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1. Atypical presentation of colon adenocarcinoma: a case report

Author

Tumwine Lynnette K, Kagimu Magid, Ocama Ponsiano, Segamwenge Innocent, Masiira-Mukasa Noah, Wamala Dan, Dworak Otto, and Opio Christopher K

Subjects
Medicine
Abstract

Abstract Introduction Adenocarcinoma of the colon is the most common histopathological type of colorectal cancer. In Western Europe and the United States, it is the third most common type and accounts for 98% of cancers of the large intestine. In Uganda, as elsewhere in Africa, the majority of patients are elderly (at least 60 years old). However, more recently, it has been observed that younger patients (less than 40 years of age) are presenting with the disease. There is also an increase in its incidence and most patients present late, possibly because of the lack of a comprehensive national screening and preventive health-care program. We describe the clinicopathological features of colorectal carcinoma in the case of a young man in Kampala, Uganda. Case presentation A 27-year-old man from Kampala, Uganda, presented with gross abdominal distension, progressive loss of weight, and fever. He was initially screened for tuberculosis, hepatitis, and lymphoma, and human immunodeficiency virus/acquired immunodeficiency syndrome infection. After a battery of tests, a diagnosis of colorectal carcinoma was finally established with hematoxylin and eosin staining of a cell block made from the sediment of a liter of cytospun ascitic fluid, which showed atypical glands floating in abundant extracellular mucin, suggestive of adenocarcinoma. Ancillary tests with alcian blue/periodic acid Schiff and mucicarmine staining revealed that it was a mucinous adenocarcinoma. Immunohistochemistry showed strong positivity with CDX2, confirming that the origin of the tumor was the colon. Conclusions Colorectal carcinoma has been noted to occur with increasing frequency in young adults in Africa. Most patients have mucinous adenocarcinoma, present late, and have rapid disease progression and poor outcome. Therefore, colorectal malignancy should no longer be excluded from consideration only on the basis of a patient's age. A high index of suspicion is important in the diagnosis of colorectal malignancy in young African patients.

Published
2012
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2. Neonatal tetanus with good outcomes at a regional referral hospital in Eastern Uganda: a case report

Author

Clare Nakubulwa, Emmanuel Opio, Gladys Sarah Alekat, Medrine Kibetenga, and Florence Olwedo Egwau Alaroker

Subjects
Low-income setting, Tetanus, Infant, Newborn, Case Report, General Medicine, Hospitals, Infant, Newborn, Diseases, Neonate, Humans, Medicine, Female, Uganda, Referral and Consultation, Neonatal tetanus
Abstract

Background Neonatal tetanus, though now rare in developed countries, is still a significant cause of mortality in developing countries. Mortality, which can be as high as 100% without medical intervention, can be reduced to less than 10% with intensive care. Low-resource settings still lack sophisticated intensive care that has been shown to improve outcomes in high-income countries. However, there are low-cost interventions that have been shown to improve outcomes such as the use of magnesium sulfate in the management of severe tetanus. Case presentation A 9-day-old term Itesot neonate presented to our facility with inability to breast feed, excessive crying, and stiffening of the body when touched that started on the fourth day of life. On admission, she had signs of respiratory distress, fever, and labile heart rate. A diagnosis of neonatal tetanus with autonomic dysfunction was made, and the neonate was started on diazepam and magnesium sulfate infusion. She showed remarkable improvement and was discharged after 24 days of inpatient care. Conclusion There is still need to improve case management modalities for neonatal tetanus in low-income settings to improve outcomes. This case report summarizes how adopting a low-cost treatment modality for neonatal tetanus resulted in good outcomes at a regional referral hospital in Eastern Uganda.

Published
2022

3. Hepatic schistosomiasis, upper gastrointestinal bleeding, and health related quality of life measurements from the Albert Nile Basin

Author

Narcis B. Kabatereine, Lalitha Rejani, Christopher K Opio, Francis Kazibwe, and Ponsiano Ocama

Subjects
medicine.medical_specialty, Population, Health Informatics, Physical examination, Health intervention, Health Information Management, Public health surveillance, Internal medicine, Health related quality of life measurements, medicine, Schistosomiasis, Medical history, education, Depression (differential diagnoses), Upper gastrointestinal bleeding, education.field_of_study, medicine.diagnostic_test, business.industry, Rural health, Research, medicine.disease, EQ-5D/EQ-VAS, Disability weights, Public aspects of medicine, RA1-1270, business
Abstract

Background Health related quality of life measurements are vital elements of public health surveillance that uncover unmet health needs and predict the success of health interventions. We described health related quality of life measurements using the EuroQoL 5-dimension (EQ-VAS/EQ-5D) instrument and associated factors among patients with upper gastrointestinal bleeding (UGIB) and hepatic schistosomiasis at a rural health facility in the Albert Nile Basin, Uganda. Methods and materials This was a cross-sectional study at Pakwach Health Centre IV. Participants included adult inpatients and outpatients with a history of UGIB and ultrasound evidence of hepatic schistosomiasis. We evaluated and recorded each participant’s medical history, physical examination, laboratory tests results, ultrasound results, and endoscopy findings. We also recorded health related quality of life measurements using the EuroQoL 5-dimension instrument and derived disability weights from EQ-VAS and EQ-5D measurements. These were our dependent variables. Descriptive and inferential statistics were generated summarizing our findings. Results We found 103 participants had a history of upper gastrointestinal bleeding and hepatosplenic schistosomiasis. Sixty percent were between the ages of 30–49 years, 59% were females, 74% were farmers, 92% had splenomegaly, 88% had varices at endoscopy, 22% were medical emergencies with acute variceal upper gastrointestinal bleeding, and 62% had anemia. Measures of the different dimensions of health from 101 participants with patient reported outcomes revealed 77 (76%) participants experienced problems in self-care, 89 (88%) participants reported anxiety or depression, and 89 (88%) participants experienced pain or discomfort. The median EQ-VAS derived disability weights and median EQ-5D index-derived disability weights were 0.3 and 0.34, respectively. Acute upper gastrointestinal bleeding, praziquantel drug treatment, and age by decade predicted higher EQ-VAS derived disability weights (p value p value Conclusion Adult patients with upper gastrointestinal bleeding and hepatic schistosomiasis from this primary health facility experience poor health and considerable health loss. Several factors predicted increased health loss. These factors probably represent key areas of health intervention towards mitigating increased health loss in this population.

Published
2021

4. Sporadic Rift Valley Fever Outbreaks in Humans and Animals in Uganda, October 2017–January 2018

Author

Paul Lumu, Julius J. Lutwama, Nixon Denis Opio, Robert Aruho, Bernadette Basuta Mirembe, Benon Kwesiga, Deo Birungi Ndumu, Denis Okethwangu, Freda Loy Aceng, Innocent Herbert Nkonwa, Claire Biribawa, Fred Monje, Lilian Bulage, Alex Riolexus Ario, David Muwanguzi, and Doreen Birungi

Subjects
Veterinary medicine, Abdominal pain, Rift Valley Fever, Article Subject, Health, Toxicology and Mutagenesis, Virus, Disease Outbreaks, Serology, Animals, Humans, Medicine, Uganda, Rift Valley fever, business.industry, Zoonosis, Public Health, Environmental and Occupational Health, Outbreak, Rift Valley fever virus, medicine.disease, Livestock, Public aspects of medicine, RA1-1270, medicine.symptom, business, Malaria, Research Article
Abstract

Introduction. Rift Valley fever (RVF) is a mosquito-borne viral zoonosis. The Uganda Ministry of Health received alerts of suspected viral haemorrhagic fever in humans from Kiruhura, Buikwe, Kiboga, and Mityana districts. Laboratory results from Uganda Virus Research Institute indicated that human cases were positive for Rift Valley fever virus (RVFV) by polymerase chain reaction. We investigated to determine the scope of outbreaks, identify exposure factors, and recommend evidence-based control and prevention measures. Methods. A suspected case was defined as a person with acute fever onset, negative malaria test result, and at least two of the following symptoms: headache, muscle or joint pain, bleeding, and any gastroenteritis symptom (nausea, vomiting, abdominal pain, diarrhoea) in a resident of Kiruhura, Buikwe, Mityana, and Kiboga districts from 1st October 2017 to 30th January 2018. A confirmed case was defined as a suspected case with laboratory confirmation by either detection of RVF nucleic acid by reverse-transcriptase polymerase chain reaction (RT-PCR) or demonstration of serum IgM or IgG antibodies by ELISA. Community case finding was conducted in all affected districts. In-depth interviews were conducted with human cases that were infected with RVF who included herdsmen and slaughterers/meat handlers to identify exposure factors for RVF infection. A total of 24 human and 362 animal blood samples were tested. Animal blood samples were purposively collected from farms that had reported stormy abortions in livestock and unexplained death of animals after a short illness (107 cattle, 83 goats, and 43 sheep). Convenient sampling for the wildlife (10 zebras, 1 topi, and 1 impala) was conducted to investigate infection in animals from Kiruhura, Buikwe, Mityana, and Kiboga districts. Human blood was tested for anti-RVFV IgM and IgG and animal blood for anti-RVFV IgG. Environmental assessments were conducted during the outbreaks in all the affected districts. Results. Sporadic RVF outbreaks occurred from mid-October 2017 to mid-January 2018 affecting humans, domestic animals, and wildlife. Human cases were reported from Kiruhura, Buikwe, Kiboga, and Mityana districts. Of the 24 human blood samples tested, anti-RVFV IgG was detected in 7 (29%) human samples; 1 human sample had detectable IgM only, and 6 had both IgM and IgG. Three of the seven confirmed human cases died among humans. Results from testing animal blood samples obtained from Kiruhura district indicated that 44% (64/146) cattle, 46% (35/76) goats, and 45% (9/20) sheep tested positive for RVF. Among wildlife, (1/10) zebras, (1/1) topi, and (1/1) impala tested positive for RVFV by serological tests. One blood sample from sheep in Kiboga district tested RVFV positive. All the human cases were exposed through contact or consumption of meat from infected animals. Conclusion. RVF outbreaks occurred in humans and animals in Kiruhura, Buikwe, Mityana, and Kiboga districts. Human cases were potentially infected through contact with infected animals and their products.

Published
2021

6. Modeling the Distribution of Radiofrequency Intensities from the Digital Terrestrial Television (DTTV) Broadcasting Transmitter in Kampala Metropolitan; Uganda

Author

Akisophel Kisolo, Tumps. W. Ireeta, Peter Opio, and Willy Okullo

Subjects
Computer Networks and Communications, Hardware and Architecture, business.industry, Medicine, Path loss, Distribution (economics), Broadcasting, business, Telecommunications, Metropolitan area, Software, Digital terrestrial television
Abstract

This study presents the modeling of the distribution of RF intensities from the Digital Terrestrial Television (DTTV) broadcasting transmitter in Kampala metropolitan. To achieve this, the performance evaluation of the different path loss propagation models and envisaging the one most suitable for Kampala metropolitan was done by comparing the path loss model values with the measured field Reference Signal Received Power (RSRP) values. The RSRP of the DTTV broadcasting transmitter were measured at operating frequencies of 526 MHz, 638 MHz, 730 MHz and 766 MHz using the Aaronia Spectran HF-6065 V4 spectrum analyzer, Aaronia AG HyperLOG 4025 Antenna at 1.5 m and 2.5 m heights, Aaronia GPS Logger, real time Aaronia MCS spectrum-analysis-software and a T430s Lenovo Laptop. On comparing the measured path loss values with the various path loss prediction model values, results showed that Egli and Davidson models are the most accurate and reliable path loss prediction models for the distribution of DTTV RF intensities in Kampala metropolitan, since their Root Mean Square Error values were the least for both routes.

Published
2020

7. Praziquantel and Upper Gastrointestinal Bleeding in Hepatic Schistosomiasis: A Quasi-Experimental Study

Author

Ponsiano Ocama, Narcis B. Kabatereine, Lalitha Rejani, Christopher Kenneth Opio, and Francis Kazibwe

Subjects
medicine.medical_specialty, Cirrhosis, business.industry, Schistosomiasis, Odds ratio, medicine.disease, 030226 pharmacology & pharmacy, Gastroenterology, Confidence interval, Praziquantel, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Population study, Pharmacology (medical), 030212 general & internal medicine, Upper gastrointestinal bleeding, Original Research Article, Varices, business, medicine.drug
Abstract

Background There is a general consensus that widespread use of praziquantel in populations where schistosomiasis is endemic prevents development of hepatic schistosomiasis and its complications. However, a few studies have reported discordant findings linking praziquantel to the occurrence of upper gastrointestinal bleeding (UGIB) in some patients with hepatic schistosomiasis and varices. Objective We explored if there was any causal association between recent praziquantel use (rPZQ) and upper gastrointestinal bleeding in hepatic schistosomiasis in rural Africa. Patients and Methods A quasi-experimental, retrospective case-controlled study was performed. It involved adult patients with past or acute UGIB, varices, periportal fibrosis, and/or cirrhosis. Cases had acute variceal bleeding while controls did not. The outcome was the frequency of lifetime episodes of UGIB and exposure was rPZQ (received praziquantel in the last 11 months from the date of enrollment). The data analysis included 2 × 2 tables, logistic regression, and propensity-score matching. Odds ratios (ORs), average treatment effects (ATEs), and their 95% confidence intervals (CIs) were used for inference. Results Over 6 weeks, we enrolled 19 cases with 92 lifetime episodes of UGIB, and 66 controls with 192 lifetime episodes of UGIB. Cases were more likely to experience UGIB than controls following rPZQ (92% vs. 62%; OR 7.6; 95% CI 3.4–17). Factors predictive of more lifetime episodes of UGIB at multivariable analysis included rPZQ (adjusted OR 13; 95% CI 2.9–53), relative leukocytosis (adjusted OR 26; 95% CI 7.6–89), large varices (adjusted OR 5.0; 95% CI 1.7–15), a family member with hepatosplenic schistosomiasis (adjusted OR 19; 95% CI 7.4–51), advanced periportal fibrosis (adjusted OR 8.0; 95% CI 2.6–22), ascites (adjusted OR 14; 95% CI 4.3–47), and jaundice (adjusted OR 32; 95% CI 7.8–128). While the ATE following rPZQ among the treated was 0.40 (95% CI 0.33–0.48). Conclusions Our findings suggest the presence of a plausible causal association between recent praziquantel use and increased frequency of UGIB in our study population. Supplementary Information The online version contains supplementary material available at 10.1007/s40801-020-00222-7.

Published
2020

8. Survival time and its predictors among preterms in the neonatal period post-discharge in Busoga region-Uganda June – July 2017

Author

Angela Kisaakye, Charles Opio, Carol Kamya, Peter Waiswa, Aggrey Mukose, Olufemi Ajumobi, Joseph Kagaayi, Fiston Muneza, Yeka Adoke, Richard Malumba, and Christine K. Nalwadda

Subjects
Post discharge, business.industry, Period (geology), Medicine, business, Survival, Predictors, Preterm infants, Uganda, Demography
Abstract

Introduction: Globally, out of 15 million babies born preterm each year, one million die. In Uganda, preterm deaths contribute 30% of the neonatal mortality rate. There is a paucity of information on the most critical time to conduct high impact interventions among neonate born preterm especially post-discharge from hospital. We determined the survival time to mortality and its predictors among preterm infants in the neonatal period post-discharge from hospital. Methods: We conducted a prospective cohort study in which 128 preterm infants were recruited from six hospitals including Jinja Regional Referral, St. Francis Buluba, Kamuli mission, Iganga, Kamuli and Bugiri district hospitals were prematurity was confirmed using gestation age and birth weight. Initially, background characteristics of the participants were assessed and then followed prospectively until 28 days. Kaplan-Meier survival analysis was used to estimate survival probabilities while time to preterm mortality was described using the 5thpercentile. Cox proportional hazards regression was used to determine predictors of survival. Results: Overall, 8% (10/128) of the preterm infants died; the 5th percentile survival time was 17 days. There was a 6-fold increase in hazard to mortality among preterm infants who had Kangaroo Mother Care (KMC) compared to those who did not (adjusted HR: 6.4, 95%CI: 1.7 – 24.5), a 5-fold increase in the hazard to preterm mortality among preterm infants born to HIV positive mothers compared to their counterparts who had HIV negative mothers (adjusted HR: 4.9, 95%CI: 1.1 – 22.2); and a 4-fold increase in the hazard to preterm mortality among preterm infants who were not exclusively breastfed compared to those who were exclusively breastfed (adjusted HR: 4.4, 95%CI: 1.1 – 18.3). Conclusion: Among babies who died, death occurred in the first 17 days while factors negatively associated with preterm survival included; not practicing Kangaroo Mother Care, not being breastfed exclusively and being born to an HIV positive mother. We recommend follow-up care for preterm infants following hospital discharge, implementation of prevention of mother to child transmission of HIV and exclusive breastfeeding of preterm babies.

Published
2022

9. Use of Cosmetic Products and Related Adverse Reactions among Health Science Students

Author

Gbednet Theophilus Kureh, Arnold Ndesangia, Idiongo Okon Umoh, Robert Dickson Opio, Godwin Aiyabalu Okoruwa, and Joshua Ojodale Aruwa

Subjects
biology, Cross-sectional study, business.industry, media_common.quotation_subject, Pharmacy, biology.organism_classification, Cosmetics, Stratified sampling, Tanzania, Health science, Environmental health, parasitic diseases, Chi-square test, Medicine, General Pharmacology, Toxicology and Pharmaceutics, business, Adverse effect, media_common
Abstract

Objectives: This research was carried out in Dar es Salaam, Tanzania to assess cosmetic use and related adverse reactions among university students studying medicine and pharmacy in Dar es Salaam, Tanzania. Methods: A cross sectional study design was employed and data was collected by random stratified sampling technique. Data was collected and analyzed using SPSS version 20 and the chi square test was used to determine the associations between variables. Results: Findings indicated that majority (91%) of respondents were using cosmetic products at the time of the study. More than half of respondents (58.4%) admitted to have experienced at least one type of adverse reaction from using cosmetic products. The most commonly experienced adverse reactions were allergic reactions (30.8%) followed by burning sensation (18.5%) mostly from perfumes and face products. Moreover, there were associations (p Key words: Cosmetics, Cosmetic products, Cosmetics use-related adverse reactions, Allergic reactions, Skin protection.

Published
2020

10. Inhibition of Abscisic Acid 8′-Hydroxylase Affects Dehydration Tolerance and Root Formation in Cuttings of Grapes (Vitis labrusca L. × Vitis vinifera L. cv. Kyoho) Under Drought Stress Conditions

Author

Hiroyuki Tomiyama, Yasushi Todoroki, Satoru Kondo, Takanori Saito, Katsuya Ohkawa, Mai Sato, Peter Opio, and Hitoshi Ohara

Subjects
0106 biological sciences, 0301 basic medicine, chemistry.chemical_classification, Catabolism, Metabolite, fungi, food and beverages, Plant physiology, Plant Science, medicine.disease, 01 natural sciences, 03 medical and health sciences, Cutting, chemistry.chemical_compound, Horticulture, 030104 developmental biology, Enzyme, chemistry, medicine, Dehydration, Proline, Agronomy and Crop Science, Abscisic acid, 010606 plant biology & botany
Abstract

The effects of an inhibitor (Abz-E3M) of abscisic acid (ABA) 8′-hydroxylase, which is a primary enzyme of ABA catabolism, on dehydration tolerance and root formation in grape cuttings under drought conditions were investigated. Cuttings of ‘Kyoho’ grape (Vitis labrusca L. × Vitis vinifera L.) were sprayed with 100 μM of Abz-E3M and subjected to water deficit conditions at the stage when their first leaves fully expanded. The physiological and morphological changes in the leaves and basal portions of the cuttings were determined. In Abz-E3M-treated leaves, lower ABA metabolite and higher ABA and indole-3-acetic acid (IAA) concentrations were observed. Compared to the untreated control leaves, higher water potential was significantly maintained in Abz-E3M-treated leaves. Abz-E3M applications resulted in lower proline accumulation and 2,2-diphenyl-2-picrylhydrazyl radical scavenging activity in the leaves and led to enhanced dehydration tolerance. In addition, the percentage of rooted cuttings was significantly increased by Abz-E3M application. In the basal portion of Abz-E3M-treated cuttings, endogenous IAA concentrations and the gene expressions of VvARF6 and VvARF8, which are positive regulators of adventitious root formation, were significantly increased. Moreover, the expression levels of the negative regulator, VvARF17, were significantly lower. These results suggested that the inhibition of ABA 8′-hydroxylase enhanced dehydration tolerance and adventitious rooting and may be an effective strategy for achieving drought stress tolerance in grape cuttings.

Published
2020

11. Understanding the Trend of NO2, SO2 and CO over East Africa from 2005 to 2020

Author

Isaac Mugume, Joyce Nakatumba-Nabende, and Ronald Opio

Subjects
Ozone Monitoring Instrument, Atmospheric Science, nitrogen dioxide, OMI, Air pollution, Climate change, TROPOMI, Environmental Science (miscellaneous), medicine.disease_cause, Atmospheric sciences, carbon monoxide, Atmosphere, Troposphere, chemistry.chemical_compound, chemistry, Atmospheric chemistry, Meteorology. Climatology, Atmospheric Infrared Sounder, medicine, sulphur dioxide, Environmental science, Nitrogen dioxide, QC851-999
Abstract

The atmospheric chemistry constituents of nitrogen dioxide (NO2), sulphur dioxide (SO2) and carbon monoxide (CO) are associated with air pollution and climate change. In sub-Saharan Africa, a lack of sufficient ground-based and aircraft observations has, for a long time, limited the study of these species. This study thus utilized satellite observations as an alternative source of data to study the abundance of these species over the East African region. The instruments used included the Ozone Monitoring Instrument (OMI), the Atmospheric InfraRed Sounder (AIRS), and the TROPOspheric Monitoring Instrument (TROPOMI). An investigation of trends in the data series from 2005 to 2020 was carried out using the sequential Mann-Kendall test while the Pearson correlation coefficient was used to compare the data records of the instruments. The analysis revealed no trend in NO2 (p &gt, 0.05), a decreasing trend in SO2 (p &lt, 0.05), a decreasing trend (p &lt, 0.05) in CO closer to the surface (850 hPa to 500 hPa) and an increasing trend (p &lt, 0.05) in CO higher up in the atmosphere (400 hPa to 1 hPa). There is likely a vertical ascent of CO. The correlation between the instrument records was 0.54 and 0.77 for NO2 and CO, respectively. Furthermore, seasonal fires in the savanna woodlands were identified as the major source of NO2 and CO over the region, while cities such as Kampala, Nairobi, and Bujumbura and towns such as Dar es Salaam and Mombasa were identified as important NO2 hotspots. Similarly, the active volcano at Mt. Nyiragongo near Goma was identified as the most important SO2 hotspot.

Published
2021

12. Evidence of Artemisinin-Resistant Malaria in Africa

Author

Osbert T. Katuro, Emmanuel I. Odongo-Aginya, Sakurako Emoto, Shin-Ichiro Tachibana, Nirianne Marie Q. Palacpac, Martin D. Ogwang, Eisaku Kimura, Toshihiro Mita, Naoyuki Fukuda, Masato Yamauchi, Mie Ikeda, Denis A Anywar, Betty Balikagala, Walter Opio, and Toshihiro Horii

Subjects
Plasmodium falciparum, Drug Resistance, Protozoan Proteins, chemical and pharmacologic phenomena, Southeast asian, Polymorphism, Single Nucleotide, Antimalarials, parasitic diseases, medicine, Humans, Uganda, Longitudinal Studies, Artemisinin, Malaria, Falciparum, biology, Traditional medicine, business.industry, General Medicine, medicine.disease, biology.organism_classification, Artemisinins, Mutation, business, Malaria, medicine.drug
Abstract

In the six Southeast Asian countries that make up the Greater Mekong Subregion,In this longitudinal study conducted in Northern Uganda, we treated patients who hadFrom 2017 through 2019, a total of 14 of 240 patients who received intravenous artesunate had evidence of in vivo artemisinin resistance (parasite clearance half-life,5 hours). Of these 14 patients, 13 were infected withThe independent emergence and local spread of clinically artemisinin-resistant

Published
2021

13. The burden of drug resistant tuberculosis in a predominantly nomadic population in Uganda: a mixed methods study

Author

Peter Lochoro, Sandra Nabatanzi, Brenda Nakafeero Simbwa, Emmanuel Sendaula, Jerry Ictho, Denis Opio, Achilles Katamba, Eva Laker, Elizabeth B. Katana, William Worodria, Charles Karamagi, and Joan N. Kalyango

Subjects
medicine.medical_specialty, Low prevalence, Tuberculosis, Cross-sectional study, Gene-Xpert, Population, Antitubercular Agents, Infectious and parasitic diseases, RC109-216, Nomadic, Environmental health, Tuberculosis, Multidrug-Resistant, Prevalence, Humans, Medicine, Drug stock out, Uganda, education, education.field_of_study, GeneXpert MTB/RIF, business.industry, Research, Public health, Incidence (epidemiology), Mycobacterium tuberculosis, Odds ratio, medicine.disease, Stigma, Cross-Sectional Studies, Infectious Diseases, Case-Control Studies, Health education, Rifampin, Alcohol, business, Drug resistant Tuberculosis, Karamoja
Abstract

Background Emergence of drug resistant tuberculosis (DR-TB) has aggravated the tuberculosis (TB) public health burden worldwide and especially in low income settings. We present findings from a predominantly nomadic population in Karamoja, Uganda with a high-TB burden (3500 new cases annually) and sought to determine the prevalence, patterns, factors associated with DR-TB. Methods We used mixed methods of data collection. We enrolled 6890 participants who were treated for tuberculosis in a programmatic setting between January 2015 and April 2018. A cross sectional study and a matched case control study with conditional logistic regression and robust standard errors respectively were used to the determine prevalence and factors associated with DR-TB. The qualitative methods included focus group discussions, in-depth interviews and key informant interviews. Results The overall prevalence of DR-TB was 41/6890 (0.6%) with 4/64,197 (0.1%) among the new and 37/2693 (1.4%) among the previously treated TB patients respectively. The drug resistance patterns observed in the region were mainly rifampicin mono resistant (68.3%) and Multi Drug-Resistant Tuberculosis (31.7%). Factors independently associated with DR-TB were previous TB treatment, adjusted odds ratio (aOR) 13.070 (95%CI 1.552–110.135) and drug stock-outs aOR 0.027 (95%CI 0.002–0.364). The nomadic lifestyle, substance use, congested homesteads and poor health worker attitudes were a great challenge to effective treatment of TB. Conclusion Despite having the highest national TB incidence, Karamoja still has a low DR-TB prevalence. Previous TB treatment and drug stock outs were associated with DR-TB. Regular supply of anti TB medications and health education may help to stem the burden of TB disease in this nomadic population.

Published
2021

14. Prevalence of Mental Disorders in Uganda: a Systematic Review and Meta-Analysis

Author

Zachary Munn, Edoardo Aromataris, and John Nelson Opio

Subjects
Adult, medicine.medical_specialty, business.industry, Public health, Mental Disorders, PsycINFO, Anxiety Disorders, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, Prevalence of mental disorders, Meta-analysis, Epidemiology, medicine, Prevalence, Anxiety, Humans, Uganda, medicine.symptom, Psychiatry, business, Grading (education), Child, Depression (differential diagnoses)
Abstract

This systematic review was conducted to determine the prevalence of mental disorders among children and adults in Uganda. A comprehensive systematic search for relevant studies reporting prevalence of mental disorders in children or adults in Uganda was conducted in PubMed, Embase, PsycINFO, Scopus, Web of Science databases and grey literature sources. Study was eligible if, validated instrument based on the International Classification of Diseases or Diagnostic and Statistical Manual of Mental Disorders criteria to assess a mental disorder was used. Eligible studies were critically appraised, prevalence data extracted and pooled using the random-effects model. Certainty in the pooled prevalence estimates was evaluated using the Grading of Recommendation, Assessment, Development and Evaluation approach. A total of 632 records were obtained, of which 26 articles from 24 studies conducted in Uganda were included in the review. Overall and with moderate level of certainty, the prevalence of any mental disorder in Uganda was 22.9% (95% C.I 11.0% – 34.9%) in children and 24.2% (95% C.I 19.8% – 28.6%) in adults. Prevalence of anxiety disorders was 14.4% (95% C.I 4.9% – 24.0%) in children and 20.2% (95% C.I 14.5% – 25.9%) in adults. The prevalence of current depressive disorders was 22.2% (95% C.I 9.2% – 35.2%) in children and 21.2% (95% C.I 16.8% – 25.6%) in adults. Eating disorder and psychotic syndrome disorder were also reported. Our findings suggest that depression and anxiety disorders are common mental disorders in Uganda, affecting approximately one in four persons. The findings provide essential insights for health service planning, clinical practice, and future epidemiological research in Uganda.

Published
2021

15. Do Black, Asian and Minority Ethnic nurses and midwives experience a career delay? A cross-sectional survey investigating career progression barriers

Author

Judith Johnson, Laura Serrant, Gail Opio-te, Mayur Parmar, Angela Grange, and Lucy Mitchinson

Subjects
medicine.medical_specialty, 030504 nursing, Cross-sectional study, media_common.quotation_subject, Ethnic group, Nurses, Midwifery, 03 medical and health sciences, Cross-Sectional Studies, 0302 clinical medicine, Nursing, Pregnancy, Family medicine, Workforce, Ethnicity, medicine, Humans, Female, 030212 general & internal medicine, 0305 other medical science, Psychology, Minority Groups, General Nursing, Diversity (politics), media_common
Abstract

Background Black, Asian and Minority Ethnic nurses and midwives are under-represented in higher and managerial roles. Aims This study explored the presence and nature of career progression delays for Black, Asian and Minority Ethnic nurses and midwives and investigated where the barriers to progression were. Design A secondary analysis of data from a wider cross-sectional survey investigating workplace experiences, burnout and patient safety in nurses and midwives. Methods 538 nurses and midwives were recruited from four UK hospitals between February and March 2017. A career progression delay was viewed as being present if Black, Asian and Minority Ethnic nurses and midwives had spent longer on the entry level nursing grade and less time on higher grades in the previous 10 years. The analysis included items pertaining to: receipt of professional training, perceived managerial support for progression, likelihood of submitting applications and application success rates. Data were analysed using linear regression, odds ratios and t-tests. Results were reported using the STROBE Checklist. Results Black, Asian and Minority Ethnic nurses and midwives (n = 104; 19.4%) had spent more months working at the entry-level grade (M = 75.75, SD = 44.90) than White nurses and midwives (n = 428; 79.7%; M = 41.85, SD = 44.02, p

Published
2021

16. Mapping HIV prevalence in sub-Saharan Africa between 2000 and 2017

Author

Roy Burstein, Austin Carter, Christopher J L Murray, Robert Reiner, Peter Piot, Jason B. Hall, Alex Opio, John D. VanderHeide, Benn Sartorius, Nathaniel J Henry, Michael A. Cork, Benjamin K. Mayala, Lauren E. Schaeffer, Molly R Nixon, Charbel El Bcheraoui, Krista M. Steuben, Laura Dwyer-Lindgren, Damaris K. Kinyoki, Tamer H. Farag, Lucas Earl, Laurie B. Marczak, Simon I. Hay, Jessica Justman, Jennifer M. Ross, Aniruddha Deshpande, Michael Collison, Kirsten E. Wiens, Jeffrey W. Eaton, Daniel C Casey, Amber Sligar, Nicole Davis Weaver, Dirk Douwes-Schultz, Tahvi Frank, Njeri Wabiri, Katherine F. Wilson, David L. Smith, Molly H Biehl, Aaron Osgood-Zimmerman, Frank Tanser, David M. Pigott, Naomi R. Provost, and National Institutes of Health

Subjects
0301 basic medicine, Male, Epidemiology, Psychological intervention, Geographic Mapping, HIV Infections, 0302 clinical medicine, ANTIRETROVIRAL THERAPY, Prevalence, 030212 general & internal medicine, Young adult, Multidisciplinary, Geography, virus diseases, Middle Aged, Hiv prevalence, Multidisciplinary Sciences, Science & Technology - Other Topics, HIV/AIDS, SEX, Female, TERRITORIES, Public Health, Adult, medicine.medical_specialty, Sub saharan, Adolescent, General Science & Technology, 195 COUNTRIES, Article, 03 medical and health sciences, Young Adult, Acquired immunodeficiency syndrome (AIDS), SURVEILLANCE, parasitic diseases, medicine, SYSTEMATIC ANALYSIS, Humans, Disease burden, Africa South of the Sahara, Science & Technology, MORTALITY, POPULATION-BASED SURVEYS, GLOBAL BURDEN, medicine.disease, Local variation, 030104 developmental biology, Demography
Abstract

HIV/AIDS is a leading cause of disease burden in sub-Saharan Africa. Existing evidence has demonstrated that there is substantial local variation in the prevalence of HIV; however, subnational variation has not been investigated at a high spatial resolution across the continent. Here we explore within-country variation at a 5 × 5-km resolution in sub-Saharan Africa by estimating the prevalence of HIV among adults (aged 15–49 years) and the corresponding number of people living with HIV from 2000 to 2017. Our analysis reveals substantial within-country variation in the prevalence of HIV throughout sub-Saharan Africa and local differences in both the direction and rate of change in HIV prevalence between 2000 and 2017, highlighting the degree to which important local differences are masked when examining trends at the country level. These fine-scale estimates of HIV prevalence across space and time provide an important tool for precisely targeting the interventions that are necessary to bringing HIV infections under control in sub-Saharan Africa., Fine-scale estimates of the prevalence of HIV in adults across sub-Saharan Africa reveal substantial within-country variation and local differences in both the direction and rate of change in the prevalence of HIV between 2000 and 2017.

Published
2019

17. Addressing the First Delay in Saving Mothers, Giving Life Districts in Uganda and Zambia: Approaches and Results for Increasing Demand for Facility Delivery Services

Author

Frank Kaharuza, Agnes Nalutaaya, Vincent Kamara, Susanna Binzen, Curtis Blanton, Fredrick Luwaga, Brenda Picho, Alice R. Asiimwe, Mary M. Goodwin, Leoda Hamomba, Mona Steffen, Florina Serbanescu, Claudia Morrissey Conlon, Diane Morof, Laura Kelly, Gregory Opio, Jessica Healey, and Christina Wakefield

Subjects
medicine.medical_specialty, Population, Zambia, 03 medical and health sciences, 0302 clinical medicine, Health facility, Pregnancy, Environmental health, Medicine, Childbirth, Humans, Maternal Health Services, Uganda, 030212 general & internal medicine, education, education.field_of_study, 030219 obstetrics & reproductive medicine, Community engagement, business.industry, Public health, Infant, Newborn, General Medicine, Original Articles, Delivery, Obstetric, Outreach, Incentive, Maternal Mortality, Maternal Death, Female, business, Postpartum period
Abstract

The Saving Mothers, Giving Life initiative used 3 coordinated approaches to reduce maternal deaths resulting from a delay in deciding to seek health care, known as the “first delay”: (1) promoting safe motherhood messages and facility delivery using radio, theater, and community engagement; (2) encouraging birth preparedness and increasing demand for facility delivery through community outreach worker visits; and (3) providing clean delivery kits and transportation vouchers to reduce financial barriers for facility delivery. These approaches can be adapted in other low-resource settings to reduce maternal and perinatal mortality., Saving Mothers, Giving Life (SMGL), a 5-year initiative implemented in selected districts in Uganda and Zambia, was designed to reduce deaths related to pregnancy and childbirth by targeting the 3 delays to receiving appropriate care at birth. While originally the “Three Delays” model was designed to focus on curative services that encompass emergency obstetric care, SMGL expanded its application to primary and secondary prevention of obstetric complications. Prevention of the “first delay” focused on addressing factors influencing the decision to seek delivery care at a health facility. Numerous factors can contribute to the first delay, including a lack of birth planning, unfamiliarity with pregnancy danger signs, poor perceptions of facility care, and financial or geographic barriers. SMGL addressed these barriers through community engagement on safe motherhood, public health outreach, community workers who identified pregnant women and encouraged facility delivery, and incentives to deliver in a health facility. SMGL used qualitative and quantitative methods to describe intervention strategies, intervention outcomes, and health impacts. Partner reports, health facility assessments (HFAs), facility and community surveillance, and population-based mortality studies were used to document activities and measure health outcomes in SMGL-supported districts. SMGL's approach led to unprecedented community outreach on safe motherhood issues in SMGL districts. About 3,800 community health care workers in Uganda and 1,558 in Zambia were engaged. HFAs indicated that facility deliveries rose significantly in SMGL districts. In Uganda, the proportion of births that took place in facilities rose from 45.5% to 66.8% (47% increase); similarly, in Zambia SMGL districts, facility deliveries increased from 62.6% to 90.2% (44% increase). In both countries, the proportion of women delivering in facilities equipped to provide emergency obstetric and newborn care also increased (from 28.2% to 41.0% in Uganda and from 26.0% to 29.1% in Zambia). The districts documented declines in the number of maternal deaths due to not accessing facility care during pregnancy, delivery, and the postpartum period in both countries. This reduction played a significant role in the decline of the maternal mortality ratio in SMGL-supported districts in Uganda but not in Zambia. Further work is needed to sustain gains and to eliminate preventable maternal and perinatal deaths.

Published
2019

18. The diagnostic accuracy of routine clinical findings for detection of esophageal varices in rural sub-Saharan Africa where schistosomiasis is endemic

Author

Ponsiano Ocama, Christopher Kenneth Opio, Francis Kazibwe, and Lalitha Rejani

Subjects
Adult, Male, Rural Population, Pediatrics, medicine.medical_specialty, Blood transfusion, medicine.medical_treatment, 030231 tropical medicine, Schistosomiasis, Diagnostic accuracy, Esophageal and Gastric Varices, 03 medical and health sciences, Liver disease, 0302 clinical medicine, Esophageal varices, medicine, Humans, Africa South of the Sahara, Aged, medicine.diagnostic_test, business.industry, Reproducibility of Results, General Medicine, Articles, Middle Aged, medicine.disease, 3. Good health, Endoscopy, Diagnostic Techniques, Digestive System, The diagnostic accuracy of routine clinical findings for detection of esophageal varices in rural sub-Saharan Africa where schistosomiasis is endemic, Regression Analysis, Female, Upper gastrointestinal bleeding, Varices, business
Abstract

Background: Variceal upper gastrointestinal bleeding (UGIB) is common in sub-Saharan Africa (SSA). However, poor access to endoscopy services precludes the diagnosis of varices.Objectives: We determined the diagnostic accuracy of routine clinical findings for detection of esophageal varices among patients with UGIB in rural SSA where schistosomiasis is endemic.Methods: We studied patients with a history of UGIB. The index tests included routine clinical findings and the reference test was diagnostic endoscopy. Multivariable regression with post-estimation provided measures of association and diagnostic accuracy.Results: We studied 107 participants with UGIB and 21% had active bleeding. One hundred and three (96%) had liver disease and 86(80%) varices. Factors associated with varices (p-value 90% in detection of varices with a number needed to misdiagnose of 13(number of patients who needed to be tested in order for one to be misdiagnosed by the test).Conclusion: Where access to endoscopy is limited, routine clinical findings could improve the diagnosis of patients with UGIB in Africa.Keywords: The diagnostic accuracy of routine clinical findings for detection of esophageal varices in rural sub-Saharan Africa where schistosomiasis is endemic.

Published
2019

19. Barriers and Facilitators of Art Adherence Among Hiv Positive Patients in Community Client-led Art Delivery Groups at Lira Regional Referral Hospital

Author

Sharon Opio-Ekit, Luke Lokiru, Robert Isoke, Didan Jacob Opii, Edward Kumakech, Rogers Isabirye, Joachim Ssenkaali, Celestino Obua, Alice kawomera, and Steven Sean Puleh

Subjects
medicine.medical_specialty, Referral, business.industry, Family medicine, medicine, Human immunodeficiency virus (HIV), Lira, medicine.disease_cause, business, Art adherence
Abstract

Background: The community client-led ART delivery groups (CCLADs) was introduced as one of the strategies to better serve individual needs and reduce unnecessary burdens on the health system. However, no study has comprehensively explained what are the drivers and barriers of CCLADs in improving treatment outcomes. This study sought to assess the barriers and facilitators of ART adherence among HIV positive patients attending CCLADs at Lira Regional Referral Hospital (LRRH), Lira District.Method: We employed a mixed methodology involving 150 study participants between July to August 2020. Quantitative data was obtained from all the participants that were picked through systematic random sampling using a semi-structured questionnaire. Data was entered into SPSS version 23.0 and analyzed at 95% level of significance. We conducted 25 in-depth interviews guided by a checklist. Qualitative data was analyzed through thematic content analysis of major themes that emerged from participants’ responses.Results: Our study found that majority 94.7% (142/150) of the respondents had an optimal adherence (100%) calculated retrospectively based on a 4-day pill uptake recall. In addition, 39.3% (59/150) of participants in CCLADs at LRRH had missed taking a pill in a period of at least 4 weeks. Among all the 104 respondents that had ever missed a medication, the most frequent reason (35% (35/104)) for missing a medication was travelling far away.From qualitative data, social support, patient self-motivation, health education and counselling and guidance were the major facilitators to adherence. On the other hand, lack of food, stigma, forgetfulness, stress, unfair hospital staffs and cultural beliefs were the major perceived barriers to ART adherence.Conclusion/recommendation: Good adherence was attributed to availability of ART at the clinic and an efficient delivery strategy. More health care follow up interventions should be designed to ensure total pill uptake by PLWHIV in communities.

Published
2021

20. Hepatitis C virus in sub-Saharan Africa: a long road to elimination

Author

Dennis A Ndububa, Nicolas Kodjoh, Lucy Marowa, Francis Alikah, Tony Akilimali Shindano, Christopher K Opio, Emmanuel Seremba, Mulinda Nyirenda, Leolin Katsidzira, Deborah U. Ehichioya, E. Thomson, Raimi Aboudou Kpossou, Lucy Asamoah-Akuoko, Peter John Finch, Yorou Chabi Orou Bagou, Ponsiano Ocama, Jean Damascene Makuza, Sulaiman Lakoh, Charles Nlombi Mbendi, Rajiv Shah, Adwoah Agyei-Nkansah, and Abdirahman Dhiblawe

Subjects
Sub saharan, Hepatology, business.industry, Incidence, Hepatitis C virus, Gastroenterology, virus diseases, Hepacivirus, medicine.disease_cause, Antiviral Agents, Hepatitis C, Virology, digestive system diseases, Humans, Medicine, business, Africa South of the Sahara
Abstract

The development of direct-acting antivirals against hepatitis C virus (HCV) has transformed the treatment landscape and underpinned the WHO goal of HCV elimination by 2030. However, as of 2021, few countries remain on track to achieve this goal. Reliable data remain scarce, especially those on national plans for HCV elimination in many regions of the world and particularly in sub-Saharan Africa, which accounts for around 11 million of 71 million people estimated to be living with HCV.

Published
2021

21. One-year Incidence and Standardized Mortality Rates for Esophageal Squamous Cell Carcinoma in Uganda

Author

Suzan Joan Akello, Christiani C. David, Ponsiano Ocama, Boniface Amanee Elias Lumori, Christopher Kenneth Opio, Emmanuel Dwomoh, Kathleen E. Corey, Emmanuel B. Byaruhanga, Winnie Muyindike, and Samson Okello

Subjects
medicine.medical_specialty, business.industry, Mortality rate, Internal medicine, Incidence (epidemiology), Medicine, business, Esophageal squamous cell carcinoma, Gastroenterology
Abstract

Background: Little is known about the survival of patients with esophageal squamous cell cancer in resource limited settings.Objectives: We sought to determine the incidence of one-year all-cause mortality and age-standardized mortality rates for esophageal squamous cell carcinoma in Uganda.Methods: Prospective cohort of 92 participants with histologically confirmed esophageal squamous cell cancer at Mbarara Regional Referral Hospital, southwestern Uganda. Participants were enrolled between January 2018 and March 2020 and followed until death. We used Kaplan-Meier methods to determine all-cause mortality and median survival time; Cox regression to determine predictors of survival; and determined age-standardized mortality rates (SMR) using the WHO standard population. Results: All 92 participants contributed a total 353.8 months at risk, 89 (96.7%) died representing an incidence rate of 251.5 (95% CI 204.3, 309.6) per 1000 person-months. The difference in the one-year risk of all-cause mortality among men and women was negative 6.4 percentage points. The overall SMR was 9.96 (95%CI 7.63, 12.29) per 100,000 and median survival time was 3.03 (95% CI 2.60, 3.47), shortest (1.77 months) among men younger than 45 and longest (7.77 months) among women aged 75 years or greater. In a fully adjusted model, high socioeconomic status predicted longer survival while increasing age and low socioeconomic status predicted shorter survival.Conclusion: After diagnosis, the one-year incidence rates of all-cause mortality and age-standardized mortality rates among ESCC patients in rural Uganda are high. Initiatives to improve access to oncology care for diagnosis and treatment should be prioritized to improve overall survival.

Published
2021

22. Cryptococcal Antigen Screening Among Antiretroviral Therapy–Experienced People With HIV With Viral Load Nonsuppression in Rural Uganda

Author

Joel Peter Opio, Jane Nakaweesi, Barbara Mukasa, Catherine Senyimba, Pallen Mugabe, Joseph Baruch Baluku, and Shem Mwebaza

Subjects
0301 basic medicine, medicine.medical_specialty, Cryptococcal antigen, 030106 microbiology, Population, Human immunodeficiency virus (HIV), ART-experienced, Disease, medicine.disease_cause, Major Articles, 03 medical and health sciences, 0302 clinical medicine, cryptococcal meningitis, Disease Screening, Internal medicine, medicine, 030212 general & internal medicine, education, nonsuppression, education.field_of_study, business.industry, HIV, CrAg, Antiretroviral therapy, viral load, AcademicSubjects/MED00290, Infectious Diseases, Oncology, business, Viral load, Fluconazole, medicine.drug
Abstract

Background The World Health Organization recommends screening for the cryptococcal antigen (CrAg), a predictor of cryptococcal meningitis, among antiretroviral therapy (ART)–naïve people with HIV (PWH) with CD4 Methods We reviewed routinely generated programmatic reports on cryptococcal disease screening from 104 health facilities in 8 rural districts of Uganda from January 2018 to July 2019. A lateral flow assay (IMMY CrAg) was used to screen for cryptococcal disease. PWH were eligible for CrAg screening if they were ART-naïve with CD4 1000 copies/mL after at least 6 months of ART. We used Pearson’s chi-square test to compare the frequency and yield of CrAg screening. Results Of 71 860 ART-experienced PWH, 7210 (10.0%) were eligible for CrAg screening. Among 15 417 ART-naïve PWH, 5719 (37.1%) had a CD4 count measurement, of whom 937 (16.4%) were eligible for CrAg screening. The frequency of CrAg screening was 11.5% (830/7210) among eligible ART-experienced PWH compared with 95.1% (891/937) of eligible ART- naïve PWH (P Conclusions The low frequency and high positivity yield of CrAg screening among ART-experienced PWH with VL nonsuppression suggest a need for VL- directed CrAg screening in this population. Studies are needed to evaluate the cost-effectiveness and impact of CrAg screening and fluconazole prophylaxis on the outcomes of ART-experienced PWH with VL nonsuppression.

Published
2021

23. Uganda’s increasing dependence on development partner’s support for immunization – a five year resource tracking study (2012 – 2016)

Author

Peter Waiswa, Gilbert Asiimwe, Christabel Abewe, Faith Namugaya, Charles Opio, Immaculate Ampeire, Carol Kamya, Stephen Lagony, and Charlotte Muheki

Subjects
medicine.medical_specialty, Resource mobilization, Resource (biology), Gavi, 030231 tropical medicine, Distribution (economics), Resource tracking, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Uganda, 030212 general & internal medicine, Human resources, Socioeconomics, Government, Immunization Programs, business.industry, lcsh:Public aspects of medicine, Public health, Vaccination, Public Health, Environmental and Occupational Health, Reproducibility of Results, lcsh:RA1-1270, Immunization (finance), biochemical phenomena, metabolism, and nutrition, Private sector, Sustainability, bacteria, Immunization, Financial flows, Financing, business, Research Article
Abstract

Background In Uganda, there are persistent weaknesses in obtaining accurate, reliable and complete data on local and external investments in immunization to guide planning, financing, and resource mobilization. This study aimed to measure and describe the financial envelope for immunization from 2012 to 2016 and analyze expenditures at sub-national level. Methods The Systems of Health Accounts (SHA) 2011 methodology was used to quantify and map the resource envelope for immunization. Data was collected at national and sub-national levels from public and external sources of immunization. Data were coded, categorized and disaggregated by expenditure on immunization activities using the SHA 2011. Results Over the five-year period, funding for immunization increased fourfold from US$20.4 million in 2012 to US$ 85.6 million in 2016. The Ugandan government was the main contributor (55%) to immunization resources from 2012 to 2014 however, Gavi, the Vaccine Alliance contributed the majority (59%) of the resources to immunization in 2015 and 2016. Majority (66%) of the funds were managed by the National Medical Stores. Over the five-year period, 80% of the funds allocated to immunization activities were spent on facility based routine immunization (expenditure on human resources and outreaches). At sub-national level, districts allocated 15% of their total annual resources to immunization to support supervision of lower health facilities and distribution of vaccines. Health facilities spent 5.5% of their total annual resources on immunization to support outreaches. Conclusion Development partner support has aided the improvement of vaccine coverage and increased access to vaccines however, there is an increasing dependence on this support for a critical national program raising sustainability concerns alongside other challenges like being off-budget and unpredictable. To ensure financial sustainability, there is need to operationalize the immunization fund, advocate and mobilize additional resources for immunization from the Government of Uganda and the private sector, increase the reliability of resources for immunization as well as leverage on health financing reforms like the National Health Insurance.

Published
2021

24. Incidence, Clinical Characteristics and Management of Inflammatory Bowel Disease in Spain: Large-Scale Epidemiological Study

Author

Chaparro, María, Garre, Ana, Núñez Ortiz, Andrea, Diz-Lois Palomares, María Teresa, Rodríguez, Cristina, Riestra, Sabino, Vela, Milagros, Benítez, José Manuel, Fernández Salgado, Estela, Sánchez Rodríguez, Eugenia, Hernández, Vicent, Ferreiro-Iglesias, Rocío, Ponferrada Díaz, Ángel, Barrio, Jesús, Huguet, José María, Sicilia, Beatriz, Martín-Arranz, María Dolores, Calvet, Xavier, Ginard, Daniel, Alonso-Abreu, Inmaculada, Fernández-Salazar, Luis, Varela Trastoy, Pilar, Rivero, Montserrat, Vera-Mendoza, Isabel, Vega, Pablo, Navarro, Pablo, Sierra, Mónica, Cabriada, José Luis, Aguas, Mariam, Vicente, Raquel, Navarro-Llavat, Mercè, Echarri, Ana, Gomollón, Fernando, Guerra Del Río, Elena, Piñero, Concepción, Casanova, María José, Spicakova, Katerina, Ortiz de Zarate, Jone, Torrella Cortés, Emilio, Gutiérrez, Ana, Alonso-Galán, Horacio, Hernández-Martínez, Álvaro, Marrero, José Miguel, Lorente Poyatos, Rufo, Calafat, Margalida, Martí Romero, Lidia, Robledo, Pilar, Bosch, Orencio, Jiménez, Nuria, Esteve Comas, María, Duque, José María, Fuentes Coronel, Ana María, Josefa Sampedro, Manuela, Sesé Abizanda, Eva, Herreros Martínez, Belén, Pozzati, Liliana, Fernández Rosáenz, Hipólito, Crespo Suarez, Belén, López Serrano, Pilar, Lucendo, Alfredo J, Muñoz Vicente, Margarita, Bermejo, Fernando, Ramírez Palanca, José Joaquín, Menacho, Margarita, Carmona, Amalia, Camargo, Raquel, Torra Alsina, Sandra, Maroto, Nuria, Nerín de la Puerta, Juan, Castro, Elena, Marín-Jiménez, Ignacio, Botella, Belén, Sapiña, Amparo, Cruz, Noelia, Forcelledo, José Luis F, Bouhmidi, Abdel, Castaño-Milla, Carlos, Opio, Verónica, Nicolás, Isabel, Kutz, Marcos, Abraldes Bechiarelli, Alfredo, Gordillo, Jordi, Ber, Yolanda, Torres Domínguez, Yolanda, Novella Durán, María Teresa, Rodríguez Mondéjar, Silvia, Martínez-Cerezo, Francisco J, Kolle, Lilyan, Sabat, Miriam, Ledezma, Cesar, Iyo, Eduardo, Roncero, Óscar, Irisarri, Rebeca, Lluis, Laia, Blázquez Gómez, Isabel, Zapata, Eva María, José Alcalá, María, Martínez Pascual, Cristina, Montealegre, María, Mata, Laura, Monrobel, Ana, Hernández Camba, Alejandro, Hernández, Luis, Tejada, María, Mir, Alberto, Galve, María Luisa, Soler, Marta, Hervías, Daniel, Gómez-Valero, José Antonio, Barreiro-de Acosta, Manuel, Rodríguez-Artalejo, Fernando, García-Esquinas, Esther, Gisbert, Javier P, On Behalf Of The EpidemIBD Study Group Of Geteccu, and Servicio de Digestivo. Hospital Universitario de Fuenlabrada

Subjects
Crohn’s disease, medicine.medical_specialty, Population, Disease, Inflammatory bowel disease, digestive system, Article, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, inflammatory bowel disease, Internal medicine, Epidemiology, Medicine, education, Crohn’s disease, epidemiology, incidence, inflammatory bowel disease, ulcerative colitis, ulcerative colitis, Crohn's disease, education.field_of_study, business.industry, Incidence (epidemiology), General Medicine, medicine.disease, Ulcerative colitis, digestive system diseases, 030220 oncology & carcinogenesis, incidence, 030211 gastroenterology & hepatology, epidemiology, business
Abstract

(1) Aims: To assess the incidence of inflammatory bowel disease (IBD) in Spain, to describe the main epidemiological and clinical characteristics at diagnosis and the evolution of the disease, and to explore the use of drug treatments. (2) Methods: Prospective, population-based nationwide registry. Adult patients diagnosed with IBD—Crohn’s disease (CD), ulcerative colitis (UC) or IBD unclassified (IBD-U)—during 2017 in Spain were included and were followed-up for 1 year. (3) Results: We identified 3611 incident cases of IBD diagnosed during 2017 in 108 hospitals covering over 22 million inhabitants. The overall incidence (cases/100,000 person-years) was 16 for IBD, 7.5 for CD, 8 for UC, and 0.5 for IBD-U, 53% of patients were male and median age was 43 years (interquartile range = 31–56 years). During a median 12-month follow-up, 34% of patients were treated with systemic steroids, 25% with immunomodulators, 15% with biologics and 5.6% underwent surgery. The percentage of patients under these treatments was significantly higher in CD than UC and IBD-U. Use of systemic steroids and biologics was significantly higher in hospitals with high resources. In total, 28% of patients were hospitalized (35% CD and 22% UC patients, p &lt, 0.01). (4) Conclusion: The incidence of IBD in Spain is rather high and similar to that reported in Northern Europe. IBD patients require substantial therapeutic resources, which are greater in CD and in hospitals with high resources, and much higher than previously reported. One third of patients are hospitalized in the first year after diagnosis and a relevant proportion undergo surgery.

Published
2021

25. Global prevalence, treatment, and prevention of hepatitis B virus infection in 2016: a modelling study

Author

Mei Hsuan Lee, Maurizia Rossana Brunetto, Stefan Mauss, Sabahattin Kaymakoglu, CE Omuemu, Danjuma Adda, Philip Bruggmann, Beat Müllhaupt, Trân D Quang, Peter Jarcuska, Man-Fung Yuen, George V. Papatheodoridis, Rohani Jahis, Ding-Shinn Chen, Necati Örmeci, Christophe Moreno, Angelos Hatzakis, Antoine Abou Rached, Boris Lukšić, Thomas Berg, Renovat Ntagirabiri, Kathryn Razavi-Shearer, Sarah Blach, Gabriela Rjaskova, Samantha M Brandon, Jen Layden, Ohene Opare-Sem, Maria C Mendes Correa, Stefano Vella, Jan Sperl, Vincent Wai-Sun Wong, Hwai I. Yang, Stephen Oguche, Richard Njouom, Cielo Yaneth Rios, Yee Tak Hui, Behzad Hajarizadeh, Andy I. M. Hoepelman, Javier García-Samaniego, Ammal M. Metwally, Ivane Gamkrelidze, Julia A. Scott, Said A. Al-Busafi, Valentina Liakina, Zaigham Abbas, Olga Sagalova, Rifaat Safadi, Michael Manns, William Sievert, Seyed M Alavian, Kakharman Yesmembetov, Manal H El-Sayed, Juan Francisco Sánchez-Ávila, Wan-Long Chuang, Peter Stärkel, Ziv Ben-Ari, Chris Cunningham, Homie Razavi, Erkin Musabaev, Ulus Salih Akarca, Petr Urbánek, Gamal Shiha, Muhammed Aasim M Yusuf, Nina Weis, Hossein Poustchi, Ilias Gountas, E. A. Croes, Ayman Yosry, Reza Malekzadeh, Kostas Athanasakis, Agustín Albillos, Faleh Z. Al-Faleh, Christoph Sarrazin, Maria Buti, Arif Nawaz, Chung-Lin Yang, Kimberly Murphy, Adriana Vince, Aliya Konysbekova, Soek Siam Tan, Loreta A. Kondili, Mojca Matičič, Karolin Falconer, Hailemichael Desalegn, Alexander Nersesov, Ogu Omede, N. N. Pimenov, Nahum Méndez-Sánchez, Benjamin C Cowie, Helen Nde, Wai-cheung C Lao, Jordan Genov, Imam Waked, Joël Mossong, Ala I. Sharara, Henry Lik-Yuen Chan, Vivek A. Saraswat, Diego Alberto Cuellar, Devin Razavi-Shearer, Abraham O. Malu, Rui Tato Marinho, Huma Qureshi, Markus Cornberg, Faisal M. Sanai, Ching-kong K Loo, David Kershenobich, Pavol Kristian, Paulo R. Ferreira, Mel Krajden, Moon Seok Choi, Junko Tanaka, Faryal Al Lawati, Jonathan Schmelzer, Ann-Sofi Duberg, Jan Gerstoft, Lewis R. Roberts, Francesco Negro, Khalid Al Naamani, Wim Laleman, Solomon Obekpa, Henk W. Reesink, Tesia Shin, Richard Gray, Alnoor Ramji, Fadi H. Mourad, Abdul Rahman Bizri, Joop E. Arends, Shahin Merat, Krzysztof Tomasiewicz, Adkhamjon Mamatkulov, Jerzy Jaroszewicz, Peer Brehm Christensen, Adriaan J. van der Meer, Maheeba Abdulla, Frank Tacke, Cesar Yaghi, Pierre Van Damme, Christopher K Opio, Yasir Waheed, Joseph Woodring, Ponsiano Ocama, Zuridin Nurmatov, Bisi Bright, Van Thi Thuy Nguyen, Perttu Arkkila, Nick Walsh, Catherine A.M. Stedman, Mette Rye Clausen, Vladimir Chulanov, Antonio Craxì, Christophe Hézode, Abdulrahman Aljumah, Jeffrey V. Lazarus, Fuad Hasan, Sarah Robbins, Sona Frankova, Adrian Goldis, Rong-Nan Chien, Chris Estes, Stephen D. Ryder, Nguyen Thu Anh, Abate Bane, Muhammad S. Memon, Ken Pasini, Ivan Schréter, Sameer Alawadhi, Stuart K. Roberts, Steve S Egeonu, Anil C. Anand, Riina Salupere, Massimo Colombo, Giovanni Battista Gaeta, Maria Lucia Gomes Ferraz, Rosmawati Mohamed, Sylvia Drazilova, Hans Van Vlierberghe, Soo Aleman, Naveed Z. Janjua, Irena Hrstić, Manik Sharma, Carlos E Brandão Mello, Mario G. Pessoa, Berhane Redae, Mindie H. Nguyen, Petr Husa, Vana Sypsa, Samir Shah, Jacques E Mokhbat, Robert Flisiak, Carole Seguin-Devaux, Asad Chaudhry, Inka Aho, Sayed Himatt, Hamad I. Al-Ashgar, Young-Suk Lim, Stefan Zeuzem, University of Zurich, Polaris Observatory Collaborators, Polaris Observ Collaborators, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Experimental Immunology, Gastroenterology & Hepatology, Razavi-Shearer D, Gamkrelidze I, Nguyen MH, Chen DS, Van Damme P, Abbas Z, Abdulla M, Abou Rached A, Adda D, Aho I, Akarca U, Hasan F, Al Lawati F, Al Naamani K, Al-Ashgar HI, Alavian SM, Alawadhi S, Albillos A, Al-Busafi SA, Aleman S, Alfaleh FZ, Aljumah AA, Anand AC, Anh NT, Arends JE, Arkkila P, Athanasakis K, Bane A, Ben-Ari Z, Berg T, Bizri AR, Blach S, Brandão Mello CE, Brandon SM, Bright B, Bruggmann P, Brunetto M, Buti M, Chan HLY, Chaudhry A, Chien RN, Choi MS, Christensen PB, Chuang WL, Chulanov V, Clausen MR, Colombo M, Cornberg M, Cowie B, Craxi A, Croes EA, Cuellar DA, Cunningham C, Desalegn H, Drazilova S, Duberg AS, Egeonu SS, El-Sayed MH, Estes C, Falconer K, Ferraz MLG, Ferreira PR, Flisiak R, Frankova S, Gaeta GB, García-Samaniego J, Genov J, Gerstoft J, Goldis A, Gountas I, Gray R, Guimarães Pessôa M, Hajarizadeh B, Hatzakis A, Hézode C, Himatt SM, Hoepelman A, Hrstic I, Hui YT, Husa P, Jahis R, Janjua NZ, Jarčuška P, Jaroszewicz J, Kaymakoglu S, Kershenobich D, Kondili LA, Konysbekova A, Krajden M, Kristian P, Laleman W, Lao WC, Layden J, Lazarus JV, Lee MH, Liakina V, Lim YS, Loo CK, Lukšić B, Malekzadeh R, Malu AO, Mamatkulov A, Manns M, Marinho RT, Maticic M, Mauss S, Memon MS, Mendes Correa MC, Mendez-Sanchez N, Merat S, Metwally AM, Mohamed R, Mokhbat JE, Moreno C, Mossong J, Mourad FH, Müllhaupt B, Murphy K, Musabaev E, Nawaz A, Nde HM, Negro F, Nersesov A, Nguyen VTT, Njouom R, Ntagirabiri R, Nurmatov Z, Obekpa S, Ocama P, Oguche S, Omede O, Omuemu C, Opare-Sem O, Opio CK, Örmeci N, Papatheodoridis G, Pasini K, Pimenov N, Poustchi H, Quang TD, Qureshi H, Ramji A, Razavi-Shearer K, Redae B, Reesink HW, Rios CY, Rjaskova G, Robbins S, Roberts LR, Roberts SK, Ryder SD, Safadi R, Sagalova O, Salupere R, Sanai FM, Sanchez-Avila JF, Saraswat V, Sarrazin C, Schmelzer JD, Schréter I, Scott J, Seguin-Devaux C, Shah SR, Sharara AI, Sharma M, Shiha GE, Shin T, Sievert W, Sperl J, Stärkel P, Stedman C, Sypsa V, Tacke F, Tan SS, Tanaka J, Tomasiewicz K, Urbanek P, van der Meer AJ, Van Vlierberghe H, Vella S, Vince A, Waheed Y, Waked I, Walsh N, Weis N, Wong VW, Woodring J, Yaghi C, Yang HI, Yang CL, Yesmembetov K, Yosry A, Yuen MF, Yusuf MAM, Zeuzem S, Razavi H., Negro, Francesco, Razavi-Shearer, Devin, Gamkrelidze, Ivane, Nguyen, Mindie H, Chen, Ding-Shinn, Van Damme, Pierre, Abbas, Zaigham, Abdulla, Maheeba, Abou Rached, Antoine, Adda, Danjuma, Aho, Inka, Akarca, Ulu, Hasan, Fuad, Al Lawati, Faryal, Al Naamani, Khalid, Al-Ashgar, Hamad Ibrahim, Alavian, Seyed M, Alawadhi, Sameer, Albillos, Agustin, Al-Busafi, Said A, Aleman, Soo, Alfaleh, Faleh Z, Aljumah, Abdulrahman A, Anand, Anil C, Anh, Nguyen Thu, Arends, Joop E, Arkkila, Perttu, Athanasakis, Kosta, Bane, Abate, Ben-Ari, Ziv, Berg, Thoma, Bizri, Abdul R, Blach, Sarah, Brandão Mello, Carlos E, Brandon, Samantha M, Bright, Bisi, Bruggmann, Philip, Brunetto, Maurizia, Buti, Maria, Chan, Henry L Y, Chaudhry, Asad, Chien, Rong-Nan, Choi, Moon S, Christensen, Peer B, Chuang, Wan-Long, Chulanov, Vladimir, Clausen, Mette R, Colombo, Massimo, Cornberg, Marku, Cowie, Benjamin, Craxi, Antonio, Croes, Esther A, Cuellar, Diego Alberto, Cunningham, Chri, Desalegn, Hailemichael, Drazilova, Sylvia, Duberg, Ann-Sofi, Egeonu, Steve S, El-Sayed, Manal H, Estes, Chri, Falconer, Karolin, Ferraz, Maria L G, Ferreira, Paulo R, Flisiak, Robert, Frankova, Sona, Gaeta, Giovanni B, García-Samaniego, Javier, Genov, Jordan, Gerstoft, Jan, Goldis, Adrian, Gountas, Ilia, Gray, Richard, Guimarães Pessôa, Mário, Hajarizadeh, Behzad, Hatzakis, Angelo, Hézode, Christophe, Himatt, Sayed M, Hoepelman, Andy, Hrstic, Irena, Hui, Yee-Tak T, Husa, Petr, Jahis, Rohani, Janjua, Naveed Z, Jarčuška, Peter, Jaroszewicz, Jerzy, Kaymakoglu, Sabahattin, Kershenobich, David, Kondili, Loreta A, Konysbekova, Aliya, Krajden, Mel, Kristian, Pavol, Laleman, Wim, Lao, Wai-cheung C, Layden, Jen, Lazarus, Jeffrey V, Lee, Mei-Hsuan, Liakina, Valentina, Lim, Young-Suk S, Loo, Ching-kong K, Lukšić, Bori, Malekzadeh, Reza, Malu, Abraham O, Mamatkulov, Adkhamjon, Manns, Michael, Marinho, Rui T, Maticic, Mojca, Mauss, Stefan, Memon, Muhammad S, Mendes Correa, Maria C, Mendez-Sanchez, Nahum, Merat, Shahin, Metwally, Ammal M, Mohamed, Rosmawati, Mokhbat, Jacques E, Moreno, Christophe, Mossong, Joel, Mourad, Fadi H, Müllhaupt, Beat, Murphy, Kimberly, Musabaev, Erkin, Nawaz, Arif, Nde, Helen M, Nersesov, Alexander, Nguyen, Van Thi Thuy, Njouom, Richard, Ntagirabiri, Renovat, Nurmatov, Zuridin, Obekpa, Solomon, Ocama, Ponsiano, Oguche, Stephen, Omede, Ogu, Omuemu, Casimir, Opare-Sem, Ohene, Opio, Christopher K, Örmeci, Necati, Papatheodoridis, George, Pasini, Ken, Pimenov, Nikolay, Poustchi, Hossein, Quang, Trân D, Qureshi, Huma, Ramji, Alnoor, Razavi-Shearer, Kathryn, Redae, Berhane, Reesink, Henk W, Rios, Cielo Yaneth, Rjaskova, Gabriela, Robbins, Sarah, Roberts, Lewis R, Roberts, Stuart K, Ryder, Stephen D, Safadi, Rifaat, Sagalova, Olga, Salupere, Riina, Sanai, Faisal M, Sanchez-Avila, Juan F, Saraswat, Vivek, Sarrazin, Christoph, Schmelzer, Jonathan D, Schréter, Ivan, Scott, Julia, Seguin-Devaux, Carole, Shah, Samir R, Sharara, Ala I, Sharma, Manik, Shiha, Gamal E, Shin, Tesia, Sievert, William, Sperl, Jan, Stärkel, Peter, Stedman, Catherine, Sypsa, Vana, Tacke, Frank, Tan, Soek S, Tanaka, Junko, Tomasiewicz, Krzysztof, Urbanek, Petr, van der Meer, Adriaan J, Van Vlierberghe, Han, Vella, Stefano, Vince, Adriana, Waheed, Yasir, Waked, Imam, Walsh, Nichola, Weis, Nina, Wong, Vincent W, Woodring, Joseph, Yaghi, Cesar, Yang, Hwai-I, Yang, Chung-Lin, Yesmembetov, Kakharman, Yosry, Ayman, Yuen, Man-Fung, Yusuf, Muhammed Aasim M, Zeuzem, Stefan, and Razavi, Homie

Subjects
0301 basic medicine, BIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences, HBsAg, Pediatrics, Delphi Technique, Infectious Disease Transmission, CHRONIC HBV INFECTION, NATURAL-HISTORY, FOLLOW-UP, HBSAG, CARRIERS, AGE, COUNTRIES, DISEASE, ANTIGEN, COHORT, ddc:616.07, Global Health, medicine.disease_cause, 0302 clinical medicine, Prevalence, HBV, Child, ddc:616, Antiviral Agents/therapeutic use, education.field_of_study, BIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti, Chronic/drug therapy/epidemiology/prevention & control/transmission, Gastroenterology, Hepatitis B Surface Antigens/blood, Hepatitis B, 10219 Clinic for Gastroenterology and Hepatology, Child, Preschool, 030211 gastroenterology & hepatology, Viral hepatitis, Viral load, Adult, medicine.medical_specialty, Hepatitis B vaccine, Population, 610 Medicine & health, Antiviral Agents, Mass Vaccination, Hepatology, 03 medical and health sciences, Hepatitis B, Chronic, SDG 3 - Good Health and Well-being, medicine, Humans, 2715 Gastroenterology, Preschool, education, Disease burden, Hepatitis B virus, Hepatitis B Surface Antigens, business.industry, Viral Vaccines, medicine.disease, Infectious Disease Transmission, Vertical, Vertical/prevention & control, 030104 developmental biology, 2721 Hepatology, Human medicine, business
Abstract

PubMed: 29599078, 2-s2.0-85044540918, Background: The 69th World Health Assembly approved the Global Health Sector Strategy to eliminate viral hepatitis by 2030. Although no virological cure exists for hepatitis B virus (HBV) infection, existing therapies to control viral replication and prophylaxis to minimise mother-to-child transmission make elimination of HBV feasible. We aimed to estimate the national, regional, and global prevalence of HBsAg in the general population and in the population aged 5 years in 2016, as well as coverage of prophylaxis, diagnosis, and treatment. Methods: In this modelling study, we used a Delphi process that included a literature review in PubMed and Embase, followed by interviews with experts, to quantify the historical epidemiology of HBV infection. We then used a dynamic HBV transmission and progression model to estimate the country-level and regional-level prevalence of HBsAg in 2016 and the effect of prophylaxis and treatment on disease burden. Findings: We developed models for 120 countries, 78 of which were populated with data approved by experts. Using these models, we estimated that the global prevalence of HBsAg in 2016 was 3·9% (95% uncertainty interval [UI] 3·4–4·6), corresponding to 291 992 000 (251 513 000–341 114 000) infections. Of these infections, around 29 million (10%) were diagnosed, and only 4·8 million (5%) of 94 million individuals eligible for treatment actually received antiviral therapy. Around 1·8 (1·6–2·2) million infections were in children aged 5 years, with a prevalence of 1·4% (1·2–1·6). We estimated that 87% of infants had received the three-dose HBV vaccination in the first year of life, 46% had received timely birth-dose vaccination, and 13% had received hepatitis B immunoglobulin along with the full vaccination regimen. Less than 1% of mothers with a high viral load had received antiviral therapy to reduce mother-to-child transmission. Interpretation: Our estimate of HBV prevalence in 2016 differs from previous studies, potentially because we took into account the effect of infant prophylaxis and early childhood vaccination, as well as changing prevalence over time. Although some regions are well on their way to meeting prophylaxis and prevalence targets, all regions must substantially scale-up access to diagnosis and treatment to meet the global targets. Funding: John C Martin Foundation. © 2018 Elsevier Ltd, H28-kansei-ippan-001 National Academy of Sciences, NAS Novartis Roche World Health Organization, WHO Gilead Sciences Alnylam Pharmaceuticals AbbVie Meso Scale Diagnostics, MSD British Microcirculation Society, BMS Japan Society for the Promotion of Science, JSPS: 17H03589 Ministry of Health, Labour and Welfare, MHLW Vetenskapsrådet, VR Siemens Universiteit Antwerpen OLL-683801, DR-S, IGa, SB, SMB, CE, KM, HMN, KP, KR-S, SR, JDS, and HR report grants from John C Martin Foundation, during the conduct of the study, and grants from Gilead Sciences, AbbVie, WHO, National Academy of Sciences, Intercept Pharmaceuticals, and Boehringer Ingelheim, outside the submitted work. MHN reports grants and personal fees from Bristol-Myers Squibb (BMS), Gilead Sciences, and Janssen, and personal fees from Novartis, Anylam, and Dynavax, outside the submitted work. PVD acts as chief and principal investigator for vaccine trials done on behalf of the University of Antwerp, Belgium, for which the University obtains research grants from vaccine manufacturers; speaker's fees for presentations on vaccines are paid directly to an educational fund held by the University of Antwerp, and PVD receives no personal remuneration for this work. ACA reports personal fees from Mylan Pharmaceuticals, outside the submitted work. JEA reports fees paid to his hospital for participation on the advisory boards of Gilead Sciences, ViiV Healthcare, BMS, Janssen, and AbbVie, and grants from BMS, Merck Sharp & Dohme (MSD), AbbVie, and ViiV Healthcare, outside the submitted work. TB reports grants, personal fees, and non-financial support from AbbVie and Gilead Sciences; grants and personal fees from BMS, Janssen, Roche, MSD, and Sequana Medical; and personal fees from Bayer, Vertex, Tibotec, Intercept, Sirtex, and Alexion, outside the submitted work. PB reports grants and personal fees from AbbVie, Gilead Sciences, and MSD, outside the submitted work. MBr reports personal fees from BMS, Gilead Sciences, and Janssen, and grants from BMS, outside the submitted work. HLYC reports personal fees from Gilead Sciences, BMS, AbbVie, Roche, MedImmune, and Intellia, outside the submitted work. PBC reports grants from AbbVie, Gilead Sciences, and MSD, outside the submitted work. VC reports personal fees from AbbVie, BMS, Gilead Sciences, and MSD, and grants from BMS, outside the submitted work. MCor reports personal fees from AbbVie, BMS, Boehringer Ingelheim, Biogen Idec, Falk Foundation, Gilead Sciences, Janssen, MSD, Roche Diagnostics, Roche Pharma, and Siemens, outside the submitted work. SD and PJ report personal fees and non-financial support from AbbVie and Gilead Sciences, and personal fees from MSD, outside the submitted work. MHE-S is an advisory board member for Perspectum Diagnostics, and reports grants and non-financial support from Gilead Sciences, and non-financial support from AbbVie and Quadri Pharma, outside the submitted work. RF reports grants, personal fees, and non-financial support from Roche and Gilead Sciences, and personal fees and non-financial support from BMS, outside the submitted work. GBG reports grants and personal fees from Gilead Sciences, outside the submitted work. JG-S reports grants and personal fees from Gilead Sciences, and personal fees from MSD, Abbvie, Janssen, and BMS, outside the submitted work. JGer reports grants and personal fees from AbbVie, Gilead Sciences, Janssen, MSD, BMS, and ViiV Healthcare, outside the submitted work. RG reports grants from New South Wales Ministry of Health and provided project advice regarding viral hepatitis treatment to Gilead Sciences, outside the submitted work. AHa reports unrestricted grants from AbbVie, MSD, Gilead Sciences, BMS, and Novartis, and non-financial support from Gilead Sciences, outside the submitted work; he was also on advisory boards for AbbVie, Gilead Sciences, and BMS. CH reports personal fees from AbbVie, BMS, Gilead Sciences, Janssen, and MSD, outside the submitted work. JJ reports personal fees and non-financial support from Gilead Sciences and AbbVie, and personal fees from Roche and BMS, outside the submitted work. MK reports grants from Roche, Siemens, Hologic, and Boerhinger Ingleheim, outside the submitted work. JVL reports grants and personal fees from Gilead Sciences and personal fees from Cepheid, outside the submitted work. MMan reports personal fees from Roche, BMS, GlaxoSmithKline, Aevi Genomic Medicine, ENYO Pharma, and CureVac, and grants and personal fees from Gilead Sciences and Novartis, outside the submitted work. SMau reports personal fees and non-financial support from Gilead Sciences and BMS, outside the submitted work. CM reports grants and personal fees from AbbVie, Gilead Sciences, and BMS; personal fees from MSD; and grants from Roche, outside the submitted work. BM reports grants and personal fees from Gilead Sciences and personal fees from AbbVie, MSD, BMS, Bayer, Intercept, and Sigma-Tau, during the conduct of the study. FN reports personal fees and non-financial support from Gilead Sciences, during the conduct of the study. AR reports grants and personal fees from AbbVie, Gilead, and MSD, and personal fees form BMS, Celgene, Janssen, Intercept, and Lupin, outside the submitted work. HWR reports grants and personal fees from AbbVie, BMS, Boehringer Ingelheim, ENYO Pharma, Gilead Sciences, Janssen, MSD, PRA Health Sciences, Regulus, and Roche; personal fees from Alnylam and R-Pharm; and grants from Replicor, outside the submitted work. LRR reports grants from the Center for Clinical and Translational Science and the Swedish Research Council (Ghana), during the conduct of the study. LRR also reports grants from Gilead Sciences, BTG, Ariad, and Wako, outside the submitted work, and was a consultant and advisory board member for Wako, Medscape, Axis, OncLive, Bayer, Tavec, and Grail. SDR has served as an advisory board member and speaker for Gilead Sciences, AbbVie, and MSD. OS has served as a consultant and on advisory boards for MSD; received research grants from AbbVie, BMS, MSD, Boehringer Ingelheim, R-Pharm, and Hepatera; and served as a speaker for Abbott, AbbVie, BMS, Gilead Sciences, Janssen, MSD, and R-Pharm. JFS-A reports personal fees from AbbVie and grants from Gilead Sciences and Janssen, outside the submitted work. CSa reports personal fees from Gilead Sciences and BMS, outside the submitted work. PS reports grants and personal fees from Gilead Sciences, AbbVie, and BMS, and personal fees from Intercept, outside the submitted work. CSt has consulted with and served on advisory boards for Gilead Sciences, AbbVie, and MSD. VSy reports grants and personal fees from Gilead Sciences, personal fees and non-financial support from AbbVie, and personal fees from Janssen, outside the submitted work. KT reports grants and personal fees from AbbVie, Gilead Sciences, and BMS; personal fees from MSD and Alfa Wasserman; and grants from Janssen, outside the submitted work. AJvdM reports grants and personal fees from Gilead Sciences and personal fees from AbbVie, outside the submitted work. IW reports personal fees from AbbVie, Gilead Sciences, Janssen, Marcyrl, Mylan, Onxio, and Pharco, outside the submitted work. NW reports personal fees paid to her department from AbbVie, BMS, Gilead Sciences, and MSD, outside the submitted work. VWW reports personal fees from Gilead Sciences, BMS, and MSD, outside the submitted work. M-FY was a speaker or advisory board member for AbbVie, BMS, Gilead Sciences, Roche, GlaxoSmithKline, Fujirebio, Biocartis, and MSD, outside the submitted work. SZ reports consultancy and lecture fees from AbbVie, Gilead Sciences, and MSD, and consultancy fees from Intercept, outside the submitted work. All other authors declare no competing interests., This study was funded by the John C Martin Foundation through the Polaris Observatory. We thank the Research on Hepatitis group (H28-kansei-ippan-001 and H25-kanen-ippan-010; led by JT), funded by the Ministry of Health, Labour and Welfare of Japan, for their provision of country-level data for Japan, and Örebro County Council for providing ALF grants (OLL-683801) to A-SD, which allowed collection of country-level data for Sweden.

Published
2018

26. Elevated liver stiffness without histological evidence of liver fibrosis in rural Ugandans

Author

Ronald H. Gray, Martin Tibuakuu, Ponsiano Ocama, Gregory D. Kirk, Christopher Kenneth Opio, David Serwadda, Thomas C. Quinn, Steven J. Reynolds, Caroline Jjingo, Victor Ssempijja, David L. Thomas, David E. Kleiner, Fred Nalugoda, Graduate School, AII - Infectious diseases, APH - Global Health, and APH - Methodology

Subjects
Liver Cirrhosis, medicine.medical_specialty, transient electrography, Concordance, Biopsy, Gastroenterology, Article, Liver disease, symbols.namesake, Fibrosis, Liver stiffness, Virology, Internal medicine, medicine, Humans, Uganda, Poisson regression, liver biopsy, Hepatology, medicine.diagnostic_test, business.industry, fibrosis, HIV, medicine.disease, Ishak Score, Infectious Diseases, Liver, Relative risk, Liver biopsy, symbols, Elasticity Imaging Techniques, Female, business, liver disease
Abstract

Liver fibrosis may be assessed noninvasively with transient electrography (TE). Data on the performance of TE for detecting liver fibrosis in sub-Saharan Africa are limited. We evaluated the diagnostic accuracy of TE by performing liver biopsies on persons with liver fibrosis indicated by TE. We enrolled HIV-infected and HIV-uninfected participants with TE scores consistent with at least minimal disease (liver stiffness measurement [LSM]≥7.1 kPa). Biopsies were performed and staged using the Ishak scoring system. A concordant result was defined using accepted thresholds for significant fibrosis by TE (LSM ≥ 9.3 kPa) and liver biopsy (Ishak score ≥ 2). We used modified Poisson regression methods to quantify the univariate and adjusted prevalence risk ratios (PRR) of the association between covariates and the concordance status of TE and liver biopsy in defining the presence of liver fibrosis. Of 131 participants with valid liver biopsy and TE data, only 5 participants (3.8%) had Ishak score ≥ 2 of whom 4 had LSM ≥ 9.3 kPa (sensitivity = 80%); of the 126 (96.2%) with Ishak score < 2, 76 had LSM < 9.3 kPa (specificity = 61%). In multivariable analysis, discordance was associated with female gender (adjPRR = 1.80, 95%CI 1.1-2.9; P = .019), herbal medicine use (adjPRR 1.64, 95% CI = 1.0-2.5; P = .022), exposure to lake or river water (adjPRR 2.05, 95% CI = 1.1-3.7; P = .016), and current smoking (adjPRR 1.72, 95%CI 1.0-2.9; P = .045). These data suggest that TE among rural Ugandans has low specificity for detection of histologically confirmed liver fibrosis. Caution should be exercised when using this tool to confirm significant liver fibrosis.

Published
2020

27. Metabolically healthy overweight/obesity are associated with increased risk of cardiovascular disease in adults, even in the absence of metabolic risk factors: A systematic review and meta‐analysis of prospective cohort studies

Author

Emma E Croker, Mark McEvoy, John Attia, Jacob Opio, George S. Odongo, and Katie Wynne

Subjects
Adult, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Disease, Overweight, Cochrane Library, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Metabolically healthy obesity, Humans, Medicine, Obesity, 030212 general & internal medicine, Prospective cohort study, Obesity, Metabolically Benign, business.industry, Public Health, Environmental and Occupational Health, medicine.disease, Cardiovascular Diseases, Meta-analysis, Relative risk, medicine.symptom, business
Abstract

This review examined the risk of cardiovascular disease in adults with metabolically healthy overweight/obesity. A systematic review and meta-analysis using data from Medline, EMBASE, SCOPUS and Cochrane Library searched from inception up to 31st October 2019. We included prospective cohort studies of adults who are metabolically healthy or unhealthy. Outcomes were fatal and nonfatal cardiovascular events, all-cause mortality. Pooled relative risk was calculated for each outcome in populations with metabolically healthy overweight and metabolically healthy obesity using metabolically healthy normal weight as reference. A random-effects model was used for meta-analysis, and risk of bias assessment tool for nonrandomized studies assessed risk of bias within each study. Twenty-three prospective cohort studies with 4,492,723 participants were included. Cardiovascular disease risk was increased in metabolically healthy groups with overweight (RR = 1.34, CI: 1.23-1.46, n = 20, I2 = 90.3%) and obesity (RR = 1.58, CI: 1.34-1.85, n = 21, I2 = 92.2) compared with a reference group with metabolically healthy normal weight. Cardiovascular disease risk was similar irrespective of the number of risk factors used to define metabolically healthy and the risk remained in the group with no metabolic risk factors. Cardiovascular disease risk is increased in populations with overweight and obesity classified as metabolically healthy even when there were no metabolic risk factors.

Published
2020

28. Opportunities and challenges for improving antimicrobial stewardship in low and middle income countries ; lessons learnt from the maternal sepsis intervention in Western Uganda

Author

Samuel Opio, Louise Ackers, Gavin Ackers-Johnson, Joe Odur, and Maaike L. Seekles

Subjects
pharmacy, 0301 basic medicine, Microbiology (medical), Referral, 030106 microbiology, Pharmacy, culture and sensitivity testing, Biochemistry, Microbiology, Article, sepsis, 03 medical and health sciences, 0302 clinical medicine, Nursing, Intervention (counseling), Health care, Antimicrobial stewardship, Medicine, Uganda, Pharmacology (medical), 030212 general & internal medicine, wound management, General Pharmacology, Toxicology and Pharmaceutics, business.industry, lcsh:RM1-950, low-and middle-income countries, Clinical pharmacy, antimicrobial stewardship, lcsh:Therapeutics. Pharmacology, Infectious Diseases, General partnership, resistance patterns, Stewardship, business
Abstract

This paper presents findings from an action-research intervention designed to identify ways of improving antimicrobial stewardship in a Ugandan Regional Referral Hospital. Building on an existing health partnership and extensive action-research on maternal health, it focused on maternal sepsis. Sepsis is one of the main causes of maternal mortality in Uganda and surgical site infection, a major contributing factor. Post-natal wards also consume the largest volume of antibiotics. The findings from the Maternal Sepsis Intervention demonstrate the potential for remarkable changes in health worker behaviour through multi-disciplinary engagement. Nurses and midwives create the connective tissue linking pharmacy, laboratory scientists and junior doctors to support an evidence-based response to prescribing. These multi-disciplinary ‘huddles’ form a necessary, but insufficient, grounding for active clinical pharmacy. The impact on antimicrobial stewardship and maternal mortality and morbidity is ultimately limited by very poor and inconsistent access to antibiotics and supplies. Insufficient and predictable stock-outs undermine behaviour change frustrating health workers’ ability to exercise their knowledge and skill for the benefit of their patients. This escalates healthcare costs and contributes to anti-microbial resistance.

Published
2020

29. Survival time and its predictors in preterm infants in the post-discharge neonatal period: a prospective cohort study in Busoga Region, Uganda

Author

Carol Kamya, Peter Waiswa, Joseph Kagaayi, Yeka Adoke, Charles Opio, Aggrey Mukose, Olufemi Ajumobi, Angela Kisaakye, and Richard Malumba

Subjects
medicine.medical_specialty, Percentile, Post discharge, Obstetrics, business.industry, lcsh:Public aspects of medicine, Psychological intervention, Breastfeeding, Gestational age, lcsh:RA1-1270, General Medicine, medicine, Hospital discharge, Prospective cohort study, business, Survival analysis
Abstract

Background Globally, out of 15 million babies born preterm every year, around 1 million will die. In Uganda, deaths in preterm infants make up 30% of all neonatal deaths. There is a paucity of information on the most critical time to conduct high-impact interventions among neonates born preterm especially after discharge from hospital. In this study, we determined the survival time to mortality and its predictors in preterm infants in the neonatal period after discharge from hospital. Methods We conducted a prospective cohort study in preterm infants in six district hospitals in Busoga Region, Uganda. Prematurity was confirmed using gestational age and birthweight. We assessed participants' background characteristics then followed them up prospectively until 28 days of life. We used Kaplan-Meier survival analysis to estimate survival probabilities while time-to-preterm mortality was described using the 5th percentile. We used Cox proportional hazards regression to determine predictors of survival. Findings Between June 1, 2017, and July 14, 2017, we recruited 128 preterm infants to the study. Mean gestational age was 4 days (SD 3) and mean birthweight was 1·8 kg (0·6). Overall, 8% (10/128) of preterm infants died; the 5th percentile survival time was 17 days. We noted a six-fold increase in hazard of mortality in preterm infants who did not have kangaroo mother care (KMC) compared with those who did (adjusted HR 6·4 [95%CI 1·7–24·5]), a five-fold increase in mortality hazard in preterm infants born to HIV-positive mothers compared with babies who had HIV-negative mothers (4·9 [1·1–22·2]); and a four-fold increase in the mortality hazard in preterm infants who were not exclusively breastfed compared with those who were exclusively breastfed (4·4 [1·1–18·3]). Interpretation To reduce neonatal mortality in Uganda, we recommend follow-up care for preterm infants following hospital discharge, implementation of prevention of mother-to-child transmission of HIV, and exclusive breastfeeding of preterm babies. Funding East Africa Preterm Birth Initiative sponsored by the Bill & Melinda Gates Foundation.

Published
2020

30. Uganda’s experience in Ebola virus disease outbreak preparedness, 2018–2019

Author

Jackson Amone, Bernard T. Opar, Stephen Balinandi, Innocent Komakech, Vance Brown, Victoria Kajja, Julius J. Lutwama, Josephine Bwogi, Simon N. Antara, Allan Muruta, Isabelle Amoros, Doreen Nsiimire Gonahasa, Benjamin Sensasi, Celine H. Taboy, Deo Birungi Ndumu, Joshua Kayiwa, Harriet Akello, Rebecca D. Merrill, Sophia Mulei, Hafisa Kasule, Rita Nalwadda, Judith Nanyondo, Luke Nyakarahuka, Patrick Tusiime, Andrew Kambugu, Dan F. Stowell, Wilberforce Owembabazi, Bernard Lubwama, Godfrey Nsereko, Issa Makumbi, Ben Masiira, Trevor Shoemaker, Atek Kagirita, Olive Sentumbwe, Hasifa Bukirwa, Michael Kibuule, Henry Bosa Kyobe, Carol Nanziri, Daniel Kadobera, David K. Mutengeki, Richard Walwema, Mugagga Kaggwa, Vivian N. Serwanjja, Isabel Sorela, Paul Mbaka, Joe C. Opio, Emmanuel Ainebyoona, Mohammed Lamorde, Bao-Ping Zhu, Eldard Mabumba, Joseph Ngobi Mwoga, Jayne B. Tusiime, Sarah Ward, Juliet Namugga Kasule, Richard Okwi, Flora Banage, David Muwanguzi, Immaculate Nabukenya, Benon Kwesiga, Vivian Ntono, George D. Upenytho, Solome Okware, Jackson Kyondo, Chrisostom Ayebazibwe, Martin O. Oteba, Oleh Masylukov, Moses Mwanja, Alex Tumusiime, Christine Kihembo, James Eyul, Yonas Tegegn Woldemariam, Bayo Fatunmbi, Alfred Driwale, Jaco Homsy, Tabley Bakyaita, Chima Ohuabunwo, Miriam Lwanga, David Matseketse, Rosalind J Carter, Charles Olaro, Lydia Nakiire, Musa Sekamatte, Julie R. Harris, Nulu Bulya, Edson Katushabe, Sandra Nabatanzi, Julius Kasozi, Pontiano Kaleebu, Anne Nakinsige, Alex Riolexus Ario, Peter B. Ahabwe, Thomas Nsibambi, William Z. Lali, Simon Kyazze, John D. Klena, Josephine Okwera, Bodo Bongomin, Denis Kyabaggu, Fred Sebisubi, Susan Nabadda, Lisa J. Nelson, Jane Ruth Aceng, Fred Monje, Ambrose Talisuna, Viorica Berdaga, Charles Katureebe, Jude Okiria, Lilian Bulage, Morries Seru, Collins Mwesigye, Joseph Ojwang, Gregory Adams, Edmund Mwebembezi, Miriam Nanyunja, Henry Mwebesa, Allan M. Mpairwe, Paul B. Okot, Felix Ocom, Andrew Bakainaga, Peter Oumo, Basnet S. Mukunda, Robinah Lukwago, Derrick Mimbe, Dativa Maria Aliddeki, Milton Makoba Wetaka, Juliet Sentumbwe, and Richard Kabanda

Subjects
medicine.medical_specialty, Isolation (health care), World Health Organization, medicine.disease_cause, Disease Outbreaks, Epidemic preparedness, Procurement, medicine, Humans, Uganda, Rapid response team, Social policy, Ebola virus, lcsh:Public aspects of medicine, Research, Health Policy, Public health, Public Health, Environmental and Occupational Health, Health services research, Civil Defense, lcsh:RA1-1270, Hemorrhagic Fever, Ebola, medicine.disease, Preparedness, Ebola, Viral Haemorrhagic fever, Public Health, Global Health security, Business, Medical emergency
Abstract

Background Since the declaration of the 10th Ebola Virus Disease (EVD) outbreak in DRC on 1st Aug 2018, several neighboring countries have been developing and implementing preparedness efforts to prevent EVD cross-border transmission to enable timely detection, investigation, and response in the event of a confirmed EVD outbreak in the country. We describe Uganda’s experience in EVD preparedness. Results On 4 August 2018, the Uganda Ministry of Health (MoH) activated the Public Health Emergency Operations Centre (PHEOC) and the National Task Force (NTF) for public health emergencies to plan, guide, and coordinate EVD preparedness in the country. The NTF selected an Incident Management Team (IMT), constituting a National Rapid Response Team (NRRT) that supported activation of the District Task Forces (DTFs) and District Rapid Response Teams (DRRTs) that jointly assessed levels of preparedness in 30 designated high-risk districts representing category 1 (20 districts) and category 2 (10 districts). The MoH, with technical guidance from the World Health Organisation (WHO), led EVD preparedness activities and worked together with other ministries and partner organisations to enhance community-based surveillance systems, develop and disseminate risk communication messages, engage communities, reinforce EVD screening and infection prevention measures at Points of Entry (PoEs) and in high-risk health facilities, construct and equip EVD isolation and treatment units, and establish coordination and procurement mechanisms. Conclusion As of 31 May 2019, there was no confirmed case of EVD as Uganda has continued to make significant and verifiable progress in EVD preparedness. There is a need to sustain these efforts, not only in EVD preparedness but also across the entire spectrum of a multi-hazard framework. These efforts strengthen country capacity and compel the country to avail resources for preparedness and management of incidents at the source while effectively cutting costs of using a “fire-fighting” approach during public health emergencies.

Published
2020

31. Recovery and stable persistence of chloroquine sensitivity in Plasmodium falciparum parasites after its discontinued use in Northern Uganda

Author

Mary A. Auma, Edward H. Ntege, Toshiyuki Mori, Eisaku Kimura, Shouki Yatsushiro, Osbert T. Katuro, Emmanuel I. Odongo-Aginya, Makoto Sekihara, Makoto Hirai, Martin D. Ogwang, Toshihiro Mita, Naoyuki Fukuda, Toshihiro Horii, Betty Balikagala, Nobuyuki Takahashi, Walter Opio, Takafumi Tsuboi, Masato Yamauchi, Mie Ikeda, Denis A Anywar, Paul S. Obwoya, Miki Sakurai-Yatsushiro, Shin-Ichiro Tachibana, and Nirianne Marie Q. Palacpac

Subjects
0301 basic medicine, medicine.medical_specialty, lcsh:Arctic medicine. Tropical medicine, lcsh:RC955-962, Plasmodium falciparum, 030106 microbiology, 030231 tropical medicine, Drug Resistance, Lumefantrine, lcsh:Infectious and parasitic diseases, Persistence (computer science), Persistent recovery, Antimalarials, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Chloroquine, parasitic diseases, medicine, Uganda, lcsh:RC109-216, Genotyping, biology, Research, medicine.disease, biology.organism_classification, Virology, Chloroquine sensitivity, Infectious Diseases, chemistry, Parasitology, Tropical medicine, Malaria, medicine.drug
Abstract

Background Usage of chloroquine was discontinued from the treatment of Plasmodium falciparum infection in almost all endemic regions because of global spread of resistant parasites. Since the first report in Malawi, numerous epidemiological studies have demonstrated that the discontinuance led to re-emergence of chloroquine-susceptible P. falciparum, suggesting a possible role in future malaria control. However, most studies were cross-sectional, with few studies looking at the persistence of chloroquine recovery in long term. This study fills the gap by providing, for a period of at least 6 years, proof of persistent re-emergence/stable recovery of susceptible parasite populations using both molecular and phenotypic methods. Methods Ex vivo drug-susceptibility assays to chloroquine (n = 319) and lumefantrine (n = 335) were performed from 2013 to 2018 in Gulu, Northern Uganda, where chloroquine had been removed from the official malaria treatment regimen since 2006. Genotyping of pfcrt and pfmdr1 was also performed. Results Chloroquine resistance (≥ 100 nM) was observed in only 3 (1.3%) samples. Average IC50 values for chloroquine were persistently low throughout the study period (17.4–24.9 nM). Parasites harbouring pfcrt K76 alleles showed significantly lower IC50s to chloroquine than the parasites harbouring K76T alleles (21.4 nM vs. 43.1 nM, p-value = 3.9 × 10−8). Prevalence of K76 alleles gradually increased from 71% in 2013 to 100% in 2018. Conclusion This study found evidence of stable persistence of chloroquine susceptibility with the fixation of pfcrt K76 in Northern Uganda after discontinuation of chloroquine in the region. Accumulation of similar evidence in other endemic areas in Uganda could open channels for possible future re-use of chloroquine as an option for malaria treatment or prevention.

Published
2020

32. Epidemiologic Investigation of a Cluster of Deaths due to Eating Fried Rice Balls Intentionally Tainted with Quinalphos, Sironko District, Uganda, a case series, 2017

Author

Patricia Eyu, Denis Nixon Opio, and Alex Riolexus Ario

Subjects
Organophosphate, Food poisoning, Uganda, Death, Abdominal pain, Pediatrics, medicine.medical_specialty, business.industry, Attack rate, Quinalphos, Disease cluster, medicine.disease, Organophosphate poisoning, Nasal bleeding, chemistry.chemical_compound, chemistry, Case fatality rate, Vomiting, Medicine, medicine.symptom, business
Abstract

BACKGROUND: Quinalphos is an organophosphate chemical chiefly used as a pesticide. On 13 November 2017, a cluster of unexplained deaths was reported in Village X, Sironko District, Eastern Uganda. We investigated to identify the scope and exposures for the cluster of deaths, and recommend control-measures. CASE PRESENTATION: We defined a suspected case as acute onset from 1-11 November 2017 of abdominal pain plus ≥1 of the following: vomiting, nasal bleeding, sweating, confusion, convulsion, loss of consciousness in a Village X resident. A confirmed case was a suspected case with a positive toxicological test of quinalphos by liquid chromatography. We reviewed clinical records and conducted active community case-finding. We investigated the exposure histories of case-patients, and inspected their homes for potential exposures. We identified 4 cases (including 1 confirmed) from a single household. The age range was six to fifty two years; attack rate: 50%, 4/8, and case fatality rate: ¾, 75%. Symptoms included abdominal pain (100%), vomiting (75%), self-reported fever (50%), confusion (25%), convulsion (25%), loss of consciousness (25%), nasal bleeding (25%). Of the 4 case-patients, 3 had onset at 09:00hours and 1 at 19:00hours on 9 November 2017. The 4 case-patients shared 5 “bolingos” (fried rice balls) at 14:00hours, which had been given to case-patient A, a primary two level pupil (equivalent to the second grade in the US system) by an unknown person on her way home from school on 8 November. Case-patient A ate 1 bolingo and died within 35 hours, case-patient B ate 2 bolingos and died within 27 hours, case-patient D ate 1½ bolingo and died in 45 hours, case-patient C ate ½ bolingo, developed mild symptoms and survived. Additionally, 8 chickens also ate crumbs of the bolingo and died. A blood specimen of the lone survivor tested positive for quinalphos. After reading our report, police conducted a criminal investigation and found that the affected family had land disputes with a neighbour. One man was arrested and is awaiting trial. CONCLUSION: This fatal food-poisoning cluster of deaths was caused by eating bolingos (fried rice balls) intentionally tainted with quinalphos. We recommended strict control of pesticides, assessment of availability and use of pesticides in communities, and re-orientation of clinicians on case-presentation and management of organophosphate poisoning.

Published
2020

33. The Role of Microbiology Testing in Controlling Infection and Promoting Antimicrobial Stewardship

Author

Samuel Opio, Daniel Kibombo, Gavin Ackers-Johnson, Joanne Welsh, and Louise Ackers

Subjects
0301 basic medicine, medicine.diagnostic_test, Resistance pattern, business.industry, media_common.quotation_subject, education, 030106 microbiology, Team working, Microbiology, 03 medical and health sciences, 030104 developmental biology, Antibiotic resistance, Antibiogram, Sensitivity testing, Antimicrobial stewardship, Medicine, Task shifting, business, Empowerment, health care economics and organizations, media_common
Abstract

This chapter discusses the Role of Microbiology Testing in Controlling Infection and Promoting Antimicrobial Stewardship. It details the role that culture and sensitivity testing has played in creating the ‘objective’ evidence base that facilitated and nurtured midwifery empowerment, task shifting and multi-disciplinary team working. The chapter presents findings of resistance patterns of isolates from women with suspected sepsis.

Published
2020

34. Introduction to Antimicrobial Resistance and the Maternal Sepsis Intervention

Author

Gavin Ackers-Johnson, Louise Ackers, Daniel Kibombo, Joanne Welsh, and Samuel Opio

Subjects
medicine.medical_specialty, medicine.drug_class, business.industry, Antibiotics, medicine.disease, Sepsis, Antibiotic resistance, Intervention (counseling), Action plan, medicine, Global health, Antimicrobial stewardship, business, Intensive care medicine, International development
Abstract

This chapter describes the threat to global health and security caused by the growing resistance of infectious organisms to antibiotics or antimicrobial resistance (AMR). Growing global connectivity ensures that AMR is a threat to us all wherever we are and with specific impacts on Low- and Middle-Income Countries (LMICs). The chapter outlines international responses to AMR including the Global Action Plan and the impact this has had on one LMIC; Uganda. It then introduces a recent UK funding call focused on improving the management of antibiotics or ‘Antimicrobial Stewardship’.

Published
2020

35. Infection Prevention Control (IPC) and Antimicrobial Resistance (AMR)

Author

Louise Ackers, Samuel Opio, Daniel Kibombo, Gavin Ackers-Johnson, and Joanne Welsh

Subjects
medicine.medical_specialty, business.industry, 010501 environmental sciences, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Antibiotic resistance, Wound management, Antimicrobial stewardship, Infection control, Medicine, 030212 general & internal medicine, business, Intensive care medicine, Surgical site infection, 0105 earth and related environmental sciences, Waste disposal
Abstract

This chapter outlines a key component of improved AMR; namely infection prevention control (IPC). It addresses some of the issues most commonly associated with IPC including hand hygiene, waste disposal and infrastructure. It then addresses wound management as an Infection Control issue. The emergence of wound management as a central focus in the Maternal Sepsis Intervention proved pivotal in shaping the pathway to antimicrobial stewardship.

Published
2020

36. The Impact of the Maternal Sepsis Intervention

Author

Gavin Ackers-Johnson, Daniel Kibombo, Louise Ackers, Joanne Welsh, and Samuel Opio

Subjects
medicine.medical_specialty, 030219 obstetrics & reproductive medicine, business.industry, medicine.disease, humanities, Sepsis, 03 medical and health sciences, 0302 clinical medicine, Antibiotic resistance, Intervention (counseling), Medicine, Antimicrobial stewardship, 030212 general & internal medicine, business, Intensive care medicine
Abstract

This chapter presents data on maternal mortality in Uganda and the contribution that sepsis makes to mortality. Against this backdrop, it identifies key outcomes of the intervention including major improvements in maternal mortality and reductions in the length of patient stays, readmission rates and hospital expenditure.

Published
2020

37. Genetic algorithms identify individuals with high risk of severe liver disease caused by schistosomes

Author

Christopher Kenneth Opio, Audrey Romano, Ana Coutinho, Carla Mola, Alain Dessein, Narcis Kabaterene, Valéria Rêgo Alves Pereira, Hélia Dessein, and Nicolas Duflot

Subjects
Genetic Markers, Liver Diseases, Parasitic, Inflammation, Disease, Biology, Severity of Illness Index, 03 medical and health sciences, Liver disease, Fibrosis, Genetics, medicine, Animals, Humans, Schistosomiasis, Precision Medicine, Genetics (clinical), 030304 developmental biology, 0303 health sciences, 030305 genetics & heredity, medicine.disease, Molecular medicine, Human genetics, Genetic marker, Immunology, Disease Progression, Schistosoma, medicine.symptom, Hepatic fibrosis, Algorithms
Abstract

Schistosomes induce severe hepatic disease, which is fatal in 2-10% of cases, mortality being higher in cases of co-infection with HBV or HCV. Hepatic disease occurs as a consequence of the chronic inflammation caused by schistosome eggs trapped in liver sinusoids. In certain individuals, the repair process leads to a massive accumulation of fibrosis in the periportal spaces. We and others have shown that genetic variants play a crucial role in disease progression from mild to severe fibrosis and explain why hepatic fibrosis progresses rapidly in certain subjects only. We will review here published findings concerning the strategies that have been used in the analysis of hepatic fibrosis in schistosome-infected individuals, the genetic variants that have associated with fibrosis, and variants in new pathways crucial for fibrosis progression. Together, these studies show that the development of fibrosis is under the tight genetic control of various common variants with moderate effects. This polygenic control has made it possible to develop models that identify schistosome-infected individual at risk of severe hepatic disease. We discuss the performances and limitations of these models.

Published
2019

38. QRS voltage is a predictor of in-hospital mortality of acutely ill medical patients

Author

John Kellett and Martin Otyek Opio

Subjects
Male, medicine.medical_specialty, Population, Clinical Investigations, QRS voltage, Vital signs, Pilot Projects, risk stratification, electrocardiogram, 030204 cardiovascular system & hematology, Logistic regression, Severity of Illness Index, vital signs, Electrocardiography, 03 medical and health sciences, QRS complex, Sex Factors, 0302 clinical medicine, Internal medicine, medicine, Humans, Uganda, Hospital Mortality, Prospective Studies, 030212 general & internal medicine, education, Hospital Mortality/trends, Survival Rate/trends, education.field_of_study, ECG, business.industry, early warning scores, Uganda/epidemiology, General Medicine, Odds ratio, Middle Aged, Prognosis, Early warning score, acute medicine, Survival Rate, Acute Disease, Cardiology, Population study, Female, Observational study, Acute Disease/mortality, Cardiology and Cardiovascular Medicine, business
Abstract

BACKGROUND: Low QRS voltage has been shown to be associated with increased mortality in the general population and in a small pilot study the combined QRS voltage of ECG leads I and II was found to be associated with in-hospital mortality.HYPOTHESIS: Confirm that low QRS voltage predicts the in-hospital mortality of acutely ill patients, and compare QRS voltage with other predictors of mortality that can be easily, quickly and cheaply obtained at the bedside.METHODS: Prospective observational study of vital signs, QRS voltage and simple tools used to assess mental, functional and nutritional status at the bedside in unselected acutely ill patients admitted to a resource-poor hospital in sub-Saharan Africa.RESULTS: Out of 1486 patients, 77 died (5.2%) in hospital. A combined lead I + II voltage CONCLUSIONS: Low QRS voltage, male gender, NEWS, and impaired mobility were independent predictors of in-hospital mortality in the study population. These four variables, which are easily obtained at the bedside, could potentially provide a rapid, easy, and cheap risk stratification system.

Published
2018

39. Prevalence of mental disorders in Uganda: a systematic review protocol

Author

John Nelson Opio, Edoardo Aromataris, and Catalin Tufanaru

Subjects
Research design, medicine.medical_specialty, Population, MEDLINE, 03 medical and health sciences, 0302 clinical medicine, Prevalence of mental disorders, parasitic diseases, Epidemiology, Prevalence, medicine, Humans, Uganda, 030212 general & internal medicine, education, General Nursing, Protocol (science), education.field_of_study, business.industry, Mental Disorders, General Medicine, 030227 psychiatry, Research Design, Family medicine, business, Systematic Reviews as Topic
Abstract

Review question:The questions to be addressed by this systematic review are:What is the prevalence of mental disorders in children under 18 years in Uganda?What is the prevalence of mental disorders in adults 18 years and over in Uganda?What are the common mental disorders among children and adults

Published
2018

40. Should impaired mobility on presentation be a vital sign?

Author

Martin Otyek Opio, Christian H. Nickel, Mikkel Brabrand, John Kellett, and Tim Cooksley

Subjects
medicine.medical_specialty, Univariate analysis, business.industry, Vital signs, 030208 emergency & critical care medicine, General Medicine, Odds ratio, Logistic regression, Early warning score, 03 medical and health sciences, 0302 clinical medicine, Anesthesiology and Pain Medicine, Blood pressure, Internal medicine, Cohort, Medicine, 030212 general & internal medicine, business, Cohort study
Abstract

Introduction: Vital signs are routinely used to assess acutely ill patients, but they do not detect all patients at risk of death. This retrospective multicenter cohort study compares the prediction of death by impaired mobility with age, co-morbidities, and vital sign changes. Methods: On first assessment, patients from a combined cohort of 9684 Danish and Irish patients and a separate cohort of 1010 Ugandan patients were stratified by impaired mobility on presentation (IMOP), vital sign changes assessed by the National Early Warning Score (NEWS), the Charlson Co-morbidity Index, and age. Results: Fourteen percent of Danish and Irish patients had IMOP compared with 42% of Ugandan patients. The odds ratios of IMOP for 7-day mortality were similar for both cohorts (i.e. 11.8, 95% CI 5.8-24.0 for Ugandan patients versus 6.7, 95% CI 5.0-9.0 for Danish and Irish patients). Univariate analysis of Ugandan patients showed that none of the parameters tested (i.e. low blood pressure, pulse, elevated respiratory rate, hypothermia, low oxygen saturation, old age, and coma) had a statistically higher odds ratio for either 7-day mortality than IMOP. Multivariate logistic regression analysis of Danish and Irish patients also showed that none of these parameters or the Charlson Co-morbidity Index had a statistically higher odds ratio than IMOP for either 7-day or 30-day mortality. Conclusion: Immobility on presentation is a vital sign and predicts mortality for acutely ill patients independently of the traditional vital signs, age, and co-morbidities.

Published
2018

41. Evaluation of HIV-1 rapid tests and identification of alternative testing algorithms for use in Uganda

Author

Aminah Kigozi, Mary Bridget Nanteza, Paul Kato Kitandwe, Christine Watera, Tom Lutalo, Peter Hughes, Joshua Musinguzi, Edward K Mbidde, Pontiano Kaleebu, Robert Downing, and Alex Opio

Subjects
0301 basic medicine, Adult, Male, Computer science, Point-of-Care Systems, 030106 microbiology, Human immunodeficiency virus (HIV), Rapid tests, HIV Infections, medicine.disease_cause, Sensitivity and Specificity, World health, lcsh:Infectious and parasitic diseases, Immunoenzyme Techniques, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, medicine, Humans, Mass Screening, Uganda, lcsh:RC109-216, 030212 general & internal medicine, Evaluation, Point of care, Gold standard (test), 3. Good health, Identification (information), Infectious Diseases, Weak bands, HIV-1, Female, Enzyme immunoassays, Reagent Kits, Diagnostic, Algorithm, Algorithms, Research Article
Abstract

Introduction The World Health Organization recommends that countries conduct two phase evaluations of HIV rapid tests (RTs) in order to come up with the best algorithms. In this report, we present the first ever such evaluation in Uganda, involving both blood and oral based RTs. The role of weak positive (WP) bands on the accuracy of the individual RT and on the algorithms was also investigated. Methods In total 11 blood based and 3 oral transudate kits were evaluated. All together 2746 participants from seven sites, covering the four different regions of Uganda participated. Two enzyme immunoassays (EIAs) run in parallel were used as the gold standard. The performance and cost of the different algorithms was calculated, with a pre-determined price cut-off of either cheaper or within 20% price of the current algorithm of Determine + Statpak + Unigold. In the second phase, the three best algorithms selected in phase I were used at the point of care for purposes of quality control using finger stick whole blood. Results We identified three algorithms; Determine + SD Bioline + Statpak; Determine + Statpak + SD Bioline, both with the same sensitivity and specificity of 99.2% and 99.1% respectively and Determine + Statpak + Insti, with sensitivity and specificity of 99.1% and 99% respectively as having performed better and met the cost requirements. There were 15 other algorithms that performed better than the current one but rated more than the 20% price. None of the 3 oral mucosal transudate kits were suitable for inclusion in an algorithm because of their low sensitivities. Band intensity affected the performance of individual RTs but not the final algorithms. Conclusion We have come up with three algorithms we recommend for public or Government procurement based on accuracy and cost. In case one algorithm is preferred, we recommend to replace Unigold, the current tie breaker with SD Bioline. We further recommend that all the 18 algorithms that have shown better performance than the current one are made available to the private sector where cost may not be a limiting factor.

Published
2018

42. 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. 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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

43. Combatting Global Infectious Diseases: A Network Effect of Specimen Referral Systems

Author

Thomas J. Spira, George Alemnji, Christina Mwangi, John N. Nkengasong, R. Suzanne Beard, Yenew Kebede, Peter N. Fonjungo, and Alex Opio

Subjects
Microbiology (medical), Flexibility (engineering), medicine.medical_specialty, Ebola virus, Referral, business.industry, 030231 tropical medicine, Developing country, Disease, medicine.disease_cause, medicine.disease, Turnaround time, 03 medical and health sciences, Laboratory specimen, 0302 clinical medicine, Infectious Diseases, Family medicine, Medicine, 030212 general & internal medicine, Medical emergency, business, Network effect
Abstract

The recent Ebola virus outbreak in West Africa clearly demonstrated the critical role of laboratory systems and networks in responding to epidemics. Because of the huge challenges in establishing functional laboratories at all tiers of health systems in developing countries, strengthening specimen referral networks is critical. In this review article, we propose a platform strategy for developing specimen referral networks based on 2 models: centralized and decentralized laboratory specimen referral networks. These models have been shown to be effective in patient management in programs in resource-limited settings. Both models lead to reduced turnaround time and retain flexibility for integrating different specimen types. In Haiti, decentralized specimen referral systems resulted in a 182% increase in patients enrolling in human immunodeficiency virus treatment programs within 6 months. In Uganda, cost savings of up to 62% were observed with a centralized model. A platform strategy will create a network effect that will benefit multiple disease programs.

Published
2017

44. Loss to follow-up and associated factors among adult people living with HIV at public health facilities in Wakiso district, Uganda: a retrospective cohort study

Author

Fred C. Semitala, Alex Kakeeto, Brenda Nakafeero, Paul Okimat, Emmanuel Sendaula, Charles Karamagi, Joan N. Kalyango, Joaniter I. Nankabirwa, and Denis Nixon Opio

Subjects
Adult, Male, medicine.medical_specialty, HIV Infections, Loss to follow-up, Health administration, 03 medical and health sciences, 0302 clinical medicine, Environmental health, Health care, Humans, Medicine, Uganda, 030212 general & internal medicine, Retrospective Studies, business.industry, lcsh:Public aspects of medicine, 030503 health policy & services, Health Policy, Nursing research, Public health, Incidence (epidemiology), Hazard ratio, PLHIV, lcsh:RA1-1270, Retrospective cohort study, Middle Aged, Public health facilities, Female, Lost to Follow-Up, Health Facilities, HIV care, Underweight, medicine.symptom, 0305 other medical science, business, Research Article, Follow-Up Studies
Abstract

Background Loss to follow-up (LTFU) from care among people living with HIV (PLHIV) is thought to be more common in the public setting compared to the private health care. It is anticipated that the problem may become worse with the current “test and treat” policy in Uganda due to the likely increases in patient loads and its attendant pressure on health care providers to support patient counseling. This study determined the incidence and factors associated with LTFU from HIV care among adult PLHIV in public health facilities in Wakiso district, Uganda. Methods This was a retrospective cohort study that involved the review of 646 records of patients initiated on antiretroviral therapy (ART) between January 1st, 2015 and December 31st, 2017 at 13 randomly selected public health facilities in Wakiso district. The cox proportional hazards regression was used to determine the factors associated with LTFU. The results were supported by sequential in-depth and key informant interviews to explore reasons for LTFU. Results Of the 646 patients enrolled, 391 were female (60.5%), 282 were below 30 years (43.6%) and 207 were married (50.1%). A total of 216 patients (33.4%) had no documented outcomes and were considered LTFU. The incidence of LTFU was 21 per 1000 person months (95% confidence interval (CI): 18–25 per 1000 person months). Factors associated with LTFU included having normal weight compared to underweight (adjusted hazard ratio (aHR) 0.64, 95% CI: 0.45–0.90, p = 0.011), receiving HIV care from hospitals compared to lower level facilities (aHR 0.22, 95% CI: 0.12–0.41, p

Published
2019

45. Biomass fuel as a risk factor for esophageal squamous cell carcinoma: a systematic review and meta-analysis

Author

Winnie Muyindike, Kathleen E. Corey, Christopher Kenneth Opio, Emmanuel Dwomoh, Emmanuel Byaruhanga, Ponsiano Ocama, Suzan Joan Akello, David D. Christiani, Samson Okello, and Ruyang Zhang

Subjects
Oncology, medicine.medical_specialty, Esophageal Neoplasms, Health, Toxicology and Mutagenesis, Biomass, Esophageal squamous cell carcinoma, Odds, Heating, Feces, lcsh:RC963-969, 03 medical and health sciences, Risk Factors, Internal medicine, medicine, Humans, Cooking, Risk factor, 0303 health sciences, business.industry, Research, lcsh:Public aspects of medicine, Public Health, Environmental and Occupational Health, 030311 toxicology, lcsh:RA1-1270, Publication bias, Odds ratio, Wood, 3. Good health, Coal, Air Pollution, Indoor, Charcoal, Meta-analysis, lcsh:Industrial medicine. Industrial hygiene, Esophageal Squamous Cell Carcinoma, business, Risk assessment
Abstract

Background The link between use of solid biomass fuel (wood, charcoal, coal, dung, and crop residues) for cooking and/or heating and esophageal squamous cell carcinoma (ESCC) is inconclusive. Objective We systematically reviewed the literature and performed a meta-analysis to determine whether cooking fuel type influences esophageal squamous cell carcinoma. Methods We searched MEDLINE, EMBASE, Web of Knowledge and Cochrane Database of Systematic Reviews for studies investigating cooking fuel and ESCC from 2000 until March 2019. We performed random effects meta-analysis stratified by the continent, World Bank’s country income classifications and fuel type and calculated pooled odds ratios and 95% CIs for the risk of esophageal squamous cell carcinoma in biomass fuel users compared with non-users. Results Our analysis included 16 studies (all case-control) with 16,189 participants (5233 cases and 10,956 controls) that compared risk of ESCC among those using nonsolid fuels and biomass fuels. We found use of biomass fuel was associated with Esophageal squamous cell carcinoma with a pooled odds ratio (OR) 3.02 (95% CI 2.22, 4.11, heterogeneity (I2) = 79%). In sub-group analyses by continent, Africa (OR 3.35, 95%CI 2.34, 4.80, I2 = 73.4%) and Asia (OR 3.08, 95%CI 1.27, 7.43, I2 = 81.7%) had the highest odds of ESCC. Use of wood as fuel had the highest odds of 3.90, 95% CI 2.25, 6.77, I2 = 63.5%). No significant publication bias was detected. Conclusions Biomass fuel is associated with increased risk of Esophageal squamous cell carcinoma. Biomass fuel status should be considered in the risk assessment for Esophageal squamous cell carcinoma. Electronic supplementary material The online version of this article (10.1186/s12940-019-0496-0) contains supplementary material, which is available to authorized users.

Published
2019

46. Ethical and scientific considerations on the establishment of a controlled human infection model for schistosomiasis in Uganda: report of a stakeholders’ meeting held in Entebbe, Uganda

Author

Moses Egesa, Joseph Mfutso-Bengo, Melissa C. Kapulu, Maria Yazdanbakhsh, Asuman Muwumuza, Zoe Seager, Narcis B. Kabatereine, Edridah M. Tukahebwa, Meta Roestenberg, Tom Lutalo, Winfred Badanga Nazziwa, Alison M. Elliott, Pontiano Kaleebu, Anne Wajja, Christopher K Opio, Philip Bejon, Francis Angumya, Serah Gitome, and Moses Adriko

Subjects
Protocol (science), medicine.medical_specialty, Protective immunity, Community engagement, Applied Mathematics, 030231 tropical medicine, Voluntariness, Article, 3. Good health, 03 medical and health sciences, Controlled human infection model, Schistosoma mansoni, Uganda, The Netherlands, 0302 clinical medicine, Informed consent, Family medicine, Political science, medicine, University medical, 030212 general & internal medicine, Product (category theory), Risk assessment
Abstract

Controlled human infection (CHI) models are gaining recognition as an approach to accelerating vaccine development, for use in both non-endemic and endemic populations: they can facilitate identification of the most promising candidate vaccines for further trials and advance understanding of protective immunity. Helminths present a continuing health burden in sub-Saharan Africa. Vaccine development for these complex organisms is particularly challenging, partly because protective responses are akin to mechanisms of allergy. A CHI model for Schistosoma mansoni (CHI-S) has been developed at Leiden University Medical Centre, the Netherlands. However, responses to schistosome infections, and candidate vaccines, are likely to be different among people from endemic settings compared to schistosome-naïve Dutch volunteers. Furthermore, among volunteers from endemic regions who have acquired immune responses through prior exposure, schistosome challenge can be used to define responses associated with clinical protection, and thus to guide vaccine development. To explore the possibility of establishing the CHI-S in Uganda, a Stakeholders’ Meeting was held in Entebbe in 2017. Regulators, community members, researchers and policy-makers discussed implementation challenges and recommended preparatory steps: risk assessment; development of infrastructure and technical capacity to produce the infectious challenge material in Uganda; community engagement from Parliamentary to grass-roots level; pilot studies to establish approaches to assuring fully informed consent and true voluntariness, and strategies for selection of volunteers who can avoid natural infection during the 12-week CHI-S; the building of regulatory capacity; and the development of study protocols and a product dossier in close consultation with ethical and regulatory partners. It was recommended that, on completion, the protocol and product dossier be reviewed for approval in a joint meeting combining ethical, regulatory and environment management authorities. Most importantly, representatives of schistosomiasis-affected communities emphasised the urgent need for an effective vaccine and urged the research community not to delay in the development process.

Published
2019

47. Prognostic performance of ECG abnormalities compared to vital signs in acutely ill patients in a resource-poor hospital in Uganda

Author

Alfred Lumala, John Kellett, Martin Otyek Opio, Immaculate Nakitende, and Teopista Namujwiga

Subjects
medicine.medical_specialty, Original article, Vital signs, lcsh:Medicine, Logistic regression, Left ventricular hypertrophy, Prolonged QTc, Geochemistry and Petrology, Internal medicine, Medicine, cardiovascular diseases, Acute illness, Risk stratification, Early warning scores, Resource poor, lcsh:R5-920, business.industry, ECG, lcsh:R, medicine.disease, Early warning score, Emergency Medicine, Observational study, Abnormality, lcsh:Medicine (General), business, Gerontology
Abstract

Background: There are few reports of electrocardiogram (ECG) findings and their prognostic value in acutely ill patients admitted to low resource hospitals in sub-Saharan Africa. Methods: We undertook an observational study of acutely ill medical patients admitted to a low-resource hospital in Uganda. Vital signs were used to calculate the National Early Warning Score (NEWS), and all ECGs were assessed using Tan et al.’s scoring system as described in Clin Cardiol 2009;32:82–86. Results: There were 1361 ECGs performed, covering 68% of all acutely ill medical patients admitted to the hospital during the study. The most common ECG abnormality was a prolonged QTc interval (42% of all patients) and left ventricular hypertrophy (13.5%). Compared to the 519 patients (38%) with no Tan score abnormality, the 842 (62%) patients with one or more abnormalities were more likely to die in hospital (OR = 2.82; CI95% = 1.50–5.36) and within 30 days of discharge (OR = 2.46; CI95% = 1.50–4.08). There was no relationship between age and mortality; however, after adjustment by logistic regression, any NEWS ≥1 on admission, a Tan score of ≥1, and male sex all remained clinically significant predictors of both in-hospital and 30-day mortality. Discussion: The majority of acutely ill medical patients admitted in a low-resource hospital in sub-Saharan Africa had ECG abnormalities, of which prolonged QTc and left ventricular hypertrophy were most common. Those with any Tan score abnormality were twice as likely to die as those without an abnormality. Keywords: Acute illness, Early warning scores, Risk stratification, ECG, Prolonged QTc, Left ventricular hypertrophy

Published
2019

48. Spatial and temporal trends of cesarean deliveries in Uganda: 2012–2016

Author

Julie R. Harris, Bao-Ping Zhu, Blandina Nakiganda, Alex Riolexus Ario, Lilian Bulage, Denis Nixon Opio, Joseph K. B. Matovu, Nazarius Mbona Tumwesigye, Emily Atuheire, Daniel Kadobera, and Frank Kaharuza

Subjects
Adult, medicine.medical_specialty, Cesarean deliveries, Population, Reproductive medicine, Medical Overuse, lcsh:Gynecology and obstetrics, Health Services Accessibility, Obstetric care, Young Adult, 03 medical and health sciences, Spatio-Temporal Analysis, 0302 clinical medicine, Pregnancy, Secondary analysis, Humans, Medicine, Maternal Health Services, Uganda, 030212 general & internal medicine, Cesarean delivery, education, lcsh:RG1-991, National health, education.field_of_study, 030219 obstetrics & reproductive medicine, Cesarean Section, business.industry, Cesarean section rate, Infant, Newborn, Obstetrics and Gynecology, medicine.disease, Standard error, Female, Health Facilities, Trends, business, Research Article, Demography
Abstract

Background Cesarean section (CS) is an important intervention in complicated births when the safety of the mother or baby is compromised. Despite worldwide concerns about the overutilization of CS in recent years, many African women and their newborns still die because of limited or no access to CS services. We evaluated temporal and spatial trends in CS births in Uganda and modeled future trends to inform programming. Methods We performed secondary analysis of total births data from the Uganda National Health Management Information System (HMIS) reports during 2012–2016. We reviewed data from 3461 health facilities providing basic, essential obstetric and emergency obstetric care services in all 112 districts. We defined facility-based CS rate as the proportion of cesarean deliveries among total live births in facilities, and estimated the population-based CS rate using the total number of cesarean deliveries as a proportion of annual expected births (including facility-based and non-facility-based) for each district. We predicted CS rates for 2021 using Generalised Linear Models with Poisson family, Log link and Unbiased Sandwich Standard errors. We used cesarean deliveries as the dependent variable and calendar year as the independent variable. Results Cesarean delivery rates increased both at facility and population levels in Uganda. Overall, the CS rate for live births at facilities was 9.9%, increasing from 8.5% in 2012 to 11% in 2016. The overall population-based CS rate was 4.7%, and increased from 3.2 to 5.9% over the same period. Health Centre IV level facilities had the largest annual rate of increase in CS rate between 2012 and 2016. Among all 112 districts, 80 (72%) had a population CS rate below 5%, while 38 (34%) had a CS rate below 1% over the study period. Overall, Uganda’s facility-based CS rate is projected to increase by 36% (PRR 1.36, 95% CI 1.35–1.36) in 2021 while the population-based CS rate is estimated to have doubled (PRR 2.12, 95% CI 2.11–2.12) from the baseline in 2016. Conclusion Cesarean deliveries are increasing in Uganda. Health center IVs saw the largest increases in CS, and while there was regional heterogeneity in changes in CS rates, utilization of CS services is inadequate in most districts. We recommend expansion of CS services to improve availability.

Published
2019

49. 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. 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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

50. Ex vivo susceptibility of Plasmodium falciparum to antimalarial drugs in Northern Uganda

Author

Toshihiro Mita, Naoyuki Fukuda, Masatoshi Kataoka, Miki Sakurai-Yatsushiro, Shouki Yatsushiro, Osbert T. Katuro, Sakurako Emoto, Toshiyuki Mori, Masato Yamauchi, Muneaki Hashimoto, Makoto Sekihara, Martin D. Ogwang, Mie Ikeda, Makoto Hirai, Denis A Anywar, Walter Opio, Shin-Ichiro Tachibana, Nirianne Marie Q. Palacpac, Mary A. Auma, Toshihiro Horii, Betty Balikagala, Eisaku Kimura, Emmanuel I. Odongo-Aginya, and Paul S. Obwoya

Subjects
Plasmodium falciparum, Drug Resistance, Amodiaquine, Pharmacology, Lumefantrine, Antimalarials, chemistry.chemical_compound, Chloroquine, parasitic diseases, medicine, Uganda, Artemisinin, Quinine, biology, business.industry, Mefloquine, medicine.disease, biology.organism_classification, Artemisinins, Infectious Diseases, chemistry, Parasitology, business, Malaria, medicine.drug
Abstract

In Uganda, artemether-lumefantrine was introduced as an artemisinin-based combination therapy (ACT) for malaria in 2006. We have previously reported a moderate decrease in ex vivo efficacy of lumefantrine in Northern Uganda, where we also detected ex vivo artemisinin-resistant Plasmodium falciparum. Therefore, it is necessary to search for candidate partner alternatives for ACT. Here, we investigated ex vivo susceptibility to four ACT partner drugs as well as quinine and chloroquine, in 321 cases between 2013 and 2018. Drug-resistant mutations in pfcrt and pfmdr1 were also determined. Ex vivo susceptibility to amodiaquine, quinine, and chloroquine was well preserved, whereas resistance to mefloquine was found in 45.8%. There were few cases of multi-drug resistance. Reduced sensitivity to mefloquine and lumefantrine was significantly associated with the pfcrt K76 wild-type allele, in contrast to the association between chloroquine resistance and the K76T allele. Pfmdr1 duplication was not detected in any of the cases. Amodiaquine, a widely used partner drug for ACT in African countries, may be the first promising alternative in case lumefantrine resistance emerges. Therapeutic use of mefloquine may not be recommended in this area. This study also emphasizes the need for sustained monitoring of antimalarial susceptibility in Northern Uganda to develop proper treatment strategies.

Published
2021

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