Author: "Daniel C Casey" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Daniel C Casey"' showing total 21 results

Start Over Author "Daniel C Casey"

21 results on '"Daniel C Casey"'

1. Mapping local variation in educational attainment across Africa.

Author: Nicholas Graetz, Joseph Friedman, Aaron Osgood-Zimmerman, Roy Burstein, Molly H. Biehl, Chloe Shields, Jonathan F. Mosser, Daniel C. Casey, Aniruddha Deshpande, Lucas Earl, Robert C. Reiner, Sarah E. Ray, Nancy Fullman, Aubrey J. Levine, Rebecca W. Stubbs, Benjamin K. Mayala, Joshua Longbottom, Annie J. Browne, Samir Bhatt, Daniel J. Weiss, Peter W. Gething, Ali H. Mokdad, Stephen S. Lim, Christopher J. L. Murray, Emmanuela Gakidou, and Simon I. Hay
Published: 2018
Full Text: View/download PDF

2. Burden of non-communicable diseases from infectious causes in 2017: a modelling study

Author: Anthony Byrne, Emily B Wroe, Paul H. Park, Daniel C Casey, Neil Gupta, Alma J Adler, Alexander Kintu, Gene Bukhman, Matthew M Coates, Gene F. Kwan, and Ruma Rajbhandari
Subjects: 030231 tropical medicine, Population, Infections, medicine.disease_cause, Article, Global Burden of Disease, 03 medical and health sciences, 0302 clinical medicine, Cost of Illness, Risk Factors, Environmental health, medicine, Humans, 030212 general & internal medicine, Noncommunicable Diseases, education, Disease burden, High rate, Hepatitis B virus, education.field_of_study, Models, Statistical, business.industry, General Medicine, High systolic blood pressure, Increased risk, Relative risk, Infectious risk, business
Abstract: Summary Background Non-communicable diseases (NCDs) cause a large burden of disease globally. Some infectious diseases cause an increased risk of developing specific NCDs. Although the NCD burden from some infectious causes has been quantified, in this study, we aimed to more comprehensively quantify the global burden of NCDs from infectious causes. Methods In this modelling study, we identified NCDs with established infectious risk factors and infectious diseases with long-term non-communicable sequelae, and did narrative reviews between April 11, 2018, and June 10, 2020, to obtain relative risks (RRs) or population attributable fractions (PAFs) from studies quantifying the contribution of infectious causes to NCDs. To determine infection-attributable burden for the year 2017, we applied estimates of PAFs to estimates of disease burden from the Global Burden of Disease Study (GBD) 2017 for pairs of infectious causes and NCDs, or used estimates of attributable burden directly from GBD 2017. Morbidity and mortality burden from these conditions was summarised with age-standardised rates of disability-adjusted life-years (DALYs), for geographical regions as defined by the GBD. Estimates of NCD burden attributable to infectious causes were compared with attributable burden for the groups of risk factors with the highest PAFs from GBD 2017. Findings Globally, we quantified 130 million DALYs from NCDs attributable to infection, comprising 8·4% of all NCD DALYs. The infection–NCD pairs with the largest burden were gastric cancer due to H pylori (14·6 million DALYs), cirrhosis and other chronic liver diseases due to hepatitis B virus (12·2 million) and hepatitis C virus (10·4 million), liver cancer due to hepatitis B virus (9·4 million), rheumatic heart disease due to streptococcal infection (9·4 million), and cervical cancer due to HPV (8·0 million). Age-standardised rates of infection-attributable NCD burden were highest in Oceania (3564 DALYs per 100 000 of the population) and central sub-Saharan Africa (2988 DALYs per 100 000) followed by the other sub-Saharan African regions, and lowest in Australia and New Zealand (803 DALYs per 100 000) followed by other high-income regions. In sub-Saharan Africa, the proportion of crude NCD burden attributable to infectious causes was 11·7%, which was higher than the proportion of burden attributable to each of several common risk factors of NCDs (tobacco, alcohol use, high systolic blood pressure, dietary risks, high fasting plasma glucose, air pollution, and high LDL cholesterol). In other broad regions, infectious causes ranked between fifth and eighth in terms of crude attributable proportions among the nine risks compared. The age-standardised attributable proportion for infectious risks remained highest in sub-Saharan Africa of the broad regions, but age-standardisation caused infectious risks to fall below dietary risks, high systolic blood pressure, and fasting plasma glucose in ranked attributable proportions within the region. Interpretation Infectious conditions cause substantial NCD burden with clear regional variation, and estimates of this burden are likely to increase as evidence that can be used for quantification expands. To comprehensively avert NCD burden, particularly in low-income and middle-income countries, the availability, coverage, and quality of cost-effective interventions for key infectious conditions need to be strengthened. Efforts to promote universal health coverage must address infectious risks leading to NCDs, particularly in populations with high rates of these infectious conditions, to reduce existing regional disparities in rates of NCD burden. Funding Leona M and Harry B Helmsley Charitable Trust.
Published: 2020
Full Text: View/download PDF

3. Emergence of New Disease: How Can Artificial Intelligence Help?

Author: Daniel C Casey, Jiming Zhu, Yurim Park, Feng Cheng, and Indra Joshi
Subjects: 0301 basic medicine, Coronavirus disease 2019 (COVID-19), Computer science, Pneumonia, Viral, Disease, Communicable Diseases, Emerging, Article, Machine Learning, Betacoronavirus, 03 medical and health sciences, Human health, 0302 clinical medicine, Artificial Intelligence, Pandemic, Humans, Pandemics, Molecular Biology, SARS-CoV-2, business.industry, Rapid processing, COVID-19, 030104 developmental biology, Drug development, Critical parameter, New disease, Molecular Medicine, Artificial intelligence, Coronavirus Infections, business, 030217 neurology & neurosurgery
Abstract: Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across disease prediction and drug development in relation to the COVID-19 pandemic are reviewed.
Published: 2020
Full Text: View/download PDF

4. 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

5. Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

Author: Nicole Van Lipzig, Sébastien Dujardin, Taïs Grippa, Catherine Linard, Verónica Andreo, Daniel C Casey, Nicholus Mboga, Stefanos Georganos, Marco Milliones, Robert W. Snow, Benoit Parmentier, Sabine Vanhuysse, Oscar Brousse, Matthias Demuzere, and Moritz Lennert
Subjects: Marsh, Urban Population, 010504 meteorology & atmospheric sciences, Distribution (economics), Management and Accounting, Tanzania, 01 natural sciences, purl.org/becyt/ford/1 [https], purl.org/becyt/ford/1.5 [https], 0302 clinical medicine, Human geography, INFECTION, Medicine and Health Sciences, EPIDEMIOLOGY, Uganda, Child, Socioeconomics, Public, Environmental & Occupational Health, RISK, education.field_of_study, geography.geographical_feature_category, PLASMODIUM-FALCIPARUM, General Business, Vegetation, Remote sensing, Geography, Child, Preschool, Economie, lcsh:R858-859.7, purl.org/becyt/ford/3 [https], Public Health, DAR-ES-SALAAM, Life Sciences & Biomedicine, Urban malaria, AFRICA, General Computer Science, TRANSMISSION, Health geography, Plasmodium falciparum, 030231 tropical medicine, Population, Kampala, lcsh:Computer applications to medicine. Medical informatics, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, parasitic diseases, Dar es Salaam, medicine, Animals, Humans, Parasites, COHORT, Cities, purl.org/becyt/ford/1.6 [https], education, Urban agriculture, 0105 earth and related environmental sciences, Science & Technology, business.industry, Informatique générale, Research, Environmental and Occupational Health, Public Health, Environmental and Occupational Health, medicine.disease, General Business, Management and Accounting, business, Malaria, Random forest
Abstract: BACKGROUND: The rapid and often uncontrolled rural-urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa's population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while socio-economic inequalities within the urban settings are intensified. Few studies, relying mostly on moderate to high resolution datasets and standard predictive variables such as building and vegetation density, have tackled the topic of modeling intra-urban malaria at the city extent. In this research, we investigate the contribution of very-high-resolution satellite-derived land-use, land-cover and population information for modeling the spatial distribution of urban malaria prevalence across large spatial extents. As case studies, we apply our methods to two Sub-Saharan African cities, Kampala and Dar es Salaam. METHODS: Openly accessible land-cover, land-use, population and OpenStreetMap data were employed to spatially model Plasmodium falciparum parasite rate standardized to the age group 2-10 years (PfPR2-10) in the two cities through the use of a Random Forest (RF) regressor. The RF models integrated physical and socio-economic information to predict PfPR2-10 across the urban landscape. Intra-urban population distribution maps were used to adjust the estimates according to the underlying population. RESULTS: The results suggest that the spatial distribution of PfPR2-10 in both cities is diverse and highly variable across the urban fabric. Dense informal settlements exhibit a positive relationship with PfPR2-10 and hotspots of malaria prevalence were found near suitable vector breeding sites such as wetlands, marshes and riparian vegetation. In both cities, there is a clear separation of higher risk in informal settlements and lower risk in the more affluent neighborhoods. Additionally, areas associated with urban agriculture exhibit higher malaria prevalence values. CONCLUSIONS: The outcome of this research highlights that populations living in informal settlements show higher malaria prevalence compared to those in planned residential neighborhoods. This is due to (i) increased human exposure to vectors, (ii) increased vector density and (iii) a reduced capacity to cope with malaria burden. Since informal settlements are rapidly expanding every year and often house large parts of the urban population, this emphasizes the need for systematic and consistent malaria surveys in such areas. Finally, this study demonstrates the importance of remote sensing as an epidemiological tool for mapping urban malaria variations at large spatial extents, and for promoting evidence-based policy making and control efforts., SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2020
Full Text: View/download PDF

6. Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a spatial and temporal modelling study

Author: Mohsen Naghavi, Ali H. Mokdad, Michael P Thorn, Peter W. Gething, Ric N. Price, Haidong Wang, Michele Nguyen, Michael Kutz, Grant Nguyen, Katya Anne Shackelford, Xie Rachel Kulikoff, Tim C.D. Lucas, Ursula Dalrymple, Anita Nandi, Daniel A. Pfeffer, Puja C Rao, Rosalind E. Howes, Alan D. Lopez, Ewan Cameron, Jennifer Rozier, Nancy Fullman, Daniel C Casey, Emma L. Collins, Harry S. Gibson, Chantal Huynh, Theo Vos, Samir Bhatt, Christopher J L Murray, Suzanne H. Keddie, Donal Bisanzio, J. Kevin Baird, Stephen S Lim, David L. Smith, Simon I. Hay, Daniel J. Weiss, Katherine E. Battle, Carlos A. Guerra, Katherine A. Twohig, and Joseph R Harris
Subjects: medicine.medical_specialty, Endemic Diseases, Oceania, Plasmodium vivax, Disease, 030204 cardiovascular system & hematology, Global Health, Article, 03 medical and health sciences, Medicine, General & Internal, MALARIA, Spatio-Temporal Analysis, 0302 clinical medicine, General & Internal Medicine, Epidemiology, parasitic diseases, Malaria, Vivax, medicine, Global health, Humans, 030212 general & internal medicine, Socioeconomic status, Asia, Southeastern, 11 Medical and Health Sciences, Science & Technology, biology, Incidence (epidemiology), 1. No poverty, Bayes Theorem, Plasmodium falciparum, General Medicine, biology.organism_classification, medicine.disease, 3. Good health, Geography, Population Surveillance, Africa, Americas, Life Sciences & Biomedicine, Malaria, Demography
Abstract: Summary Background Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global distribution. Given the challenges associated with the proper diagnosis and treatment of P vivax , national malaria programmes—particularly those pursuing malaria elimination strategies—require up to date assessments of P vivax endemicity and disease impact. This study presents the first global maps of P vivax clinical burden from 2000 to 2017. Methods In this spatial and temporal modelling study, we adjusted routine malariometric surveillance data for known biases and used socioeconomic indicators to generate time series of the clinical burden of P vivax . These data informed Bayesian geospatial models, which produced fine-scale predictions of P vivax clinical incidence and infection prevalence over time. Within sub-Saharan Africa, where routine surveillance for P vivax is not standard practice, we combined predicted surfaces of Plasmodium falciparum with country-specific ratios of P vivax to P falciparum . These results were combined with surveillance-based outputs outside of Africa to generate global maps. Findings We present the first high-resolution maps of P vivax burden. These results are combined with those for P falciparum (published separately) to form the malaria estimates for the Global Burden of Disease 2017 study. The burden of P vivax malaria decreased by 41·6%, from 24·5 million cases (95% uncertainty interval 22·5–27·0) in 2000 to 14·3 million cases (13·7–15·0) in 2017. The Americas had a reduction of 56·8% (47·6–67·0) in total cases since 2000, while South-East Asia recorded declines of 50·5% (50·3–50·6) and the Western Pacific regions recorded declines of 51·3% (48·0–55·4). Europe achieved zero P vivax cases during the study period. Nonetheless, rates of decline have stalled in the past five years for many countries, with particular increases noted in regions affected by political and economic instability. Interpretation Our study highlights important spatial and temporal patterns in the clinical burden and prevalence of P vivax . Amid substantial progress worldwide, plateauing gains and areas of increased burden signal the potential for challenges that are greater than expected on the road to malaria elimination. These results support global monitoring systems and can inform the optimisation of diagnosis and treatment where P vivax has most impact. Funding Bill & Melinda Gates Foundation and the Wellcome Trust.
Published: 2019

7. Mapping diphtheria-pertussis-tetanus vaccine coverage in Africa, 2000–2016: a spatial and temporal modelling study

Author: Daniel C Casey, Robert C. Reiner, William C. Gagne-Maynard, Freya M Shearer, Peter W. Gething, Daniel J. Weiss, Roy Burstein, Elizabeth A. Cromwell, Aniruddha Deshpande, Nancy Fullman, Christopher J L Murray, Aaron Osgood-Zimmerman, Lucas Earl, Nicholas Graetz, Stephen S Lim, Patrick Y Liu, Jonathan F. Mosser, Heidi J. Larson, Sarah E Ray, David M. Pigott, Samir Bhatt, Puja C Rao, Simon I. Hay, Rachel L Updike, and Laura Dwyer-Lindgren
Subjects: Vaccination Coverage, Inequality, Somalia, media_common.quotation_subject, Childhood vaccination, 030204 cardiovascular system & hematology, Health outcomes, Article, 03 medical and health sciences, Spatio-Temporal Analysis, 0302 clinical medicine, Cost of Illness, medicine, Humans, 030212 general & internal medicine, Socioeconomics, Diphtheria-Tetanus-Pertussis Vaccine, media_common, Tetanus, Immunization Programs, Diphtheria, Vaccination, Rwanda, Infant, General Medicine, Models, Theoretical, medicine.disease, Morocco, Geography, Angola, Socioeconomic Factors, Action plan, Africa, Diphtheria-Pertussis-Tetanus Vaccine, Guinea, Immunization, Ethiopia, Geographical inequalities, Delivery of Health Care
Abstract: Summary Background Routine childhood vaccination is among the most cost-effective, successful public health interventions available. Amid substantial investments to expand vaccine delivery throughout Africa and strengthen administrative reporting systems, most countries still require robust measures of local routine vaccine coverage and changes in geographical inequalities over time. Methods This analysis drew from 183 surveys done between 2000 and 2016, including data from 881 268 children in 49 African countries. We used a Bayesian geostatistical model calibrated to results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, to produce annual estimates with high-spatial resolution (5 × 5 km) of diphtheria-pertussis-tetanus (DPT) vaccine coverage and dropout for children aged 12–23 months in 52 African countries from 2000 to 2016. Findings Estimated third-dose (DPT3) coverage increased in 72·3% (95% uncertainty interval [UI] 64·6–80·3) of second-level administrative units in Africa from 2000 to 2016, but substantial geographical inequalities in DPT coverage remained across and within African countries. In 2016, DPT3 coverage at the second administrative (ie, district) level varied by more than 25% in 29 of 52 countries, with only two (Morocco and Rwanda) of 52 countries meeting the Global Vaccine Action Plan target of 80% DPT3 coverage or higher in all second-level administrative units with high confidence (posterior probability ≥95%). Large areas of low DPT3 coverage (≤50%) were identified in the Sahel, Somalia, eastern Ethiopia, and in Angola. Low first-dose (DPT1) coverage (≤50%) and high relative dropout (≥30%) together drove low DPT3 coverage across the Sahel, Somalia, eastern Ethiopia, Guinea, and Angola. Interpretation Despite substantial progress in Africa, marked national and subnational inequalities in DPT coverage persist throughout the continent. These results can help identify areas of low coverage and vaccine delivery system vulnerabilities and can ultimately support more precise targeting of resources to improve vaccine coverage and health outcomes for African children. Funding Bill & Melinda Gates Foundation.
Published: 2019
Full Text: View/download PDF

8. Identifying residual hotspots and mapping lower respiratory infection morbidity and mortality in African children from 2000 to 2017

Author: Joseph Frostad, Simon I. Hay, Kirsten E. Wiens, Brigette F. Blacker, Grant Rodgers Kemp, Peter W. Gething, Roy Burstein, Nicholas Graetz, Sandra B. Munro, Ibrahim A Khalil, Robert C. Reiner, Mathew M. Baumann, Christopher J L Murray, Catherine A. Welgan, Jonathan F. Mosser, Molly K. Miller-Petrie, Samir Bhatt, David L. Smith, Paulina A. Lindstedt, Scott J. Swartz, Oliver J. Brady, Aaron Osgood-Zimmerman, Aniruddha Deshpande, Nicholas J Kassebaum, Puja C Rao, Lucas Earl, Christopher Troeger, Laura Dwyer-Lindgren, Tamer H. Farag, Laurie B. Marczak, Sarah E Ray, Daniel J. Weiss, Moritz U. G. Kraemer, Ian Davis, Jennifer M. Ross, David M. Pigott, QuynhAnh P. Nguyen, Nicole Davis Weaver, Ali H. Mokdad, and Daniel C Casey
Subjects: Microbiology (medical), Change over time, medicine.medical_specialty, Epidemiology, Immunology, 030204 cardiovascular system & hematology, Disease cluster, Applied Microbiology and Biotechnology, Microbiology, Policy and public health in microbiology, Article, 03 medical and health sciences, Health services, 0302 clinical medicine, Environmental health, Genetics, medicine, Prevalence, Humans, 030212 general & internal medicine, Lower respiratory infection, Respiratory Tract Infections, Health policy, Cause of death, Respiratory tract diseases, Infectious-disease epidemiology, business.industry, Incidence (epidemiology), Incidence, Infant, Newborn, Infant, Bayes Theorem, Cell Biology, Risk factors, Child, Preschool, Africa, Public Health, Morbidity, business
Abstract: Lower respiratory infections (LRIs) are the leading cause of death in children under the age of 5, despite the existence of vaccines against many of their aetiologies. Furthermore, more than half of these deaths occur in Africa. Geospatial models can provide highly detailed estimates of trends subnationally, at the level where implementation of health policies has the greatest impact. We used Bayesian geostatistical modelling to estimate LRI incidence, prevalence and mortality in children under 5 subnationally in Africa for 2000–2017, using surveys covering 1.46 million children and 9,215,000 cases of LRI. Our model reveals large within-country variation in both health burden and its change over time. While reductions in childhood morbidity and mortality due to LRI were estimated for almost every country, we expose a cluster of residual high risk across seven countries, which averages 5.5 LRI deaths per 1,000 children per year. The preventable nature of the vast majority of LRI deaths mandates focused health system efforts in specific locations with the highest burden., Geospatial modelling shows an overall decline in morbidity and mortality due to lower respiratory infections in Africa from 2000 to 2017, but also identifies subnational areas with residual high risk.
Published: 2019

9. Alcohol‐attributed disease burden in four Nordic countries: a comparison using the Global Burden of Disease, Injuries and Risk Factors 2013 study

Author: Astrid Ledgaard Holm, Knud Juel, Matthew M Coates, Mohesen Naghavi, Emilie Agardh, Ann Kristin Knudsen, Pia Mäkelä, Anna-Karin Danielsson, Daniel C Casey, Vegard Skirbekk, Richard A. White, Mats Ramstedt, Peter Allebeck, Jonas Minet Kinge, Mohammad H. Forouzanfar, Finn Diderichsen, and Stein Emil Vollset
Subjects: Research Report, Adult, Male, comparative risk assessment, 030508 substance abuse, Medicine (miscellaneous), Poison control, Alcohol use disorder, Disease, Scandinavian and Nordic Countries, Occupational safety and health, Global Burden of Disease, disease burden, 03 medical and health sciences, 0302 clinical medicine, Cost of Illness, Risk Factors, Environmental health, Injury prevention, medicine, Humans, Disabled Persons, consumption, 030212 general & internal medicine, Disease burden, Aged, comparative, Mortality, Premature, business.industry, Research Reports, Middle Aged, medicine.disease, Quality-adjusted life year, Psychiatry and Mental health, Nordic countries, Wounds and Injuries, Female, Quality-Adjusted Life Years, Alcohol, 0305 other medical science, business, Risk assessment, Alcohol-Related Disorders
Abstract: Aims: (1) To compare alcohol-attributed disease burden in four Nordic countries 1990–2013, by overall disability-adjusted life years (DALYs) and separated by premature mortality [years of life lost (YLL)] and health loss to non-fatal conditions [years lived with disability (YLD)]; (2) to examine whether changes in alcohol consumption informs alcohol-attributed disease burden; and (3) to compare the distribution of disease burden separated by causes. Design: A comparative risk assessment approach. Setting: Sweden, Norway, Denmark and Finland. Participants: Male and female populations of each country. Measurements: Age-standardized DALYs, YLLs and YLDs per 100 000 with 95% uncertainty intervals (UIs). Findings: In Finland, with the highest burden over the study period, overall alcohol-attributed DALYs were 1616 per 100 000 in 2013, while in Norway, with the lowest burden, corresponding estimates were 634. DALYs in Denmark were 1246 and in Sweden 788. In Denmark and Finland, changes in consumption generally corresponded to changes in disease burden, but not to the same extent in Sweden and Norway. All countries had a similar disease pattern and the majority of DALYs were due to YLLs (62–76%), mainly from alcohol use disorder, cirrhosis, transport injuries, self-harm and violence. YLDs from alcohol use disorder accounted for 41% and 49% of DALYs in Denmark and Finland compared to 63 and 64% in Norway and Sweden 2013, respectively. Conclusions: Finland and Denmark has a higher alcohol-attributed disease burden than Sweden and Norway in the period 1990–2013. Changes in consumption levels in general corresponded to changes in harm in Finland and Denmark, but not in Sweden and Norway for some years. All countries followed a similar pattern. The majority of disability-adjusted life years were due to premature mortality. Alcohol use disorder by non-fatal conditions accounted for a higher proportion of disability-adjusted life years in Norway and Sweden, compared with Finland and Denmark. publishedVersion
Published: 2016
Full Text: View/download PDF

10. Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21)

Author: Daniel C Casey and Stuart E. Hamilton
Subjects: 0106 biological sciences, Global and Planetary Change, 010504 meteorology & atmospheric sciences, Ecology, Database, 010604 marine biology & hydrobiology, Biodiversity, Climate change, computer.software_genre, 01 natural sciences, Ecosystem services, Blue carbon, Geography, Deforestation, Terrestrial ecosystem, Mangrove, Protected area, computer, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences
Abstract: Aim To provide high-resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, carbon stocks, climate change, functionality, food security, livelihoods, fisheries support and conservation that have been impeded until now by a lack of suitable data. Location Global, covering 99% of all mangrove forests. Methods We synthesized the Global Forest Change database, the Terrestrial Ecosystems of the World database and the Mangrove Forests of the World database to extract mangrove forest cover at high spatial and temporal resolutions. We then used the new database to monitor mangrove cover at the global, national and protected area scales. Results Countries showing relatively high amounts of mangrove loss include Myanmar, Malaysia, Cambodia, Indonesia and Guatemala. Indonesia remains by far the largest mangrove-holding nation, containing between 26% and 29% of the global mangrove inventory with a deforestation rate of between 0.26% and 0.66% per year. We have made our new database, CGMFC-21, freely available. Main conclusions Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% per year. Southeast Asia is a region of concern with mangrove deforestation rates between 3.58% and 8.08%, this in a region containing half of the entire global mangrove forest inventory. The global mangrove deforestation pattern from 2000 to 2012 is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove-holding region of Southeast Asia. We provide a standardized spatial dataset that monitors mangrove deforestation globally at high spatio-temporal resolutions. These data can be used to drive the mangrove research agenda, particularly as it pertains to monitoring of mangrove carbon stocks and the establishment of baseline local mangrove forest inventories required for payment for ecosystem service initiatives.
Published: 2016
Full Text: View/download PDF

11. Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000-17: a spatial and temporal modelling study

Author: Ursula Dalrymple, Nancy Fullman, Emma L. Collins, Simon I. Hay, Naomi Gray, Joseph R Harris, Ryan M Barber, Tim C.D. Lucas, Ewan Cameron, Xie Rachel Kulikoff, David L. Smith, Harry S. Gibson, Michael Kutz, Susan F. Rumisha, Michael P Thorn, Chantal Huynh, Jennifer Rozier, Donal Bisanzio, Daniel A. Pfeffer, Rosalind E. Howes, Alan D. Lopez, Haidong Wang, Mohsen Naghavi, Sun Yun Kang, Ali H. Mokdad, Daniel C Casey, Katya Anne Shackelford, Anita Nandi, Theo Vos, Suzanne H. Keddie, Samir Bhatt, Katherine E. Battle, Stephen S Lim, Michele Nguyen, Daniel May, Puja C Rao, Katherine A. Twohig, Christopher J L Murray, Grant Nguyen, Amelia Bertozzi-Villa, Peter W. Gething, Daniel J. Weiss, Medical Research Council (MRC), and Bill & Melinda Gates Foundation
Subjects: AFRICA, Cross-sectional study, Plasmodium vivax, Population, 030204 cardiovascular system & hematology, Global Health, Article, 03 medical and health sciences, Medicine, General & Internal, MALARIA, 0302 clinical medicine, Spatio-Temporal Analysis, General & Internal Medicine, parasitic diseases, Global health, medicine, Prevalence, Humans, Organizational Objectives, 030212 general & internal medicine, Malaria, Falciparum, Mortality, education, 11 Medical and Health Sciences, Africa South of the Sahara, education.field_of_study, Science & Technology, biology, Incidence (epidemiology), Incidence, Plasmodium falciparum, General Medicine, medicine.disease, biology.organism_classification, Verbal autopsy, ENDEMICITY, Geography, Cross-Sectional Studies, Life Sciences & Biomedicine, Malaria, Demography
Abstract: Background: Since 2000, the scale-up of malaria control interventions has substantially reduced morbidity and mortality caused by the disease globally, fuelling bold aims for disease elimination. In tandem with increased availability of geospatially resolved data, malaria control programmes increasingly use high-resolution maps to characterise spatially heterogeneous patterns of disease risk and thus efficiently target areas of high burden. Methods: We updated and refined the Plasmodium falciparum parasite rate and clinical incidence models for sub-Saharan Africa, which rely on cross-sectional survey data for parasite rate and intervention coverage. For malaria endemic countries outside of sub-Saharan Africa, we produced estimates of parasite rate and incidence by applying an ecological downscaling approach to malaria incidence data acquired via routine surveillance. Mortality estimates were derived by linking incidence to systematically derived vital registration and verbal autopsy data. Informed by high-resolution covariate surfaces, we estimated P falciparum parasite rate, clinical incidence, and mortality at national, subnational, and 5 × 5 km pixel scales with corresponding uncertainty metrics. Findings: We present the first global, high-resolution map of P falciparum malaria mortality and the first global prevalence and incidence maps since 2010. These results are combined with those for Plasmodium vivax (published separately) to form the malaria estimates for the Global Burden of Disease 2017 study. The P falciparum estimates span the period 2000–17, and illustrate the rapid decline in burden between 2005 and 2017, with incidence declining by 27·9% and mortality declining by 42·5%. Despite a growing population in endemic regions, P falciparum cases declined between 2005 and 2017, from 232·3 million (95% uncertainty interval 198·8–277·7) to 193·9 million (156·6–240·2) and deaths declined from 925 800 (596 900–1 341 100) to 618 700 (368 600–952 200). Despite the declines in burden, 90·1% of people within sub-Saharan Africa continue to reside in endemic areas, and this region accounted for 79·4% of cases and 87·6% of deaths in 2017. Interpretation: High-resolution maps of P falciparum provide a contemporary resource for informing global policy and malaria control planning, programme implementation, and monitoring initiatives. Amid progress in reducing global malaria burden, areas where incidence trends have plateaued or increased in the past 5 years underscore the fragility of hard-won gains against malaria. Efforts towards elimination should be strengthened in such areas, and those where burden remained high throughout the study period.
Published: 2018

12. Variation in Childhood Diarrheal Morbidity and Mortality in Africa, 2000-2015

Author: Scott J. Swartz, David L. Smith, Aaron Osgood-Zimmerman, Puja C Rao, Oliver J. Brady, Aniruddha Deshpande, Nicholas J Kassebaum, Christopher J L Murray, Ian D. Letourneau, Nicholas Graetz, Gregory M. Garcia, Ibrahim A Khalil, David M. Pigott, Robert Reiner, Lucas Earl, Ali H. Mokdad, Samir Bhatt, Jonathan F. Mosser, Jennifer M. Ross, Daniel J. Weiss, Peter W. Gething, Roy Burstein, Moritz U. G. Kraemer, Ian Davis, Sarah E Ray, Simon I. Hay, Brigette F. Blacker, Christopher Troeger, Tamer H. Farag, Daniel C Casey, and Medical Research Council (MRC)
Subjects: Diarrhea, YOUNG-CHILDREN, Sanitation, 030231 tropical medicine, Developing country, Disease, DISEASE, 03 medical and health sciences, 0302 clinical medicine, Medicine, General & Internal, MALARIA, SANITATION, Environmental health, General & Internal Medicine, ROTAVIRUS VACCINATION, medicine, Credible interval, SYSTEMATIC ANALYSIS, Prevalence, Humans, 030212 general & internal medicine, Severe diarrhea, DEVELOPING-COUNTRIES, Geography, Medical, Mortality, 11 Medical and Health Sciences, Science & Technology, PLASMODIUM-FALCIPARUM, business.industry, Incidence (epidemiology), Incidence, Infant, Bayes Theorem, General Medicine, GLOBAL BURDEN, medicine.disease, Child, Preschool, Africa, HEALTH, medicine.symptom, business, Life Sciences & Biomedicine, Malaria
Abstract: BACKGROUND: Diarrheal diseases are the third leading cause of disease and death in children younger than 5 years of age in Africa and were responsible for an estimated 30 million cases of severe diarrhea (95% credible interval, 27 million to 33 million) and 330,000 deaths (95% credible interval, 270,000 to 380,000) in 2015. The development of targeted approaches to address this burden has been hampered by a paucity of comprehensive, fine-scale estimates of diarrhea-related disease and death among and within countries. METHODS: We produced annual estimates of the prevalence and incidence of diarrhea and diarrhea-related mortality with high geographic detail (5 km2) across Africa from 2000 through 2015. Estimates were created with the use of Bayesian geostatistical techniques and were calibrated to the results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. RESULTS: The results revealed geographic inequality with regard to diarrhea risk in Africa. Of the estimated 330,000 childhood deaths that were attributable to diarrhea in 2015, more than 50% occurred in 55 of the 782 first-level administrative subdivisions (e.g., states). In 2015, mortality rates among first-level administrative subdivisions in Nigeria differed by up to a factor of 6. The case fatality rates were highly varied at the national level across Africa, with the highest values observed in Benin, Lesotho, Mali, Nigeria, and Sierra Leone. CONCLUSIONS: Our findings showed concentrated areas of diarrheal disease and diarrhea-related death in countries that had a consistently high burden as well as in countries that had considerable national-level reductions in diarrhea burden. (Funded by the Bill and Melinda Gates Foundation.).
Published: 2018

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

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

14. Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

Author: Ivy Shiue, Charis Gresser, S. M. Biryukov, Alison Tedstone, Harry Rutter, Matthew M Coates, Bernadette M. Hannigan, Martin McKee, Austin E Schumacher, Mohammad H. Forouzanfar, Henrik Møller, Rupert R A Bourne, Michele E. Murdoch, John N Newton, Carol Brayne, Julia A Critchley, Roderick J. Hay, Anthony D. Woolf, Theo Vos, Harry Hemingway, Derek F J Fay, Majid Ezzati, Adrian Davis, Charles D.A. Wolfe, Amanda J. Mason-Jones, Adam D M Briggs, Daniel C Casey, Nigel Bruce, Rajiv Chowdhury, Daniel Pope, Kyle J Foreman, Jürgen C Schmidt, Heidi J. Larson, Katharine J Looker, Daniel Dicker, Simon I. Hay, Thomas Fürst, Andrew Hughes, Jonathan Valabhji, Kazem Rahimi, Summer Lockett Ohno, Mohsen Naghavi, Traolach S. Brugha, Wagner Marcenes, Alina Rodriguez, Eduardo Bernabé, Kamaldeep Bhui, Hywel C Williams, Paul Elliott, Fiona E. Matthews, Ryan M Barber, Simon Capewell, Russell Ecob, David Gunnell, Michael Burch, Ibrahim Abubakar, Paul I. Dargan, H. Ross Anderson, Mark A. Green, Liam Smeeth, Jeffrey D. Stanaway, Maya S Fraser, Felix Greaves, Neil Pearce, Amitava Banerjee, Ronan A Lyons, R. Ali, Charles R. Newton, Mukesh Dherani, Peter Scarborough, Kevin A. Fenton, Cyrus Cooper, Christopher J L Murray, Frédéric B. Piel, Haidong Wang, Raimundas Lunevicius, Derrick A Bennett, Brayne, Carol [0000-0001-5307-663X], Chowdhury, Rajiv [0000-0003-4881-5690], Matthews, Fiona [0000-0002-1728-2388], and Apollo - University of Cambridge Repository
Subjects: Gerontology, Male, Health Status, Disease, 030204 cardiovascular system & hematology, 0302 clinical medicine, Risk Factors, Cause of Death, Poverty Areas, Prevalence, Medicine, Life Tables, 030212 general & internal medicine, media_common, Aged, 80 and over, Medicine(all), DEMENTIA, Mortality rate, Incidence, PRIMARY-CARE, DEATH, Public Health, Global Health, Social Medicine and Epidemiology, 11 Medical And Health Sciences, General Medicine, ALZHEIMERS-DISEASE, England, Female, Life Sciences & Biomedicine, medicine.medical_specialty, INTEGRATED APPROACH, 187 COUNTRIES, 03 medical and health sciences, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, media_common.cataloged_instance, Humans, European union, Health policy, Aged, Science & Technology, business.industry, MORTALITY, Public health, Health Status Disparities, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, PRIMARY LIVER-CANCER, Attributable risk, Life expectancy, L510 Health & Welfare, business, Demography
Abstract: Background In the Global Burden of Disease Study 2013 (GBD 2013), knowledge about health and its determinants has been integrated into a comparable framework to inform health policy. Outputs of this analysis are relevant to current policy questions in England and elsewhere, particularly on health inequalities. We use GBD 2013 data on mortality and causes of death, and disease and injury incidence and prevalence to analyse the burden of disease and injury in England as a whole, in English regions, and within each English region by deprivation quintile. We also assess disease and injury burden in England attributable to potentially preventable risk factors. England and the English regions are compared with the remaining constituent countries of the UK and with comparable countries in the European Union (EU) and beyond. Methods We extracted data from the GBD 2013 to compare mortality, causes of death, years of life lost (YLLs), years lived with a disability (YLDs), and disability-adjusted life-years (DALYs) in England, the UK, and 18 other countries (the first 15 EU members [apart from the UK] and Australia, Canada, Norway, and the USA [EU15+]). We extended elements of the analysis to English regions, and subregional areas defined by deprivation quintile (deprivation areas). We used data split by the nine English regions (corresponding to the European boundaries of the Nomenclature for Territorial Statistics level 1 [NUTS 1] regions), and by quintile groups within each English region according to deprivation, thereby making 45 regional deprivation areas. Deprivation quintiles were defined by area of residence ranked at national level by Index of Multiple Deprivation score, 2010. Burden due to various risk factors is described for England using new GBD methodology to estimate independent and overlapping attributable risk for five tiers of behavioural, metabolic, and environmental risk factors. We present results for 306 causes and 2337 sequelae, and 79 risks or risk clusters. Findings Between 1990 and 2013, life expectancy from birth in England increased by 5·4 years (95% uncertainty interval 5·0-5·8) from 75·9 years (75·9-76·0) to 81·3 years (80·9-81·7); gains were greater for men than for women. Rates of age-standardised YLLs reduced by 41·1% (38·3-43·6), whereas DALYs were reduced by 23·8% (20·9-27·1), and YLDs by 1·4% (0·1-2·8). For these measures, England ranked better than the UK and the EU15+ means. Between 1990 and 2013, the range in life expectancy among 45 regional deprivation areas remained 8·2 years for men and decreased from 7·2 years in 1990 to 6·9 years in 2013 for women. In 2013, the leading cause of YLLs was ischaemic heart disease, and the leading cause of DALYs was low back and neck pain. Known risk factors accounted for 39·6% (37·7-41·7) of DALYs; leading behavioural risk factors were suboptimal diet (10·8% [9·1-12·7]) and tobacco (10·7% [9·4-12·0]). Interpretation Health in England is improving although substantial opportunities exist for further reductions in the burden of preventable disease. The gap in mortality rates between men and women has reduced, but marked health inequalities between the least deprived and most deprived areas remain. Declines in mortality have not been matched by similar declines in morbidity, resulting in people living longer with diseases. Health policies must therefore address the causes of ill health as well as those of premature mortality. Systematic action locally and nationally is needed to reduce risk exposures, support healthy behaviours, alleviate the severity of chronic disabling disorders, and mitigate the effects of socioeconomic deprivation. Funding Bill & Melinda Gates Foundation and Public Health England. © 2015 Newton et al. Open Access article distributed under the terms of CC BY. Export Date: 21 December 2015 CODEN: LANCA Correspondence Address: Newton, J.N.; Public Health England, Wellington HouseUnited Kingdom; email: john.newton@phe.gov.uk References: Murray C.J.L., Richards M.A., Newton J.N., UK health performance: Findings of the Global Burden of Disease Study 2010 (2013) Lancet, 381, pp. 997-1020; Greer S.L., Devolution and divergence in UK health policies (2008) BMJ, 337, p. a2616; England N.H.S., (2014) Five Year Forward View, , http://www.england.nhs.uk/ourwork/futurenhs/, (accessed Aug 24, 2015); Naghavi M., Wang H., Lozano R., Global, regional and national levels of age-specific mortality and 240 causes of death, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013 (2015) Lancet, 385, pp. 117-171; Global, regional, and national incidence, prevalence, and years lived with disabilities for 301 acute and chronic diseases and injuries for 188 countries, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013 (2015) Lancet, 386, pp. 743-800; Global, regional, and national comparative risk assessment of 76 behavioural, environmental, occupational, and metabolic risks or clusters of risks in 188 countries 1990-2013: A systematic analysis for the Global Burden of Disease study 2013 (2015) Lancet, , http://dx.doi.org/10.1016/S0140-6736(15)00128-2, published online Sept 11; Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition (2015) Lancet, , http://dx.doi.org/10.1016/S0140-6736(15)61340-X, published online Aug 27; Vos T., Flaxman A.D., Naghavi M., Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380, pp. 2163-2196; Murray C.J.L., Ezzati M., Flaxman A.D., GBD 2010: Design, definitions, and metrics (2012) Lancet, 380, pp. 2063-2066; Statistical Bulletin. Super Output Area Population Estimates, mid-2011 (Census Based), , http://www.ons.gov.uk/ons/dcp171778_302853.pdf, (accessed Aug 24, 2015); McLennan D., Barnes H., Noble M., Davies J., Garratt E., (2011) The English Indices of Deprivation 2010. Technical Report, , https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/6320/1870718.pdf, Department for Communities and Local Government London (accessed Aug 24, 2015); Adams J., White M., Removing the health domain from the Index of Multiple Deprivation 2004 - Effect on measured inequalities in census measure of health (2006) J Public Health (Oxf), 28, pp. 379-383; Wang H., Dwyer-Lindgren L., Lofgren K.T., Age-specific and sex-specific mortality in 187 countries, 1970-2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380, pp. 2071-2094; Murray C.J.L., Rajaratnam J.K., Marcus J., Laakso T., Lopez A.D., What can we conclude from death registration? Improved methods for evaluating completeness (2010) PLoS Med, 7, p. e1000262; Naghavi M., Makela S., Foreman K., O'Brien J., Pourmalek F., Lozano R., Algorithms for enhancing public health utility of national causes-of-death data (2010) Popul Health Metr, 8, p. 9; Lozano R., Naghavi M., Foreman K., Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380, pp. 2095-2128; Ahern R.M., Lozano R., Naghavi M., Foreman K., Gakidou E., Murray C.J., Improving the public health utility of global cardiovascular mortality data: The rise of ischemic heart disease (2011) Popul Health Metr, 9, p. 8; Foreman K.J., Lozano R., Lopez A.D., Murray C.J., Modeling causes of death: An integrated approach using CODEm (2012) Popul Health Metr, 10, p. 1; (2014) Statistical Bulletin. Suicides in the United Kingdom, 2012 Registrations, , http://www.ons.gov.uk/ons/dcp171778_351100.pdf, (accessed Aug 24, 2015); (2014) Health Survey for England - 2013, , http://www.hscic.gov.uk/catalogue/PUB16076, (accessed Feb 26, 2015); Matthews F.E., Arthur A., Barnes L.E., A two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: Results of the Cognitive Function and Ageing Study i and II (2013) Lancet, 382, pp. 1405-1412; Salomon J.A., Haagsma J.A., Acj D., Disability weights for the Global Burden of Disease 2013 Study Lancet Glob Health, , (in press); Haagsma J.A., De Noordhout C.M., Polinder S., Assessing disability weights based on the responses of 30 660 people from four European countries (2015) Popul Health Metr, 13, p. 10; Preston S., Heuveline P., Guillot M., (2000) Demography: Measuring and Modeling Population Processes, , 1st edn. Wiley-Blackwell Malden, MA; Beltrán-Sánchez H., Preston S.H., Canudas-Romo V., An integrated approach to cause-of-death analysis: Cause-deleted life tables and decompositions of life expectancy (2008) Demogr Res, 19, pp. 1323-1350; Salomon J.A., Wang H., Freeman M.K., Healthy life expectancy for 187 countries, 1990-2010: A systematic analysis for the Global Burden Disease Study 2010 (2012) Lancet, 380, pp. 2144-2162; Murray C.J.L., Vos T., Lozano R., Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010 (2012) Lancet, 380, pp. 2197-2223; Gelman A., Analysis of variance - Why it is more important than ever (2005) Ann Stat, 33, pp. 1-53; (2010) Deaths from Alzheimer's Disease, Dementia and Senility in England, , http://www.endoflifecare-intelligence.org.uk/resources/publications/deaths_from_alzheimers, (accessed Aug 24, 2015); (2012) Mortality in the United Kingdom, 2010, , http://www.ons.gov.uk/ons/dcp171780_251270.pdf, (accessed Aug 24, 2015); (2014) Statistical Bulletin. National Life Tables, United Kingdom, 2011-2013, , http://www.ons.gov.uk/ons/rel/lifetables/national-life-tables/2011-2013/stb-uk-2011-2013.html, (accessed Aug 24, 2015); Green M., (2013) Death in England and Wales: Using A Classificatory Approach for Researching Mortality. PhD Thesis, , University of Sheffield; Green M.A., Vickers D., Dorling D., A neighbourhood level mortality classification of England and Wales, 2006-2009 (2014) Health Place, 30, pp. 196-204; Rasulo D., Bajekal M., Yar M., Inequalities in health expectancies in England and Wales - Small area analysis from the 2001 census (2007) Health Stat Q, 34, pp. 35-45; Statistical Bulletin. Experimental Statistics. Inequality in Disability-free Life Expectancy by Area Deprivation: England, 2003-06 and 2007-10, , http://www.ons.gov.uk/ons/dcp171778_319481.pdf, (accessed Aug 24, 2015); Bennett J.E., Li G., Foreman K., The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting (2015) Lancet, 386, pp. 163-170; Rienzo C., (2012) Migrants in the UK Labour Market: An Overview, , http://storage0.dms.mpinteractiv.ro/media/1/186/3927/10538667/2/briefing-migrants-the-uk-labour-market-0.pdf, (accessed Aug 24, 2015); Bongaart J., Trends in causes of death in low-mortality countries: Implications for mortality projections (2014) Popul Dev Rev, 40, pp. 189-212; Williams R., Aspinall R., Bellis M., Addressing liver disease in the UK: A blueprint for attaining excellence in health care and reducing premature mortality from lifestyle issues of excess consumption of alcohol, obesity, and viral hepatitis (2014) Lancet, 384, pp. 1953-1997; Prince M., Bryce R., Albanese E., Wimo A., Ribeiro W., Ferri C.P., The global prevalence of dementia: A systematic review and metaanalysis (2013) Alzheimers Dement, 9, pp. 63-75; Holland D., Desikan R.S., Dale A.M., McEvoy L.K., Rates of decline in Alzheimer disease decrease with age (2012) PLoS One, 7, p. e42325; Rocca W.A., Petersen R.C., Knopman D.S., Trends in the incidence and prevalence of Alzheimer's disease, dementia, and cognitive impairment in the United States (2011) Alzheimers Dement, 7, pp. 80-93; Hoy D.G., Smith E., Cross M., Reflecting on the global burden of musculoskeletal conditions: Lessons learnt from the Global Burden of Disease 2010 Study and the next steps forward (2014) Ann Rheum Dis, 74, pp. 4-7; Kessler D., Bennewith O., Lewis G., Sharp D., Detection of depression and anxiety in primary care: Follow up study (2002) BMJ, 325, pp. 1016-1017; Davidson J.R., Feltner D.E., Dugar A., Management of generalized anxiety disorder in primary care: Identifying the challenges and unmet needs (2010) Prim Care Companion J Clin Psychiatry, 12. , pii PCC.09r00772; Buszewicz M.J., Chew-Graham C., Improving the detection and management of anxiety disorders in primary care (2011) Br J Gen Pract, 61, pp. 489-490; Van Zoonen K., Buntrock C., Ebert D.D., Preventing the onset of major depressive disorder: A meta-analytic review of psychological interventions (2014) Int J Epidemiol, 43, pp. 318-329; (2014) Report 1. Care Processes and Treatment Targets, , http://www.hscic.gov.uk/catalogue/PUB14970, (accessed Aug 28, 2015); Bajekal M., Scholes S., Love H., Analysing recent socioeconomic trends in coronary heart disease mortality in England, 2000-2007: A population modelling study (2012) PLoS Med, 9, p. e1001237; He F.J., Brinsden H.C., MacGregor G.A., Salt reduction in the United Kingdom: A successful experiment in public health (2014) J Hum Hypertens, 28, pp. 345-352; Fleming K.M., Aithal G.P., Solaymani-Dodaran M., Card T.R., West J., Incidence and prevalence of cirrhosis in the United Kingdom, 1992-2001: A general population-based study (2008) J Hepatol, 49, pp. 732-738; Ratib S., West J., Crooks C.J., Fleming K.M., Diagnosis of liver cirrhosis in England, a cohort study, 1998-2009: A comparison with cancer (2014) Am J Gastroenterol, 109, pp. 190-198; Taylor-Robinson S.D., Foster G.R., Arora S., Hargreaves S., Thomas H.C., Increase in primary liver cancer in the UK, 1979-94 (1997) Lancet, 350, pp. 1142-1143; Bosch F.X., Ribes J., Díaz M., Cléries R., Primary liver cancer: Worldwide incidence and trends (2004) Gastroenterology, 127, pp. S5-16; Leon D.A., McCambridge J., Liver cirrhosis mortality rates in Britain from 1950 to 2002: An analysis of routine data (2006) Lancet, 367, pp. 52-56; Link B.G., Phelan J., Social conditions as fundamental causes of disease (1995) J Heal Soc Behav, pp. 80-94; Ritchie K., Carrière I., Ritchie C.W., Berr C., Artero S., Ancelin M.-L., Designing prevention programmes to reduce incidence of dementia: Prospective cohort study of modifiable risk factors (2010) BMJ, 341, p. c3885; Lee Y., Back J.H., Kim J., Systematic review of health behavioral risks and cognitive health in older adults (2010) Int Psychogeriatr, 22, pp. 174-187; Engelhart M.J., Geerlings M.I., Ruitenberg A., Dietary intake of antioxidants and risk of Alzheimer disease (2002) JAMA, 287, pp. 3223-3229; Haan M.N., Wallace R., Can dementia be prevented? Brain aging in a population-based context (2004) Annu Rev Public Health, 25, pp. 1-24; Dai Q., Borenstein A.R., Wu Y., Jackson J.C., Larson E.B., Fruit and vegetable juices and Alzheimer's disease: The Kame Project (2006) Am J Med, 119, pp. 751-759; Smith A.D., Yaffe K., Dementia (including Alzheimer's disease) can be prevented: Statement supported by international experts (2014) J Alzheimers Dis, 38, pp. 699-703; (2015) Suicides in the United Kingdom, 2013 Registrations, , http://www.ons.gov.uk/ons/dcp171778_395145.pdf, (accessed Aug 24, 2015); Butterfield R., Henderson J., Scott R., (2009) Public Health and Prevention, Expenditure in England. Health England Report No. 4, , Department of Health London
Published: 2015
Full Text: View/download PDF

15. Mapping local variation in educational attainment across Africa

Author: Aniruddha Deshpande, Joseph Friedman, Peter W. Gething, Lucas Earl, Samir Bhatt, Joshua Longbottom, Roy Burstein, Daniel J. Weiss, Daniel C Casey, Stephen S Lim, Nancy Fullman, Aubrey J. Levine, Emmanuela Gakidou, Sarah E Ray, Nicholas Graetz, Ali H. Mokdad, Jonathan F. Mosser, Christopher J L Murray, Annie J. Browne, Robert Reiner, Molly H Biehl, Simon I. Hay, Aaron Osgood-Zimmerman, Chloe Shields, Rebecca W. Stubbs, and Benjamin K. Mayala
Subjects: 0301 basic medicine, Male, Internationality, SUSTAINABLE DEVELOPMENT GOALS, ECONOMIC-DEVELOPMENT, 0302 clinical medicine, 030212 general & internal medicine, Young adult, Reproductive health, media_common, Multidisciplinary, PLASMODIUM-FALCIPARUM, Middle Aged, Multidisciplinary Sciences, GENDER INEQUALITY, Geography, Science & Technology - Other Topics, MATERNAL EDUCATION, GROWTH, Educational Status, Female, CHILD-MORTALITY, HEALTH, Goals, COUNTRIES, Adult, Inequality, Adolescent, General Science & Technology, media_common.quotation_subject, Fertility, World Health Organization, Article, 03 medical and health sciences, Young Adult, Sex Factors, Kilometer, MD Multidisciplinary, SYSTEMATIC ANALYSIS, Humans, Probability, Sustainable development, Science & Technology, business.industry, Local variation, Educational attainment, 030104 developmental biology, Africa, Demographic economics, business
Abstract: Educational attainment for women of reproductive age is linked to reduced child and maternal mortality, lower fertility and improved reproductive health. Comparable analyses of attainment exist only at the national level, potentially obscuring patterns in subnational inequality. Evidence suggests that wide disparities between urban and rural populations exist, raising questions about where the majority of progress towards the education targets of the Sustainable Development Goals is occurring in African countries. Here we explore within-country inequalities by predicting years of schooling across five by five kilometre grids, generating estimates of average educational attainment by age and sex at subnational levels. Despite marked progress in attainment from 2000 to 2015 across Africa, substantial differences persist between locations and sexes. These differences have widened in many countries, particularly across the Sahel. These high-resolution, comparable estimates improve the ability of decision-makers to plan the precisely targeted interventions that will be necessary to deliver progress during the era of the Sustainable Development Goals., Local-level analyses show that, despite marked progress in educational attainment from 2000 to 2015 across Africa, substantial differences persist between locations and sexes that have widened in many countries.
Published: 2018

16. Mapping child growth failure in Africa between 2000 and 2015

Author: Aaron Osgood-Zimmerman, Puja Rao, David M. Pigott, Chloe Shields, Nancy Fullman, Rebecca W. Stubbs, Nathaniel J Henry, Abdisalan M. Noor, Jonathan F. Mosser, Peter W. Gething, Roy Burstein, Ewan Cameron, Daniel C Casey, Annie J. Browne, Mario Herrero, Nicholas Graetz, Lutz Krause, Stephen S Lim, Sarah E Ray, Robert Reiner, Daniel J. Weiss, Damaris K. Kinyoki, Ian D. Letourneau, Aubrey J. Levine, Rahul Rawat, Samir Bhatt, Harry S. Gibson, Ali H. Mokdad, Joshua Longbottom, Anoushka Millear, Brandon V. Pickering, Kirsten E. Wiens, Simon I. Hay, Benjamin K. Mayala, Murray Cjl., P. Liu, Aniruddha Deshpande, Nicholas J Kassebaum, Lucas Earl, Ellen Piwoz, David L. Smith, and Medical Research Council (MRC)
Subjects: medicine.medical_specialty, General Science & Technology, 030231 tropical medicine, SUSTAINABLE DEVELOPMENT GOALS, MODELS, Psychological intervention, GLOBAL HEALTH, Article, 03 medical and health sciences, 0302 clinical medicine, Environmental health, HEALTH SYSTEM PERFORMANCE, MD Multidisciplinary, Medicine, 030212 general & internal medicine, NIGERIA, Wasting, 2. Zero hunger, Sustainable development, Multidisciplinary, Science & Technology, PLASMODIUM-FALCIPARUM, business.industry, Public health, 1. No poverty, MALNUTRITION, medicine.disease, Child development, Health equity, 3. Good health, Multidisciplinary Sciences, Malnutrition, PUBLIC-HEALTH, SURVIVAL, Science & Technology - Other Topics, Public Health, Underweight, medicine.symptom, business, INTERVENTIONS
Abstract: Insufficient growth during childhood is associated with poor health outcomes and an increased risk of death. Between 2000 and 2015, nearly all African countries demonstrated improvements for children under 5 years old for stunting, wasting, and underweight, the core components of child growth failure. Here we show that striking subnational heterogeneity in levels and trends of child growth remains. If current rates of progress are sustained, many areas of Africa will meet the World Health Organization Global Targets 2025 to improve maternal, infant and young child nutrition, but high levels of growth failure will persist across the Sahel. At these rates, much, if not all of the continent will fail to meet the Sustainable Development Goal target—to end malnutrition by 2030. Geospatial estimates of child growth failure provide a baseline for measuring progress as well as a precision public health platform to target interventions to those populations with the greatest need, in order to reduce health disparities and accelerate progress., Geospatial estimates of child growth failure in Africa provide a baseline for measuring progress and a precision public health platform to target interventions to those populations with the greatest need.
Published: 2018

17. Mapping under-5 and neonatal mortality in Africa, 2000-15: a baseline analysis for the Sustainable Development Goals

Author: Nick, Golding, Roy, Burstein, Joshua, Longbottom, Annie J, Browne, Nancy, Fullman, Aaron, Osgood-Zimmerman, Lucas, Earl, Samir, Bhatt, Ewan, Cameron, Daniel C, Casey, Laura, Dwyer-Lindgren, Tamer H, Farag, Abraham D, Flaxman, Maya S, Fraser, Peter W, Gething, Harry S, Gibson, Nicholas, Graetz, L Kendall, Krause, Xie Rachel, Kulikoff, Stephen S, Lim, Bonnie, Mappin, Chloe, Morozoff, Robert C, Reiner, Amber, Sligar, David L, Smith, Haidong, Wang, Daniel J, Weiss, Christopher J L, Murray, Catherine L, Moyes, Simon I, Hay, and Medical Research Council (MRC)
Subjects: Male, Conservation of Natural Resources, Age Factors, Infant, Newborn, Infant, Bayes Theorem, 11 Medical And Health Sciences, Risk Assessment, Article, Africa, Western, Sex Factors, Predictive Value of Tests, Cause of Death, Child, Preschool, Population Surveillance, General & Internal Medicine, Child Mortality, Infant Mortality, Humans, Female, Developing Countries, Goals
Abstract: Summary Background During the Millennium Development Goal (MDG) era, many countries in Africa achieved marked reductions in under-5 and neonatal mortality. Yet the pace of progress toward these goals substantially varied at the national level, demonstrating an essential need for tracking even more local trends in child mortality. With the adoption of the Sustainable Development Goals (SDGs) in 2015, which established ambitious targets for improving child survival by 2030, optimal intervention planning and targeting will require understanding of trends and rates of progress at a higher spatial resolution. In this study, we aimed to generate high-resolution estimates of under-5 and neonatal all-cause mortality across 46 countries in Africa. Methods We assembled 235 geographically resolved household survey and census data sources on child deaths to produce estimates of under-5 and neonatal mortality at a resolution of 5 × 5 km grid cells across 46 African countries for 2000, 2005, 2010, and 2015. We used a Bayesian geostatistical analytical framework to generate these estimates, and implemented predictive validity tests. In addition to reporting 5 × 5 km estimates, we also aggregated results obtained from these estimates into three different levels—national, and subnational administrative levels 1 and 2—to provide the full range of geospatial resolution that local, national, and global decision makers might require. Findings Amid improving child survival in Africa, there was substantial heterogeneity in absolute levels of under-5 and neonatal mortality in 2015, as well as the annualised rates of decline achieved from 2000 to 2015. Subnational areas in countries such as Botswana, Rwanda, and Ethiopia recorded some of the largest decreases in child mortality rates since 2000, positioning them well to achieve SDG targets by 2030 or earlier. Yet these places were the exception for Africa, since many areas, particularly in central and western Africa, must reduce under-5 mortality rates by at least 8·8% per year, between 2015 and 2030, to achieve the SDG 3.2 target for under-5 mortality by 2030. Interpretation In the absence of unprecedented political commitment, financial support, and medical advances, the viability of SDG 3.2 achievement in Africa is precarious at best. By producing under-5 and neonatal mortality rates at multiple levels of geospatial resolution over time, this study provides key information for decision makers to target interventions at populations in the greatest need. In an era when precision public health increasingly has the potential to transform the design, implementation, and impact of health programmes, our 5 × 5 km estimates of child mortality in Africa provide a baseline against which local, national, and global stakeholders can map the pathways for ending preventable child deaths by 2030. Funding Bill & Melinda Gates Foundation.
Published: 2017

18. Mapping Plasmodium falciparum mortality in Africa between 1990 and 2015

Author: Stephen S Lim, Donal Bisanzio, Jennifer Rozier, Haidong Wang, Samir Bhatt, Peter W. Gething, Puja C Rao, Christopher J L Murray, Matthew M Coates, Mohsen Naghavi, Daniel C Casey, Simon I. Hay, Katya Anne Shackelford, Ryan M Barber, Ursula Dalrymple, Grant Nguyen, Chantal Huynh, David L. Smith, Rachel Kulikoff, Katherine E. Battle, Maya S Fraser, Daniel J. Weiss, Ewan Cameron, Michael Kutz, and Medical Research Council (MRC)
Subjects: IMPACT, Geographic Mapping, MALARIA CONTROL, DISEASE, Parasite Load, law.invention, 0302 clinical medicine, law, Case fatality rate, Prevalence, Medicine, 030212 general & internal medicine, Young adult, Malaria, Falciparum, Child, education.field_of_study, biology, Incidence (epidemiology), General Medicine, 11 Medical And Health Sciences, Transmission (mechanics), Child, Preschool, BURDEN, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Adolescent, TRANSMISSION, 030231 tropical medicine, Population, Plasmodium falciparum, Article, 03 medical and health sciences, Drug treatment, Antimalarials, Young Adult, Medicine, General & Internal, AGE, General & Internal Medicine, parasitic diseases, SYSTEMATIC ANALYSIS, Humans, Insecticide-Treated Bednets, Mortality, education, Africa South of the Sahara, Science & Technology, Models, Statistical, business.industry, Infant, Newborn, Infant, medicine.disease, biology.organism_classification, Surgery, Communicable Disease Control, business, Malaria, RESISTANCE, Demography
Abstract: Background Malaria control has not been routinely informed by the assessment of subnational variation in malaria deaths. We combined data from the Malaria Atlas Project and the Global Burden of Disease Study to estimate malaria mortality across sub-Saharan Africa on a grid of 5 km(2) from 1990 through 2015. Methods We estimated malaria mortality using a spatiotemporal modeling framework of geolocated data (i.e., with known latitude and longitude) on the clinical incidence of malaria, coverage of antimalarial drug treatment, case fatality rate, and population distribution according to age. Results Across sub-Saharan Africa during the past 15 years, we estimated that there was an overall decrease of 57% (95% uncertainty interval, 46 to 65) in the rate of malaria deaths, from 12.5 (95% uncertainty interval, 8.3 to 17.0) per 10,000 population in 2000 to 5.4 (95% uncertainty interval, 3.4 to 7.9) in 2015. This led to an overall decrease of 37% (95% uncertainty interval, 36 to 39) in the number of malaria deaths annually, from 1,007,000 (95% uncertainty interval, 666,000 to 1,376,000) to 631,000 (95% uncertainty interval, 394,000 to 914,000). The share of malaria deaths among children younger than 5 years of age ranged from more than 80% at a rate of death of more than 25 per 10,000 to less than 40% at rates below 1 per 10,000. Areas with high malaria mortality (>10 per 10,000) and low coverage (
Published: 2016

19. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysis for the Global Burden of Disease Study 2015

Author: Vasiliki Stathopoulou, Kiran Thapa, Vesper Hichilombwe Chisumpa, Azeem Majeed, Hjalte Holm Andersen, Devasahayam J. Christopher, Alireza Mohammadi, John J. McGrath, Konstantin Kazanjan, Naohiro Yonemoto, Guoqing Hu, Yousef Khader, Suzanne Barker-Collo, Frida Namnyak Ngalesoni, Jennifer O Lam, Laetitia Huiart, Xiaofeng Liang, Amanuel Tesfay Gebremedhin, Lalit Dandona, Felix Masiye, Joseph R Fitchett, Derrick A Bennett, Rosana E. Norman, Theo Vos, Tuomo J. Meretoja, Rahman Shiri, Melvin Barrientos Marzan, Charles R. Newton, Kelly Cercy, Masoud Vaezghasemi, Elena Alvarez Martin, Christopher Troeger, Ismael R. Campos-Nonato, Amany H Refaat, Ruben Castro, Amiran Gamkrelidze, Michael R. Phillips, Samath D Dharmaratne, Reed J D Sorensen, Roderick J. Hay, Johan Ärnlöv, Ivo Rakovac, Alexandra Brazinova, Nancy Fullman, Sara Sheikhbahaei, Liliana G Ciobanu, Nader Jahanmehr, Yuming Guo, Luigi Naldi, Rana Jawad Asghar, Tsegaye Tewelde Gebrehiwot, Corine Karema, Biju Abraham, Rynaz H S Rabiee, Emerito Jose A. Faraon, Philimon Gona, Jonathan I. Silverberg, Alexandria Brown, Kovin Naidoo, Suleman Atique, Yun Jin Kim, Benn Sartorius, Hwashin Hyun Shin, George Mugambage Ruhago, Adugnaw Berhane, Tesfaye Tekle, Abdur Rahman Khan, Vipin Gupta, Nima Hafezi-Nejad, Héctor Gómez-Dantés, Jun She, Ted R. Miller, Tolesa Bekele, Yohannes Kinfu, Srinivas Murthy, Alaa Badawi, Mahfuzar Rahman, Raghib Ali, Robert G. Weintraub, Nicholas Steel, Khalid A Altirkawi, Muhammad Imran Nisar, Man Mohan Mehndiratta, Thomas N. Williams, Adrian Davis, Usha Ram, Nobuyuki Horita, Qingyang Xiao, Bishal Gyawali, Burcu Kucuk Bicer, Eun-Kee Park, Subas Neupane, Mohammad Tavakkoli, Lorenzo Monasta, Roman Topor-Madry, Marc-Alain Widdowson, James Leigh, Padukudru Anand Mahesh, Stephen M. Amrock, Stefan Ma, Virendra Singh, Amir Kasaeian, Mahdi Mahdavi, Shahrzad Bazargan-Hejazi, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Julio Cesar Campuzano, Maria Dolores Sanchez-Niño, Jean B. Nachega, Hamid Asayesh, Pratik Pinal Doshi, Charles Shey Wiysonge, Peter J. Hotez, Ying Jiang, Girma Temam Shifa, Warren D. Lo, Francis Apolinary Mhimbira, Joan B. Soriano, Ritul Kamal, Young-Ho Khang, Isaac Akinkunmi Adedeji, Daniel C Casey, Adeladza Kofi Amegah, Demewoz Haile, Tomi Akinyemiju, Andrew L. Thorne-Lyman, Achala Upendra Jayatilleke, Rajeev Gupta, Rosario Cárdenas, Peter W. Gething, Ami R. Moore, Marie Ng, Maigeng Zhou, Ferrán Catalá-López, Anders Larsson, Ratilal Lalloo, Panniyammakal Jeemon, Bach Xuan Tran, Chigozie Jesse Uneke, Marina Shakh-Nazarova, Jamie Hancock, Yohannes Adama Melaku, Jasvinder A. Singh, Isabela M. Benseñor, Shafiu Mohammed, Rajiv Chowdhury, Hedyeh Ebrahimi, Yoshihiro Kokubo, Belinda K Lloyd, Samir Bhatt, Geoffrey Buckle, Tissa Wijeratne, Giuseppe Remuzzi, Robert W Aldridge, Luca Ronfani, Raj Kumar Verma, Jagdish Khubchandani, Irma Khonelidze, Ai Koyanagi, Teshome Gebre, Michael Kutz, Om Prakash Singh, Ana Maria Nogales Vasconcelos, Margaret Lind, Svetlana Popova, Hmwe H Kyu, Tom Achoki, Laith J. Abu-Raddad, Zacharie Tsala Dimbuene, Henock Yebyo, Mehdi Yaseri, Max Petzold, Sungho Won, Semaw Ferede Abera, Devina Nand, Rafael Tabarés-Seisdedos, Abdishakur M. Abdulle, Yingfeng Zheng, Soewarta Kosen, Aleksandra Barac, Mahboubeh Parsaeian, Yuichiro Yano, Charles D.A. Wolfe, Simon I. Hay, Luke D. Knibbs, Balem Demtsu Betsu, Solomon Abrha Damtew, Ileana Heredia-Pi, Boris Bikbov, Bemnet Amare Tedla, Daniel Kim, Ulrich O Mueller, Khurshid Alam, Andrew H. Kemp, Austin Carter, Chuanhua Yu, Ibrahim A Khalil, João Mário Pedro, Atsushi Goto, Arsène Kouablan Adou, Scott B. Patten, Nicola Low, Julio Cesar Montañez Hernandez, Heidi J. Larson, Worku Tefera, Sanjay Zodpey, Kalpana Balakrishnan, Hsing-Yi Chang, Jacqueline Castillo Rivas, Donal Bisanzio, Hilda L Harb, Meghan D. Mooney, John N Newton, Vasiliy Victorovich Vlassov, Marcella Montico, Mojde Mirarefin, Vinay Nangia, Edgar P. Simard, Ben Schöttker, Michael Brainin, Ziad A. Memish, Rafael Lozano, Damian G Hoy, Gebre Yitayih Abyu, Alexis J Handal, Saleem M Rana, Francesco Saverio Violante, Monika Sawhney, Eyal Oren, Iqbal R. F. Elyazar, Oluremi N Ajala, Christopher J L Murray, Chioma Ezinne Chibueze, Rupert R A Bourne, Euripide Frinel G Arthur Avokpaho, Andreas A Kudom, Hilton Lam, Aman Yesuf Endries, Farshad Pourmalek, Andre Pascal Kengne, Gholamreza Roshandel, Chandrashekhar T Sreeramareddy, Bolajoko O. Olusanya, Tommi Vasankari, Zahid A Butt, Alemseged Aregay Gebru, Samer Hamidi, Soraya Seedat, Xie Rachel Kulikoff, Maziar Moradi-Lakeh, Gelin Xu, Shireen Sindi, Ruoyan Tobe-Gai, Haidong Wang, Johanna M. Geleijnse, Rajesh Kumar Rai, Ryan M Barber, André Karch, Ione Jayce Ceola Schneider, Hebe N. Gouda, Sibhatu Biadgilign, Erika Ota, Kerrie E. Doyle, Olalekan A. Uthman, Jed D. Blore, Walid Ammar, Guohong Jiang, Carlos A Castañeda-Orjuela, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Charles N Mock, Ronan A Lyons, Jose Martinez-Raga, Thomas Fürst, Ambuj Roy, Mustafa Z. Younis, Harish Chander Gugnani, Mohammad Hifz Ur Rahman, Lidia Morawska, Noore Alam, Paul S. F. Yip, Grant Nguyen, Randah R. Hamadeh, Victor Aboyans, Miloje Savic, Ketevan Gambashidze, Graeme J. Hankey, David M. Pereira, Cho-il Kim, Peter A. Meaney, Haidong Kan, Sameer Vali Gopalani, Murugesan Raju, Saeid Shahraz, Ibrahim Abdelmageem Mohamed Ginawi, Kenji Shibuya, Raimundas Lunevicius, Sun Ha Jee, Prashant Singh, Atte Meretoja, Suzanne Polinder, Alex Reynolds, Joseph Mikesell, David O. Carpenter, Carla Sofia e Sa Farinha, Miguel Angel Alegretti, Nataliya Foigt, Naris Silpakit, Amare Deribew, Gessessew Bugssa Hailu, Mohammed Magdy Abd El Razek, Reza Assadi, Yichong Li, Georgina A. V. Murphy, Babak Eshrati, Rintaro Mori, Scott Weichenthal, Andre Keren, Van C. Lansingh, Kebede Deribe, Bulat Idrisov, François Alla, Maaya Kita, Ala'a Alkerwi, Maia Kereselidze, Yanping Wang, Rajesh Sharma, Florian Fischer, Foluke Adetola Ojelabi, Maya S Fraser, Kingsley N. Ukwaja, H. Dean Hosgood, Puja Rao, Deena Alasfoor, Muhammad Muhammad Saleh, Bryan L. Sykes, Juan Sanabria, Ronny Westerman, Julian David Pillay, Cassandra Szoeke, Umar Bacha, Edward J Mills, Manisha Dubey, Aliya Naheed, Al Artaman, Jiabin Shen, Michael Burch, Reza Malekzadeh, Hans W. Hoek, David C. Schwebel, Alireza Esteghamati, Seok Jun Yoon, Leilei Duan, Matthew M Coates, Arnav Agarwal, Soumya Swaminathan, Quyen Nguyen, Hye-Youn Park, Peter Nguhiu, Bereket Yakob, Patrick Liu, Elisabeth Barboza França, Tigist Assefa Bayou, Azmeraw T. Amare, Farshad Farzadfar, Tariku Jibat, Jost B. Jonas, Kaja Abbas, Thomas Truelsen, Maryam S. Farvid, Louisa Degenhardt, George A. Mensah, Till Bärnighausen, Ivy Shuie, Jee-Young Jasmine Choi, Amitava Banerjee, Zubair Kabir, Ingrid Wolfe, Patrick Martial Nkamedjie Pete, Preet K Dhillon, Kathryn H. Jacobsen, Sadaf G. Sepanlou, Gagandeep Kang, Aminu K. Bello, Bineyam Taye, Mohsen Naghavi, Chhabi Lal Ranabhat, Walter Mendoza, M. Patrice Lindsay, Sergey K Vladimirov, Tesfaye Setegn, Angel J Paternina Caicedo, Eric L. Ding, Narayanaswamy Venketasubramanian, Stephen S Lim, Barthelemy Kuate Defo, Alan D. Lopez, G Anil Kumar, João C. Fernandes, In-Hwan Oh, Rasmus Havmoeller, Amanuel Alemu Abajobir, Pengpeng Ye, Gabrielle deVeber, Espen Bjertness, Hao Zhang, Ali H. Mokdad, Yogeshwar Kalkonde, Peter Memiah, Rodrigo Sarmiento-Suarez, Konrad Pesudovs, Yong Zhao, Joseph Friedman, Abdullah Sulieman Terkawi, Hadi Danawi, André Faro, Kevin N. Sheth, Abera Kenay Tura, Sajjad Ur Rahman, Sergey Soshnikov, Ajit Kumar Yadav, Michelle L. Bell, Nelson Alvis-Guzman, Miia Kivipelto, Pieter de Jager, Yongmei Li, Giancarlo Logroscino, Sivadasanpillai Harikrishnan, Talha Farid, Zewdie Aderaw Alemu, Alemayehu Amberbir, Niveen M E Abu-Rmeileh, Beatriz Paulina Ayala Quintanilla, Parvaiz A Koul, Edson Serván-Mori, Anil Kaul, Cheng Huang, Kalkidan Hassen Abate, Hsiang Huang, Foad Abd-Allah, Marek Majdan, Sait Mentes Birlik, Jung-Chen Chang, Rahul Gupta, Luciano A. Sposato, Sergey Petrovich Ermakov, Ejaz Ahmad Khan, Yibeltal Tebekaw Bayou, Christian Lycke Ellingsen, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hajo Zeeb, Norberto Perico, Jun Zhu, Bruno F. Sunguya, Parthasarathi Ganguly, Fisaha Haile Tesfay, Min-Jeong Shin, Ashish Awasthi, Felix Akpojene Ogbo, Alan J Thomson, Mostafa Qorbani, Ye Jin, Don C. Des Jarlais, Itamar S. Santos, Juanita A. Haagsma, Anwar Rafay, Jacob Olusegun Olusanya, José Neves, Gregory M Anderson, Amador Goodridge, Bolanle F Banigbe, David Rojas-Rueda, Pedro R. Olivares, Rakhi Dandona, Stefanos Tyrovolas, Peter Njenga Keiyoro, Stein Emil Vollset, Andrea Werdecker, Mohamed Hsairi, Chandrasekharan Nair Kesavachandran, Jeanne Françoise Kayibanda, Alemayehu B. Mekonnen, Addisu Shunu Beyene, Lela Sturua, Inga Dora Sigfusdottir, Amber Sligar, Maysaa El Sayed Zaki, Shiwei Liu, Melkamu Dedefo Gishu, Chantal Huynh, Lope H Barrero, Linhong Wang, Neeraj Bedi, Masood Ali Shaikh, Ricky Leung, Mehdi Javanbakht, Alemayehu Hailu, Kimani M Harun, Ubai Alsharif, Richard C. Franklin, Zoubida Zaidi, Hassan Magdy Abd El Razek, Masako Horino, Karzan Abdulmuhsin Mohammad, Diego Augusto Santos Silva, Marcello Tonelli, Juan Jesus Carrero, Cyrus Cooper, Rajaa Al-Raddadi, Juan Liang, Leslie Cornaby, Awoke Misganaw, Norito Kawakami, Carl Abelardo T. Antonio, Daniel J. Weiss, Abhishek Singh, Vivekanand Jha, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Gizachew Assefa Tessema, Alem Mehari, Wagner Marcenes, Chabila C Mapoma, Ababi Zergaw Giref, Farhad Pishgar, Khassoum Diallo, Nicholas J K Breitborde, Emmanuel A. Ameh, Justin Beardsley, Ademola Lukman Adelekan, Joshua A. Salomon, Mamo Wubshet, Diego De Leo, Daniel Pope, Elisabete Weiderpass, Gregory A. Roth, Niranjan Kissoon, Kaire Innos, João Vasco Santos, Rajesh Sagar, Bradford D. Gessner, Akindele Olupelumi Adebiyi, John J Huang, Dharmesh Kumar Lal, Samantha M. Colquhoun, Eduardo Bernabé, Nadia Akseer, Maheswar Satpathy, Fotis Topouzis, Health Services Management & Organisation (HSMO), Public Health, Psychiatry, Neurology, Wang, Haidong, Bhutta, Zulfiqar A, Coates, Matthew M, Coggeshall, M, Ciobanu, Liliana G, Murray, Christopher JL, Coggeshall, Megan, Dandona, Lalit, Diallo, Khassoum, Franca, Elisabeth Barboza, Fraser, Maya, Fullman, Nancy, Gething, Peter W, Hay, Simon I, Kinfu, Yohanne, Kita, Maaya, Kulikoff, Xie Rachel, Larson, Heidi J, Liang, Juan, Liang, Xiaofeng, Lind, Margaret, Lopez, Alan D, Lozano, Rafael, Mensah, George A, Mikesell, Joseph B, Mokdad, Ali H, Mooney, Meghan D, Nguyen, Grant, Rakovac, Ivo, Salomon, Joshua A, Silpakit, Nari, Sligar, Amber, Sorensen, Reed J D, Vos, Theo, Zhu, Jun, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abraham, Biju, Abubakar, Ibrahim, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Abyu, Gebre Yitayih, Achoki, Tom, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Adelekan, Ademola Lukman, Adou, Arsène Kouablan, Agarwal, Arnav, Ajala, Oluremi N, Akinyemiju, Tomi F, Akseer, Nadia, Alam, Khurshid, Alam, Noore K M, Alasfoor, Deena, Aldridge, Robert William, Alegretti, Miguel Angel, Alemu, Zewdie Aderaw, Ali, Raghib, Alkerwi, Ala'A, Alla, Françoi, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amberbir, Alemayehu, Amegah, Adeladza Kofi, Ameh, Emmanuel A, Ammar, Walid, Amrock, Stephen Marc, Andersen, Hjalte H, Anderson, Gregory M, Antonio, Carl Abelardo T, Ärnlöv, Johan, Artaman, Al, Asayesh, Hamid, Asghar, Rana Jawad, Assadi, Reza, Atique, Suleman, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Banigbe, Bolanle F, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Bayou, Tigist Assefa, Bayou, Yibeltal Tebekaw, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Bhatt, Samir, Biadgilign, Sibhatu, Bikbov, Bori, Birlik, Sait Mente, Bisanzio, Donal, Bjertness, Espen, Blore, Jed D, Bourne, Rupert R A, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brown, Alexandria, Buckle, Geoffrey Colin, Burch, Michael, Butt, Zahid A, Campos-Nonato, Ismael Ricardo, Campuzano, Julio Cesar, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesu, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Rivas, Jacqueline Castillo, Castro, Ruben Estanislao, Catalá-López, Ferrán, Cercy, Kelly, Chang, Hsing-Yi, Chang, Jung-Chen, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Choi, Jee-Young Jasmine, Chowdhury, Rajiv, Christopher, Devasahayam Jesuda, Colquhoun, Samantha M, Cooper, Cyru, Cornaby, Leslie, Damtew, Solomon Abrha, Danawi, Hadi, Dandona, Rakhi, das Neves, José, Davis, Adrian C, de Jager, Pieter, De Leo, Diego, Degenhardt, Louisa, Deribe, Kebede, Deribew, Amare, Jarlais, Don C De, Deveber, Gabrielle A, Dharmaratne, Samath D, Dhillon, Preet K, Ding, Eric L, Doshi, Pratik Pinal, Doyle, Kerrie E, Duan, Leilei, Dubey, Manisha, Ebrahimi, Hedyeh, Ellingsen, Christian Lycke, Elyazar, Iqbal, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshrati, Babak, Esteghamati, Alireza, Faraon, Emerito Jose Aquino, Farid, Talha A, Farinha, Carla Sofia e Sa, Faro, André, Farvid, Maryam S, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Joao C, Fischer, Florian, Fitchett, Joseph R A, Foigt, Nataliya, Franklin, Richard C, Friedman, Joseph, Fürst, Thoma, Gambashidze, Ketevan, Gamkrelidze, Amiran, Ganguly, Parthasarathi, Gebre, Teshome, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gebru, Alemseged Aregay, Geleijnse, Johanna M, Gessner, Bradford D, Ginawi, Ibrahim Abdelmageem Mohamed, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Gomez-Dantes, Hector, Gona, Philimon, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Gouda, Hebe N, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Vipin, Gyawali, Bishal, Haagsma, Juanita A, Hafezi-Nejad, Nima, Haile, Demewoz, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hancock, Jamie, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Harun, Kimani M, Havmoeller, Rasmu, Hay, Roderick J, Heredia-Pi, Ileana Beatriz, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J, Huang, Hsiang, Huiart, Laetitia, Iburg, Kim Moesgaard, Idrisov, Bulat T, Innos, Kaire, Jacobsen, Kathryn H, Jahanmehr, Nader, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jibat, Tariku, Jin, Ye, Jonas, Jost B, Kabir, Zubair, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Kang, Gagandeep, Karch, André, Karema, Corine Kakizi, Kasaeian, Amir, Kaul, Anil, Kawakami, Norito, Kayibanda, Jeanne Françoise, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khang, Young-Ho, Khonelidze, Irma, Khubchandani, Jagdish, Kim, Cho-il, Kim, Daniel, Kim, Yun Jin, Kissoon, Niranjan, Kivipelto, Miia, Knibbs, Luke D, Kokubo, Yoshihiro, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kudom, Andreas A, Kumar, G Anil, Kyu, Hmwe H, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lam, Jennifer O, Lansingh, Van C, Larsson, Ander, Leigh, Jame, Leung, Ricky, Li, Yichong, Li, Yongmei, Lindsay, M Patrice, Liu, Patrick Y, Liu, Shiwei, Lloyd, Belinda K, Lo, Warren D, Logroscino, Giancarlo, Low, Nicola, Lunevicius, Raimunda, Lyons, Ronan A, Ma, Stefan, Razek, Hassan Magdy Abd El, Razek, Mohammed Magdy Abd El, Mahdavi, Mahdi, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Mapoma, Chabila C, Marcenes, Wagner, Martinez-Raga, Jose, Marzan, Melvin Barriento, Masiye, Felix, Mcgrath, John J, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Meretoja, Atte, Meretoja, Tuomo J, Mhimbira, Francis Apolinary, Miller, Ted R, Mills, Edward J, Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montico, Marcella, Moore, Ami R, Moradi-Lakeh, Maziar, Morawska, Lidia, Mori, Rintaro, Mueller, Ulrich O, Murphy, Georgina A V, Murthy, Sriniva, Nachega, Jean B, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Neupane, Suba, Newton, Charles R, Newton, John N, Ng, Marie, Ngalesoni, Frida Namnyak, Nguhiu, Peter, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Norheim, Ole F, Norman, Rosana E, Ogbo, Felix Akpojene, Oh, In-Hwan, Ojelabi, Foluke Adetola, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ota, Erika, Pa, Mahesh, Park, Eun-Kee, Park, Hye-Youn, Parsaeian, Mahboubeh, Caicedo, Angel J Paternina, Patten, Scott B, Pedro, João Mário, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pillay, Julian David, Pishgar, Farhad, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Pourmalek, Farshad, Qorbani, Mostafa, Rabiee, Rynaz H S, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Raju, Murugesan, Ram, Usha, Rana, Saleem M, Ranabhat, Chhabi Lal, Rao, Puja, Refaat, Amany H, Remuzzi, Giuseppe, Resnikoff, Serge, Reynolds, Alex, Rojas-Rueda, David, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Roy, Ambuj, Ruhago, George Mugambage, Sagar, Rajesh, Saleh, Muhammad Muhammad, Sanabria, Juan R, Sanchez-Niño, Maria Dolore, Santos, Itamar S, Santos, João Vasco, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Setegn, Tesfaye, Shahraz, Saeid, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Sheth, Kevin N, Shibuya, Kenji, Shin, Hwashin Hyun, Shin, Min-Jeong, Shiri, Rahman, Shuie, Ivy, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silverberg, Jonathan, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Soriano, Joan B, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Steel, Nichola, Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tavakkoli, Mohammad, Taye, Bineyam, Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Tekle, Tesfaye, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thapa, Kiran, Thomson, Alan J, Thorne-Lyman, Andrew L, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thoma, Dimbuene, Zacharie Tsala, Tura, Abera Kenay, Tyrovolas, Stefano, Ukwaja, Kingsley N, Uneke, Chigozie Jesse, Uthman, Olalekan A, Vaezghasemi, Masoud, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Verma, Raj Kumar, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wang, Linhong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Widdowson, Marc-Alain, Wijeratne, Tissa, Williams, Thomas Neil, Wiysonge, Charles Shey, Wolfe, Charles D A, Wolfe, Ingrid, Won, Sungho, Wubshet, Mamo, Xiao, Qingyang, Xu, Gelin, Yadav, Ajit Kumar, Yakob, Bereket, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yebyo, Henock Gebremedhin, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zhang, Hao, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zodpey, Sanjay, and Murray, Christopher J L
Subjects: Pediatrics, Nutrition and Disease, Global Health, Communicable Disease, 0302 clinical medicine, Voeding en Ziekte, Infant Mortality, Compensation law of mortality, Global health, Medicine, LIFE EXPECTANCY, 030212 general & internal medicine, DEVELOPING-COUNTRIES, 10. No inequality, Medicine(all), NEWBORN BABIES, Medicine (all), Mortality rate, 1. No poverty, DEATH, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, 11 Medical And Health Sciences, Stillbirth, 3. Good health, Child Mortality, SURVIVAL, CHILD-MORTALITY, HEALTH, Life Sciences & Biomedicine, DEVELOPMENT GOAL 4, Human, INTERVENTIONS, medicine.medical_specialty, RJ, INTEGRATED APPROACH, Developing country, Communicable Diseases, neonatal, 03 medical and health sciences, Medicine, General & Internal, 030225 pediatrics, General & Internal Medicine, Life Science, Humans, Global Burden of Disease Study, VLAG, Estimation, Science & Technology, business.industry, Klinisk medicin, Infant, GBD 2015 Child Mortality Collaborators, Infant mortality, Malaria, Child mortality, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Life expectancy, Clinical Medicine, RG, business, Demography
Abstract: BACKGROUND: Established in 2000, Millennium Development Goal 4 (MDG4) catalysed extraordinary political, financial, and social commitments to reduce under-5 mortality by two-thirds between 1990 and 2015. At the country level, the pace of progress in improving child survival has varied markedly, highlighting a crucial need to further examine potential drivers of accelerated or slowed decreases in child mortality. The Global Burden of Disease 2015 Study (GBD 2015) provides an analytical framework to comprehensively assess these trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time. METHODS: Drawing from analytical approaches developed and refined in previous iterations of the GBD study, we generated updated estimates of child mortality by age group (neonatal, post-neonatal, ages 1-4 years, and under 5) for 195 countries and territories and selected subnational geographies, from 1980-2015. We also estimated numbers and rates of stillbirths for these geographies and years. Gaussian process regression with data source adjustments for sampling and non-sampling bias was applied to synthesise input data for under-5 mortality for each geography. Age-specific mortality estimates were generated through a two-stage age-sex splitting process, and stillbirth estimates were produced with a mixed-effects model, which accounted for variable stillbirth definitions and data source-specific biases. For GBD 2015, we did a series of novel analyses to systematically quantify the drivers of trends in child mortality across geographies. First, we assessed observed and expected levels and annualised rates of decrease for under-5 mortality and stillbirths as they related to the Soci-demographic Index (SDI). Second, we examined the ratio of recorded and expected levels of child mortality, on the basis of SDI, across geographies, as well as differences in recorded and expected annualised rates of change for under-5 mortality. Third, we analysed levels and cause compositions of under-5 mortality, across time and geographies, as they related to rising SDI. Finally, we decomposed the changes in under-5 mortality to changes in SDI at the global level, as well as changes in leading causes of under-5 deaths for countries and territories. We documented each step of the GBD 2015 child mortality estimation process, as well as data sources, in accordance with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). FINDINGS: Globally, 5·8 million (95% uncertainty interval [UI] 5·7-6·0) children younger than 5 years died in 2015, representing a 52·0% (95% UI 50·7-53·3) decrease in the number of under-5 deaths since 1990. Neonatal deaths and stillbirths fell at a slower pace since 1990, decreasing by 42·4% (41·3-43·6) to 2·6 million (2·6-2·7) neonatal deaths and 47·0% (35·1-57·0) to 2·1 million (1·8-2·5) stillbirths in 2015. Between 1990 and 2015, global under-5 mortality decreased at an annualised rate of decrease of 3·0% (2·6-3·3), falling short of the 4·4% annualised rate of decrease required to achieve MDG4. During this time, 58 countries met or exceeded the pace of progress required to meet MDG4. Between 2000, the year MDG4 was formally enacted, and 2015, 28 additional countries that did not achieve the 4·4% rate of decrease from 1990 met the MDG4 pace of decrease. However, absolute levels of under-5 mortality remained high in many countries, with 11 countries still recording rates exceeding 100 per 1000 livebirths in 2015. Marked decreases in under-5 deaths due to a number of communicable diseases, including lower respiratory infections, diarrhoeal diseases, measles, and malaria, accounted for much of the progress in lowering overall under-5 mortality in low-income countries. Compared with gains achieved for infectious diseases and nutritional deficiencies, the persisting toll of neonatal conditions and congenital anomalies on child survival became evident, especially in low-income and low-middle-income countries. We found sizeable heterogeneities in comparing observed and expected rates of under-5 mortality, as well as differences in observed and expected rates of change for under-5 mortality. At the global level, we recorded a divergence in observed and expected levels of under-5 mortality starting in 2000, with the observed trend falling much faster than what was expected based on SDI through 2015. Between 2000 and 2015, the world recorded 10·3 million fewer under-5 deaths than expected on the basis of improving SDI alone. INTERPRETATION: Gains in child survival have been large, widespread, and in many places in the world, faster than what was anticipated based on improving levels of development. Yet some countries, particularly in sub-Saharan Africa, still had high rates of under-5 mortality in 2015. Unless these countries are able to accelerate reductions in child deaths at an extraordinary pace, their achievement of proposed SDG targets is unlikely. Improving the evidence base on drivers that might hasten the pace of progress for child survival, ranging from cost-effective intervention packages to innovative financing mechanisms, is vital to charting the pathways for ultimately ending preventable child deaths by 2030. FUNDING: Bill & Melinda Gates Foundation. Erratum: Department of Error, The Lancet,Volume 389, Issue 10064, 2017, Page e1. DOI: 10.1016/S0140-6736(16)32608-3
Published: 2016
Full Text: View/download PDF

20. Gallbladder Function in Nontropical Sprue

Author: Daniel C Casey
Subjects: medicine.medical_specialty, business.industry, medicine, General Medicine, Tardive dyskinesia, medicine.disease, business, Dermatology
Published: 1975
Full Text: View/download PDF

21. A Data-Driven Approach to Allocating Personal Protective Equipment During the COVID-19 Pandemic in King County, Washington.

Author: Hu A, Casey D, Toyoji M, Brown A, and Elsenboss C
Subjects: Humans, Washington, Pandemics prevention & control, Personal Protective Equipment, Health Personnel, COVID-19 prevention & control
Abstract: From the Field is a semiregular column that provides insight into the experiences of local, county, or state health professionals on the frontlines of health emergencies. National Association of County and City Health Officials members share the challenges faced and the solutions developed as they prepared for and responded to disasters, epidemics, and other major health issues. The aim of sharing these practical experiences is to provide other public health champions with the information and tools they need to help keep their communities safe even in extreme situations. The COVID-19 pandemic created an extraordinarily high demand for personal protective equipment (PPE). Acute need and supply chain disruptions made hospitals, emergency medical services, and other critical care agencies particularly vulnerable to PPE shortages. In March 2020, King County, Washington, developed computational tools, operating procedures, and data visualizations to fulfill its responsibilities to prioritize, allocate, and distribute scarce PPE equitably and efficiently during a public health emergency. King County distributed over 1.6 million gowns, 22 million gloves, 3.9 million surgical masks, and 1.5 million N95 respirators (among other items) during its PPE distribution mission. An algorithm processed resource requests from the community, with respect to available inventory, emergency allocation policies, prioritization constraints, estimated PPE use rates, agency-specific needs, and other parameters. With these inputs and constraints, the requests were translated into instructions for fulfillment and delivery and several tabular and graphical data visualizations were produced for quality assurance and transparency. Access to timely, relevant, and stable data was a constant challenge, and constraints invariably changed as the emergency response unfolded. King County's PPE distribution mission provides a useful case study in how to develop a scalable and data-driven approach to resource allocation and distribution under emergency response conditions.
Published: 2023
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources

Refine your results

21 results on '"Daniel C Casey"'

1. Mapping local variation in educational attainment across Africa.

2. Burden of non-communicable diseases from infectious causes in 2017: a modelling study

3. Emergence of New Disease: How Can Artificial Intelligence Help?

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

5. Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

6. Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a spatial and temporal modelling study

7. Mapping diphtheria-pertussis-tetanus vaccine coverage in Africa, 2000–2016: a spatial and temporal modelling study

8. Identifying residual hotspots and mapping lower respiratory infection morbidity and mortality in African children from 2000 to 2017

9. Alcohol‐attributed disease burden in four Nordic countries: a comparison using the Global Burden of Disease, Injuries and Risk Factors 2013 study

10. Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21)

11. Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000-17: a spatial and temporal modelling study

12. Variation in Childhood Diarrheal Morbidity and Mortality in Africa, 2000-2015

13. 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

14. Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

15. Mapping local variation in educational attainment across Africa

16. Mapping child growth failure in Africa between 2000 and 2015

17. Mapping under-5 and neonatal mortality in Africa, 2000-15: a baseline analysis for the Sustainable Development Goals

18. Mapping Plasmodium falciparum mortality in Africa between 1990 and 2015

19. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysis for the Global Burden of Disease Study 2015

20. Gallbladder Function in Nontropical Sprue

21. A Data-Driven Approach to Allocating Personal Protective Equipment During the COVID-19 Pandemic in King County, Washington.

Catalog

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

21 results on '"Daniel C Casey"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources