha M., Cooper, Leslie Trumbull, Cooper, Cyru, Da Costa Leite, Iuri, Dandona, Lalit, Dandona, Rakhi, Davis, Adrian, Dayama, Anand, Degenhardt, Louisa, De Leo, Diego, Del Pozo-Cruz, Borja, Deribe, Kebede, Dessalegn, Muluken, Deveber, Gabrielle A., Dharmaratne, Samath D., Dilmen, Uʇur, Ding, Eric L., Dorrington, Rob E., Driscoll, Tim R., Ermakov, Sergei Petrovich, Esteghamati, Alireza, Faraon, Emerito Jose A., Farzadfar, Farshad, Felicio, Manuela Mendonca, Fereshtehnejad, Seyed-Mohammad, De Lima, Graça Maria Ferreira, Forouzanfar, Mohammad H., França, Elisabeth B., Gaffikin, Lynne, Gambashidze, Ketevan, Gankpé, Fortuné Gbètoho, Garcia, Ana C., Geleijnse, Johanna M., Gibney, Katherine B., Giroud, Maurice, Glaser, Elizabeth L., Goginashvili, Ketevan, Gona, Philimon, González-Castell, Dinorah, Goto, Atsushi, Gouda, Hebe N., Gugnani, Harish Chander, Gupta, Rahul, Gupta, Rajeev, Hafezi-Nejad, Nima, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J., Harb, Hilda L., Havmoeller, Rasmu, Hay, Simon I., Pi, Ileana B. Heredia, Hoek, Hans W., Hosgood, H Dean, Hoy, Damian G., Husseini, Abdullatif, Idrisov, Bulat T., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jahangir, Eiman, Jee, Sun Ha, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B., Juel, Knud, Kabagambe, Edmond Kato, Kan, Haidong, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre Pascal, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Knibbs, Luke, Kokubo, Yoshihiro, Kosen, Soewarta, Defo, Barthelemy Kuate, Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Kaushalendra, Kumar, Ravi B., Kwan, Gene, Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lansingh, Van C., Larsson, Ander, Lee, Jong-Tae, Leigh, Jame, Leinsalu, Mall, Leung, Ricky, Li, Xiaohong, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S., Lin, Hsien-Ho, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., London, Stephanie J., Lotufo, Paulo A., Ma, Jixiang, Ma, Stefan, Machado, Vasco Manuel Pedro, Mainoo, Nana Kwaku, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barriento, Mason-Jones, Amanda J., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mills, Edward J., Mokdad, Ali H., Mola, Glen Liddell, Monasta, Lorenzo, De La Cruz Monis, Jonathan, Hernandez, Julio Cesar Montañez, Moore, Ami R., Moradi-Lakeh, Maziar, Mori, Rintaro, Mueller, Ulrich O., Mukaigawara, Mitsuru, Naheed, Aliya, Naidoo, Kovin S., Nand, Devina, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Nelson, Robert G., Neupane, Sudan Prasad, Newton, Charles R., Ng, Marie, Nieuwenhuijsen, Mark J., Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F., Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O., Omer, Saad B., Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D., Papachristou, Christina, Park, Jae-Hyun, Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris Igor, Pearce, Neil, Pereira, David M., Pesudovs, Konrad, Petzold, Max, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, Dan, Pourmalek, Farshad, Qato, Dima, Quistberg, D. Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Raju, Murugesan, Rana, Saleem M., Refaat, Amany, Ronfani, Luca, Roy, Nobhojit, Pimienta, Tania Georgina Sánchez, Sahraian, Mohammad Ali, Salomon, Joshua A., Sampson, Uchechukwu, Santos, Itamar S., Sawhney, Monika, Sayinzoga, Felix, Schneider, Ione J.C., Schumacher, Austin, Schwebel, David C., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shakh-Nazarova, Marina, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Andrea P., Singh, Jasvinder A., Skirbekk, Vegard, Sliwa, Karen, Soshnikov, Sergey S., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stroumpoulis, Konstantino, Sturua, Lela, Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto Tchio, Tan, Feng, Teixeira, Carolina Maria, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thorne-Lyman, Andrew L., Tirschwell, David L., Towbin, Jeffrey A., Tran, Bach X., Tsilimbaris, Miltiadi, Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen Begüm, Vallely, Andrew J., Van Gool, Coen H., Vasankari, Tommi J., Vavilala, Monica S., Venketasubramanian, N., Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vos, Theo, Waller, Stephen, Wang, Haidong, Wang, Linhong, Wang, Xiao Rong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Westerman, Ronny, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wong, John Q., Wordofa, Muluemebet Abera, Xu, Gelin, Yang, Yang C., Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D., Naghavi, Mohsen, Murray, Christopher J.L., Lozano, Rafael, Kassebaum, Nj, Bertozzi-Villa, A, Coggeshall, M, Shackelford, Ka, Steiner, C, Heuton, Kr, Gonzalez-Medina, D, Barber, R, Huynh, C, Dicker, D, Templin, T, Wolock, Tm, Ozgoren, Aa, Abd-Allah, F, Abera, Sf, Achoki, T, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Agardh, Ee, Akena, D, Alasfoor, D, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Al Kahbouri, Mj, Alla, F, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzmán, N, Amankwaa, Aa, Amare, At, Amini, H, Ammar, W, Antonio, Ca, Anwari, P, Arnlöv, J, Arsenijevic, V, Artaman, A, Asad, Mm, Asghar, Rj, Assadi, R, Atkins, L, Badawi, A, Balakrishnan, K, Basu, A, Basu, S, Beardsley, J, Bedi, N, Bekele, T, Bell, Ml, Bernabe, E, Beyene, Tj, Bhutta, Z, Bin Abdulhak, A, Blore, J, Basara, Bb, Bose, D, Breitborde, N, Cárdenas, R, Castañeda-Orjuela, Ca, Castro, Re, Catalá-López, F, Cavlin, A, Chang, Jc, Che, X, Christophi, Ca, Chugh, S, Cirillo, M, Colquhoun, Sm, Cooper, Lt, Cooper, C, da Costa Leite, I, Dandona, L, Dandona, R, Davis, A, Dayama, A, Degenhardt, L, De Leo, D, Del Pozo-Cruz, B, Deribe, K, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Dilmen, U, Ding, El, Dorrington, Re, Driscoll, Tr, Ermakov, Sp, Esteghamati, A, Faraon, Ej, Farzadfar, F, Felicio, Mm, Fereshtehnejad, Sm, de Lima, Gm, Forouzanfar, Mh, França, Eb, Gaffikin, L, Gambashidze, K, Gankpé, Fg, Garcia, Ac, Geleijnse, Jm, Gibney, Kb, Giroud, M, Glaser, El, Goginashvili, K, Gona, P, González-Castell, D, Goto, A, Gouda, Hn, Gugnani, Hc, Gupta, R, Hafezi-Nejad, N, Hamadeh, Rr, Hammami, M, Hankey, Gj, Harb, Hl, Havmoeller, R, Hay, S, Pi, Ib, Hoek, Hw, Hosgood, Hd, Hoy, Dg, Husseini, A, Idrisov, Bt, Innos, K, Inoue, M, Jacobsen, Kh, Jahangir, E, Jee, Sh, Jensen, Pn, Jha, V, Jiang, G, Juel, K, Kabagambe, Ek, Kan, H, Karam, Ne, Karch, A, Karema, Ck, Kaul, A, Kawakami, N, Kazanjan, K, Kazi, D, Kemp, Ag, Kengne, Ap, Kereselidze, M, Khader, Y, Khalifa, Se, Khan, Ea, Khang, Yh, Knibbs, L, Kokubo, Y, Kosen, S, Defo, Bk, Kulkarni, C, Kulkarni, V, Kumar, Ga, Kumar, K, Kumar, Rb, Kwan, G, Lai, T, Lalloo, R, Lam, H, Lansingh, Vc, Larsson, A, Lee, Jt, Leigh, J, Leinsalu, M, Leung, R, Li, X, Li, Y, Liang, J, Liang, X, Lim, S, Lin, Hh, Lipshultz, Se, Liu, S, Liu, Y, Lloyd, Bk, London, Sj, Lotufo, Pa, Ma, J, Ma, S, Machado, Vm, Mainoo, Nk, Majdan, M, Mapoma, Cc, Marcenes, W, Marzan, Mb, Mason-Jones, Aj, Mehndiratta, Mm, Mejia-Rodriguez, F, Memish, Za, Mendoza, W, Miller, Tr, Mills, Ej, Mokdad, Ah, Mola, Gl, Monasta, L, de la Cruz Monis, J, Hernandez, Jc, Moore, Ar, Mori, R, Mueller, Uo, Mukaigawara, M, Naheed, A, Naidoo, K, Nand, D, Nangia, V, Nash, D, Nejjari, C, Nelson, Rg, Neupane, Sp, Newton, Cr, Ng, M, Nieuwenhuijsen, Mj, Nisar, Mi, Nolte, S, Norheim, Of, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Olusanya, Bo, Omer, Sb, Opio, Jn, Orisakwe, Oe, Pandian, Jd, Papachristou, C, Park, Jh, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pereira, Dm, Pesudovs, K, Petzold, M, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, D, Pourmalek, F, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Ur Rahman, S, Raju, M, Rana, Sm, Refaat, A, Ronfani, L, Roy, N, Pimienta, Tg, Sahraian, Ma, Salomon, J, Sampson, U, Santos, I, Sawhney, M, Sayinzoga, F, Schneider, Ij, Schumacher, A, Schwebel, Dc, Seedat, S, Sepanlou, Sg, Servan-Mori, Ee, Shakh-Nazarova, M, Sheikhbahaei, S, Shibuya, K, Shin, Hh, Shiue, I, Sigfusdottir, Id, Silberberg, Dh, Silva, Ap, Singh, Ja, Skirbekk, V, Sliwa, K, Soshnikov, S, Sposato, La, Sreeramareddy, Ct, Stroumpoulis, K, Sturua, L, Sykes, Bl, Tabb, Km, Talongwa, Rt, Tan, F, Teixeira, Cm, Tenkorang, Ey, Terkawi, A, Thorne-Lyman, Al, Tirschwell, Dl, Towbin, Ja, Tran, Bx, Tsilimbaris, M, Uchendu, U, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Vallely, Aj, van Gool, Ch, Vasankari, Tj, Vavilala, M, Venketasubramanian, N, Villalpando, S, Violante, F, Vlassov, Vv, Vos, T, Waller, S, Wang, H, Wang, L, Wang, Sx, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Westerman, R, Wilkinson, Jd, Woldeyohannes, Sm, Wong, Jq, Wordofa, Ma, Xu, G, Yang, Yc, Yano, Y, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, Mz, Yu, C, Jin, Ky, El Sayed Zaki, M, Zhao, Y, Zheng, Y, Zhou, M, Zhu, J, Zou, Xn, Lopez, Ad, Naghavi, M, Murray, Cj, Lozano, R, Cell biology, Epidemiology, Public Health, Erasmus MC other, Cardiothoracic Surgery, and Pathology
Subjects: Pediatrics, Time Factors, Nutrition and Disease, hiv-infection, immunodeficiency virus-1 infection, peripartum cardiomyopathy, Poison control, HIV Infections, IMMUNODEFICIENCY VIRUS-1 INFECTION, Socioeconomic Factor, Global Health, 0302 clinical medicine, PERIPARTUM CARDIOMYOPATHY, pregnancy-related mortality, Risk Factors, Pregnancy, Voeding en Ziekte, Cause of Death, Global health, HIV Infection, 030212 general & internal medicine, Pregnancy Complications, Infectious, 10. No inequality, Cause of death, 030219 obstetrics & reproductive medicine, south-africa, Medicine (all), 1. No poverty, WOMEN, PREGNANCY-RELATED MORTALITY, health initiatives, General Medicine, SOUTH-AFRICA, 3. Good health, Maternal Mortality, World Health, CHILD SURVIVAL, Female, Maternal death, women, Human, medicine.medical_specialty, Time Factor, DEATHS, child survival, Article, adult mortality, 03 medical and health sciences, Age Distribution, HEALTH INITIATIVES, SDG 3 - Good Health and Well-being, HIV-INFECTION, ADULT MORTALITY, Injury prevention, medicine, Organizational Objectives, Organizational Objective, Humans, VLAG, Models, Statistical, business.industry, Risk Factor, medicine.disease, deaths, Standardized mortality ratio, Socioeconomic Factors, Relative risk, Pregnancy Complications, Infectiou, business, Demography
Abstract: BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990-2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values.FINDINGS: 292,982 (95% UI 261,017-327,792) maternal deaths occurred in 2013, compared with 376,034 (343,483-407,574) in 1990. The global annual rate of change in the MMR was -0·3% (-1·1 to 0·6) from 1990 to 2003, and -2·7% (-3·9 to -1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290-2866) maternal deaths were related to HIV in 2013, 0·4% (0·2-0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1-1262·8) in South Sudan to 2·4 (1·6-3·6) in Iceland.INTERPRETATION: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa.FUNDING: Bill & Melinda Gates Foundation.
Published: 2016

42. Patient Perspectives on Acquiring Spectacles: A Cambodian Experience

Author: Kovin Naidoo, Dawn Grant-Skiba, Gail M. Ormsby, and Jill E Keeffe
Subjects: Adult, Male, medicine.medical_specialty, Health Knowledge, Attitudes, Practice, genetic structures, Adolescent, Eye disease, Pilot Projects, Eye care, Health Services Accessibility, Unit (housing), 03 medical and health sciences, Young Adult, 0302 clinical medicine, Patient satisfaction, Cost of Illness, Eye health, Medicine, Humans, Young adult, Aged, Aged, 80 and over, Age differences, business.industry, 030503 health policy & services, Age Factors, General Medicine, Health Care Costs, Middle Aged, Patient Acceptance of Health Care, medicine.disease, Refractive Errors, eye diseases, Ophthalmology, Eyeglasses, Patient Satisfaction, Family medicine, 030221 ophthalmology & optometry, Female, Thematic analysis, 0305 other medical science, business, Cambodia, Social psychology
Abstract: PURPOSE To assess the perspectives of patients who acquired spectacles from an eye unit/vision center in Cambodia. DESIGN A sample (n = 62) of patients was selected across 4 provinces: Prey Veng, Siem Reap, Battambang, and Takeo. METHODS The Patient Spectacle Satisfaction Survey covering demographic and semistructured questions regarding patient satisfaction, style, and costs incurred was used to collect data. Information was transcribed and translated into English and analyzed by thematic coding using NVivo. RESULTS Although there were more women seeking eye health care treatment, there was no significant age difference. Patient satisfaction levels were high although the patients had to pay for transportation, registration, and the glasses themselves. A total of 60 patients (96.7%) stated they would recommend the refractive service center to others. Despite a high level of awareness of eye disease such as cataract, only 2 in 10 people could accurately identify cataract as a major cause of poor vision or blindness. Most of the people (52%) blamed bad vision or blindness on dust or other foreign objects getting into the eye, old age (31%), or poor hygiene (16%). CONCLUSIONS Most people will pay eye care costs once barriers to seeking treatment have been broken via education and encouragement. Satisfaction of wearing spectacles was associated with improved vision; style, color, and fit of the spectacles; and protection from sunlight and dust. The proximity of and easy access to health facilities influenced patient desire to seek treatment.
Published: 2016

43. Framing professional programs within development projects: driving longer term recognition and integration

Author: Kovin Naidoo, James Loughman, and Diane Wallace
Subjects: medicine.medical_specialty, Scope of practice, Service delivery framework, 030231 tropical medicine, Development, Education, 03 medical and health sciences, Patient safety, 0302 clinical medicine, Health care, medicine, Humans, Program Development, Developing Countries, Mozambique, Qualitative Research, Medicine(all), Medical education, Research ethics, business.industry, Public health, Professional Practice, General Medicine, Public relations, Systems Integration, Needs assessment, 030221 ophthalmology & optometry, Optometry, business, Needs Assessment, Research Article, Regulation, Declaration of Helsinki
Abstract: Background: Optometry has, over the past ten years, emerged as a profession strategically positioned to address the burden of uncorrected refractive error in developing countries. Estimates suggest that 285 million people in the world are needlessly visually impaired, mainly due to the lack of trained eye health professionals in the developing world. Development initiatives in eye care have therefore moved away from vertical, service delivery approaches to supporting the establishment of more sustainable, locally owned training programs. This research is based on one the evaluation of one such initiative known as the Mozambique Eyecare Project. Methods: This study followed a qualitative research design. Ethical approval was granted by the Research Ethics Committee at the Technological University Dublin, which followed the tenets of the Declaration of Helsinki. A qualitative, interview-based study was undertaken between 2012 and 2014 with eighteen key informants involved in the design, planning and implementation of the project. A semi-structured interview guide was developed to explore, inter alia, challenges relating to the establishment of the new profession of optometry in Mozambique. Data was coded and analysed thematically and results derived from a process of descriptive-interpretive analysis. Results: The establishment of a new profession within the ambit of a development project presents several challenges, principally the establishment of the profession's identity in relation to similar professional cadres' in-country. The risk of not addressing professional regulatory requirements for new programs, where equal or similar qualifications have not previously existed, are that the profession may not be officially recognised by the relevant health authorities and therefore not mainstreamed into public health services, or that training standards and scope of practice may be inappropriate to local needs. Overall, the public may become vulnerable to unscrupulous health care practices. Conclusions: Health professions are regulated in order to ensure patient safety, as well as minimum standards of care and training within professions. Development projects must address issues of professional identity and official recognition of health professions and their respective qualifications through relevant local authorities, so that graduate qualifications are legitimised and the longer term objectives of the development investment are supported.
Published: 2016

44. Childhood eye care services in South Darfur State of Sudan: Learner and parent perspectives

Author: Saif Hassan Alrasheed, Kovin Naidoo, and Peter C. Clarke-Farr
Subjects: Refractive error, medicine.medical_specialty, knowledge, genetic structures, Eye disease, school, barriers, Visual impairment, Qualitative property, spectacles, eye care, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Health care, medicine, refractive error, Children, 030505 public health, medicine.diagnostic_test, business.industry, medicine.disease, Focus group, eye diseases, optometrist, Eye examination, lcsh:RE1-994, Family medicine, 030221 ophthalmology & optometry, Optometry, medicine.symptom, 0305 other medical science, business, Qualitative research
Abstract: Purpose: Most causes of childhood visual impairment are either treatable or preventable. Eye health education plays an important role in reducing avoidable causes of visual impairment as well as to help ensure a healthy and educated community. The main objective of this study was to assess the Knowledge, Attitudes and Practices of the students and their parents on childhood eye services and barriers for accessing child eye care. Methods: The study was conducted in South Darfur State of Sudan between January and February 2015. Both quantitative and qualitative methods were used to collect data from eight secondary schools. Four schools for boys and four schools for girls were randomly selected from a list of 21 districts of South Darfur State and the Knowledge, Attitudes and Practices surveys were conducted with the students to collect quantitative data. In addition, seven focus group discussions were conducted with the children’s parents to collect qualitative data. Results: The majority (57.5%) of the students reported that they knew about refractive error; however, 33.07% reported never hearing about refractive error. About 70.3% of the respondents believed that uncorrected refractive error leads to visual impairment, 21% believed refractive error did not cause visual impairment and 30.5% reported that wearing spectacles was not effective in the treatment of refractive error. With regard to the information about eye healthcare, 88.1% of the participants reported they did not have enough information about eye care. The reported need for more information about prevention, treatment and symptoms was 34.0%, 31.4% and 17.5%, respectively. With regard to barriers, 80.6% of the students reported never having had their eyes tested. The most cited barriers were cost, fear of wearing spectacles and fear of an eye examination. In addition, 72.6% of students reported that their health insurance did not cover eye care services. Most (53.6%) of the parents believed that the cause of refractive error in children was poor nutrition. Common themes arising from the focus group discussions included parents reporting that they looked for traditional treatment for their children and preferring to receive child eye information from an eye specialist and through the television and radio. The most frequently cited barriers by the parents were high cost of the treatment, lack of eye care specialists, lack of awareness about child eye diseases and mistrust in eye care providers. Conclusion: The level of knowledge and practices about eye care and refractive error is low and perceptions about spectacles as a method for treatment for refractive error were fraught with misconceptions amongst students. There is a need for structured educational programmes to raise awareness regarding the effect and treatment modalities for childhood eye disease and visual impairment in order to address the barriers for accessing childhood eye care. Keywords: Children; school; eye care; spectacles; refractive error; knowledge;barriers; optometrist
Published: 2016

45. Uncorrected refractive errors, presbyopia and spectacle coverage in Kamuli District, Uganda

Author: Mary Wepo, Naomi Nsubuga, Kovin Naidoo, Pirindha Govender, VingFai Chan, and Prasidh Ramson
Subjects: Refractive error, education.field_of_study, spectacle coverage, business.industry, 030231 tropical medicine, Spectacle, Population, Presbyopia, medicine.disease, Confidence interval, Rapid assessment, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Uncorrected refractive errors, lcsh:RE1-994, 030221 ophthalmology & optometry, medicine, presbyopia, Optometry, Cluster sampling, business, education
Abstract: Background: Successful refractive error programmes arise from evidence that can be collected cost effectively and timely. Aim: To investigate the prevalence of uncorrected refractive error (URE), presbyopia and spectacle coverage in the Kamuli district, Uganda. Setting: The study was conducted in the Kamuli district in Uganda. Methods: The Rapid Assessment of Refractive Error (RARE) study design is a communitybased cross-sectional study using multistage cluster random sampling to gather information on refractive errors and presbyopia. Subjects aged 15 years and older were selected from the population in Kamuli district in Uganda. Vision impairment due to URE at distance and near and barriers to uptake of refractive error services were investigated. Results: Participants, N = 3281 (57.6% male), with an age range of 15–92 years were enumerated and the response rate was 100%. The prevalence of refractive errors was 4.6% (95% confidence interval [CI]: 3.7 – 5.5) and the spectacle coverage was 5.96% (95% CI 1.74% – 10.18%). The prevalence of uncorrected presbyopia was 50.3% (95% CI 47.6% – 53.0%) and the spectacle coverage was 0%. Thirty-three (or 1%) respondents were current spectacle users. One-hundred fourteen people (3.5%) had previously used spectacles; however, 50.9% of them discontinued spectacle use a year before the study because the spectacles were broken or scratched. The major barriers to spectacle uptake were accessibility of services and affordability of spectacles. Conclusion: The prevalence of URE and the barriers to uptake of refractive services will inform the implementation of refractive services in the study area. Key words: Uncorrected refractive errors; presbyopia and spectacle coverage
Published: 2016

46. The management of diabetic retinopathy in the public sector of eThekwini district of KwaZulu-Natal

Author: Kovin Naidoo, Linda Visser, and Zaheera Abdool
Subjects: medicine.medical_specialty, genetic structures, Referral, ophthalmologists, Visual impairment, Diabetic Eye Disease, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Diabetic retinopathy, district health system, Health care, medicine, 030212 general & internal medicine, promary health care workers, medicine.diagnostic_test, business.industry, Public health, Fundus photography, medicine.disease, eye diseases, lcsh:RE1-994, Family medicine, Community health, 030221 ophthalmology & optometry, Optometry, medicine.symptom, business
Abstract: Background: Estimates from the year 1990–2010 showed an increase in blindness and vision impairment (moderate or severe) because of diabetic retinopathy (DR) in Sub-Saharan Africa’s sub-regions (central, eastern, southern and western Africa). 1 The rate of DR in South Africa is expected to increase because of the lack of screening protocols and policies for the management of diabetic eye disease in the district health system of South Africa. Aim: The purpose of this study was to determine the current role of healthcare practitioners (HCPs) towards managing DR in the eThekwini district of KwaZulu-Natal. Method: A cross-sectional study was conducted, and questionnaires were distributed to a total of 104 HCPs in public health institutions situated in the northern eThekwini district of KwaZulu-Natal. Clinics and community health centres (CHCs) were selected based on the assumption that primary healthcare nurses, medical officers (MOs) and ophthalmic nurses and/or optometrists practice at these institutions. The hospitals selected were the referral institutions for the selected clinics and CHCs. The questionnaires distributed included questions relating to diabetic patient registers, referrals to and from other HCPs, management of ocular complications, ocular screening methods, fundus examinations and involvement in screening programmes. Results: Over a third of the ophthalmologists (35.3%) indicated that DR was present at the initial examination in more than 50% of patients, though overall ophthalmologists reported loss of vision in at least one eye in fewer than 5% of patients on presentation. Less than half of the public sector general practitioners or MOs (40.6%) conducted fundus examinations but 90.6% did not dilate pupils, although 71.9% had knowledge on the use of a direct ophthalmoscope. Only 40.6% of the MOs discussed the ocular complications of uncontrolled diabetes mellitus (DM) with patients and 62.5% encouraged regular eye examinations. Less than 50% of the MOs (43.8%) referred patients complaining of visual difficulties to optometrists and 9.4% referred to the ophthalmic nurses. Only 6.25% referred patients with DM needing further evaluation to ophthalmologists. Data from the optometrists were inconclusive because of the poor response rate of 5 (20%). None of the ophthalmic nurses reported doing fundus photography or refractions. Two-thirds of the ophthalmic nurses were interested in training to properly grade DR. Conclusion: The study established that there are key challenges in referral, training and practice in the management of DR. These need to be addressed in order to develop a comprehensive approach for the prevention and management of visual impairment and blindness because of DM.
Published: 2016

47. Recruitment and retention strategies for public sector optometrists in KwaZulu-Natal Province, South Africa

Author: Kovin Naidoo, Pirindha Govender, and Prasidh Ramson
Subjects: Optometrists, retention, medicine.medical_specialty, Bursary, Demographic profile, 03 medical and health sciences, 0302 clinical medicine, lcsh:Ophthalmology, Nursing, medicine, 030212 general & internal medicine, Human resources, business.industry, public sector, Public sector, career pathway, district health, Job security, recruitment, lcsh:RE1-994, Human resource management, Family medicine, Workforce, 030221 ophthalmology & optometry, Public service, business
Abstract: Background: In South Africa, there is a paucity of optometrists serving the needs of the larger public sector. KwaZulu-Natal is one of the most densely populated provinces and home to several of the poorest districts. Despite an optometry school in the province, and with a lack of compulsory community service for new graduates, more optometrists are needed to serve the public sector. While studies on the recruitment and retention of medical and allied health professionals have been conducted, limited evidence exists on work trends of public sector optometrists. Methods: A cross-sectional study design using both quantitative and qualitative data collection methods was used. All public sector optometrists and local district health co-ordinators in the province were contacted, with an 80% (41 out of 51) and 75% (9 out of 12) response rate, respectively. Questionnaires containing demographic, recruitment, retention and open-ended questions were distributed by post, fax and email and via an online survey to both groups. Telephonic interviews were also conducted using semi-structured techniques. Frequency distributions, Fisher’s exact test and odds ratios were used to statistically describe the demographic data, while qualitative responses were recorded and analysed for commonly occurring themes. Results: The present public sector optometry workforce comprises mainly young (73%), black (70%), women (66%). They chose to work in the public sector to ‘make a difference’ and were attracted by ‘good working hours’ and ‘job security’. Fifty-three percent of optometrists work in the public sector due to a study bursary, for which there was a statistically significant association for race ( p = 0.01), gender ( p = 0.05) and background origin ( p = 0.05). To aid their retention in public service, improved salaries, career progression, recognition, improved management relations and improved instrumentation were ranked highest by these optometrists. Conclusion: The demographic profile of presently serving public sector optometrists poses many human resource (HR) challenges and opportunities. Universities should pay attention to rural origin of students and provide exposure to rural clinical experiences during study. Departments of Health use study bursary incentives to recruit optometrists, but need to consider financial and non-financial incentives for their retention. At hospital level, a responsive HR management system should be implemented with emphasis on career management, recognition, improving infrastructure and supporting professional development.
Published: 2016

48. Near vision correction and work productivity among textile workers

Author: Ving Fai Chan, Jyoti Jaggernath, Kovin Naidoo, and Farai Chinanayi
Subjects: 0301 basic medicine, Work productivity, Indian origin, business.industry, Presbyopia, medicine.disease, African origin, Confidence interval, Mixed race, 03 medical and health sciences, Near vision, Clothing industry, 030104 developmental biology, 0302 clinical medicine, lcsh:Ophthalmology, lcsh:RE1-994, 030221 ophthalmology & optometry, medicine, Public Health, business, Demography
Abstract: Purpose: Uncorrected presbyopia (near vision impairment) is prevalent in approximately 517 million people worldwide; this prevalence ranges from 30% to 80% in Africa. Good near vision is needed for a range of tasks; therefore, uncorrected presbyopia can negatively affect the quality of life of individuals, impact families and society, and potentially have negative implications on employment and labour work productivity. This study aimed to determine the impact of near vision correction on the work productivity of clothing factory workers. Methods: We conducted a cross-sectional study and sampled all workers who were aged 40 years and older and who performed near vision tasks (e.g. machinist, cutter, zip sewer, clothing pressers and quality controllers) in seven clothing factories. We included workers who were employed for at least 3 months and whose uncorrected near visual acuity could be improved and corrected to better than 6/9 with spectacle correction. Workers were provided with near vision spectacles, and changes in their work productivity were evaluated after 6 months, using the factories’ output records as an indicator for measurement. Results: The final sample comprised 268 individuals, with 56% of African origin ( n = 151) and 49% ( n = 115) Indian origin. There were mainly females (94%) in the sample, and the average age was 48 years (± 5.5 years, range 40–62 years). The overall post-correction mean production score (70.5 [SD ± 19.9]) was significantly higher than the overall pre-correction mean production score (67.0 [SD ±20.3]) ( p < 0.001). The average change in production score was 3.5 (95% confidence interval [CI] 2.7–4.3), and the percent difference was 6.4% (95% CI 5.2–7.7). The increase in work productivity was significant for individuals of African ( p < 0.001) and Indian origins ( p < 0.001) but not for those of mixed race ( p = 0.364; n = 2). Post-correction, the production scores of women increased significantly by 6.6% (95% CI 5.3–7.9) ( p < 0.001). Significant increases in production scores were recorded for machinists, clothing pressers and quality controllers. Conclusion: Significant changes in work productivity among the workers with presbyopic correction were recorded. The clothing industry served as a favourable setting to examine changes in work productivity, obtaining reliable scores of output. This study was used as an exploratory investigation, and the results will be used to inform a randomised-controlled study that will provide stronger validation for the hypothesis that near vision correction impacts work productivity
Published: 2016

49. Development of Socially Responsive Competency Frameworks for Ophthalmic Technicians and Optometrists in Mozambique

Author: Kovin Naidoo, James Loughman, and Kajal Shah
Subjects: Delphi Technique, Health Personnel, Modified delphi, Developing country, Context (language use), Likert scale, 03 medical and health sciences, 0302 clinical medicine, framework, Humans, Medicine, Relevance (information retrieval), 030212 general & internal medicine, Curriculum, Mozambique, optometrists, competencies, Medical education, business.industry, Ophthalmic Assistants, Ophthalmology, 030221 ophthalmology & optometry, Optometry, Clinical Competence, Educational Measurement, business, Social responsibility, opthalmic technicians, Primary research
Abstract: Background There is an extreme paucity of eye-care personnel and training facilities in developing countries. This study was designed to develop a comprehensive framework of competency standards for ophthalmic technicians and optometrists, in Mozambique. This could then inform the evolution of socially responsive curricula for both cadres. Methods A modified Delphi technique was used with a ten member expert panel consisting of optometrists, ophthalmic technicians and ophthalmologists, all with experience of working in a developing country context. The competencies were derived from literature, primary research data and observations from a competency development workshop. The first round involved scoring the relevance of two frameworks, one for each cadre, using a nine-point Likert scale with a free-text option to modify any competency or suggest additional competencies. The revised frameworks were subjected to a second round of scoring and free-text comment. The final versions of the agreed frameworks were sent out to the relevant stakeholders. Results There was a 100 per cent response to round 1 and an 89 per cent response to round 2. The final versions of the competency frameworks contained six competencies, 20 elements and 88 performance criteria for optometry and six competencies, 17 elements and 61 performance criteria for ophthalmic technicians. Conclusions Application of a consensus methodology consisting of a modified Delphi technique with primary research data allowed the development of competency frameworks for ophthalmic technicians and optometrists. This will help to shape the development of curricula for both cadres and potentially could be replicated in other regions that wish to develop socially responsive education for eye-care professionals.
Published: 2016

50. Social Accountability: Introducing a New Dimension in Optometric Education

Author: Kovin Naidoo, James Loughman, and Vanessa R. Moodley
Subjects: Social accounting, Higher education, CITES, business.industry, Stakeholder, Public administration, Public relations, Focus group, 03 medical and health sciences, 0302 clinical medicine, Content analysis, Political science, 030221 ophthalmology & optometry, 030212 general & internal medicine, Social determinants of health, Descriptive research, business, optometric education, social accountability, World Council for Optometry, global framework, social determinants, eye care education, Optometry
Abstract: Optometry globally has undergone major developments yet poor eye health statistics remain. The World Health Organization (WHO) cites social accountability as key to addressing health challenges, urging the education sector to be more socially accountable and train according to the needs of society. A qualitative, descriptive study was used to determine the integration of social accountability within optometric education in sub-Saharan Africa. Eleven academic leaders and two student groups participated in key stakeholder interviews and focus group discussions respectively. Data was thematically analysed using interpretive content analysis. The study found that social accountability policies or practices were not formally integrated across any academic area in the represented optometry education programmes. Optometric education needs to embrace and implement social accountability at country, regional and global levels. The World Council for Optometry is urged to provide leadership in this process by developing a Global Framework for Social Accountability in Optometric Education to guide regions and countries towards the adoption of social accountability. Key Words: optometric education; social accountability; World Council for Optometry; global framework; social determinants; eye care education.
Published: 2016

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