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Abraham D. Flaxman
University of Washington
172Publications
58H-index
58.5kCitations
Publications 172
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#1Yingxi Zhao (UW: University of Washington)
#2Riyadh K Lafta (Al-Mustansiriya University)H-Index: 9
Last.Abraham D. Flaxman (UW: University of Washington)H-Index: 58
view all 4 authors...
Abstract Background The 2003 invasion of Iraq significantly undermined population health. However, there is a lack of understanding of how it has undermined communicable disease control. We assessed incidence trend of 32 communicable diseases in post-conflict Iraq. Methods Reported incidence data for 32 communicable diseases (2004-2016) were harvested from routine reports to the Iraqi Ministry of Health by primary health centers, and general and tertiary hospitals. We defined incidence (per 100,...
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#2Andrea StewartH-Index: 7
Last.Bernardo HernándezH-Index: 20
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#1Fiona J Charlson (Centre for Mental Health)H-Index: 41
#2Mark van OmmerenH-Index: 38
Last.Shekhar Saxena (Harvard University)H-Index: 63
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Summary Background Existing WHO estimates of the prevalence of mental disorders in emergency settings are more than a decade old and do not reflect modern methods to gather existing data and derive estimates. We sought to update WHO estimates for the prevalence of mental disorders in conflict-affected settings and calculate the burden per 1000 population. Methods In this systematic review and meta-analysis, we updated a previous systematic review by searching MEDLINE (PubMed), PsycINFO, and Emba...
3 CitationsSource
#1Hebe N. Gouda (UQ: University of Queensland)H-Index: 17
#2Riley H. Hazard (University of Melbourne)H-Index: 2
Last.Ian Riley (University of Melbourne)H-Index: 29
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BACKGROUND: Recent economic growth in Papua New Guinea (PNG) would suggest that the country may be experiencing an epidemiological transition, characterized by a reduction in infectious diseases and a growing burden from non-communicable diseases (NCDs). However, data on cause-specific mortality in PNG are very sparse, and the extent of the transition within the country is poorly understood. METHODS: Mortality surveillance was established in four small populations across PNG: West Hiri in Centra...
2 CitationsSource
#1Mark Moses (UW: University of Washington)H-Index: 10
#2Paola Pedroza (UW: University of Washington)H-Index: 1
Last.Marcia R. Weaver (UW: University of Washington)H-Index: 25
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Summary Background To inform plans to achieve universal health coverage (UHC), we estimated utilisation and unit cost of outpatient visits and inpatient admissions, did a decomposition analysis of utilisation, and estimated additional services and funds needed to meet a UHC standard for utilisation. Methods We collated 1175 country-years of outpatient data on utilisation from 130 countries and 2068 country-years of inpatient data from 128 countries. We did meta-regression analyses of annual visi...
4 CitationsSource
#1Laura Dwyer-Lindgren (UW: University of Washington)H-Index: 17
#2Ellen Squires (UW: University of Washington)H-Index: 4
Last.Stephen S Lim (UW: University of Washington)H-Index: 66
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Background The under-5 mortality rate (U5MR) is an important metric of child health and survival. Country-level estimates of U5MR are readily available, but efforts to estimate U5MR subnationally have been limited, in part, due to spatial misalignment of available data sources (e.g., use of different administrative levels, or as a result of historical boundary changes).
2 CitationsSource
#1Abraham D. Flaxman (UW: University of Washington)H-Index: 58
#2Jonathan Joseph (UW: University of Washington)H-Index: 6
Last.Alan D. Lopez (University of Melbourne)H-Index: 142
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Recently, a new algorithm for automatic computer certification of verbal autopsy data named InSilicoVA was published. The authors presented their algorithm as a statistical method and assessed its performance using a single set of model predictors and one age group. We perform a standard procedure for analyzing the predictive accuracy of verbal autopsy classification methods using the same data and the publicly available implementation of the algorithm released by the authors. We extend the orig...
1 CitationsSource
#1Abraham D. Flaxman (UW: University of Washington)H-Index: 58
#2Andrea Stewart (UW: University of Washington)H-Index: 7
Last.Ian Riley (University of Melbourne)H-Index: 29
view all 17 authors...
Background There is increasing interest in using verbal autopsy to produce nationally representative population-level estimates of causes of death. However, the burden of processing a large quantity of surveys collected with paper and pencil has been a barrier to scaling up verbal autopsy surveillance. Direct electronic data capture has been used in other large-scale surveys and can be used in verbal autopsy as well, to reduce time and cost of going from collected data to actionable information.
1 CitationsSource
#1Abraham D. Flaxman (UW: University of Washington)H-Index: 58
#2E. Theo Vos (UW: University of Washington)H-Index: 107
Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.
1 CitationsSource
#1Max Griswold (UW: University of Washington)H-Index: 14
#2Nancy Fullman (UW: University of Washington)H-Index: 38
Last.Emmanuela GakidouH-Index: 45
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Summary Background Alcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improved estimates of alcohol use and alcohol-attributable deaths and disability-adjusted life-years (DALYs) for 195 locations fr...
212 CitationsSource
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