Global Burden of Disease: Analyzing and visualizing big data in global health

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Global Burden of Disease: Analyzing and visualizing big data in global health

  1. 1. Global Burden of Disease Washington, DC, September 6, 2013 Peter Speyer Director of Data Development speyer@uw.edu / @peterspeyer Analyzing and Visualizing Big Data in Global Health
  2. 2. IHME • Institute for Health Metrics and Evaluation, University of Washington • Providing independent, rigorous, and scientific measurement and evaluations • “Our goal is to improve the health of the world’s populations by providing the best information on population health.” • Core funding by the Bill & Melinda Gates Foundation and the state of Washington • Created in 2007 • 80 researchers, 60 staff
  3. 3. The Global Burden of Disease Study A systematic, scientific effort to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, geographies for specific points in time. Collaboration with 488 individuals from 300 organizations in 50 countries. Published in 2012 in The Lancet. 4
  4. 4. Understanding burden 5 YLLs YLDs YLDs Death Maximum life expectancy Disability Weight Deaths YLLs (Years of Life Lost) YLDs (Years Lived with Disability) DALYs (Disability-Adjusted Life Years)
  5. 5. 6 GBD Data and Model Flow Chart
  6. 6. GBD – it’s big data •187 countries •1990, 2005, and 2010 •291 causes/1160 specific outcomes •66 risk factors •20 age groups •Male/female/total •5 key metrics: deaths, YLLs, prevalence, YLDs, DALYs 7 •Surveys •Censuses •Vital registration •Disease registries •Hospital records •Surveillance systems •Mortuaries/burial sites •Police records •Literature reviews
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  11. 11. Global Burden of Disease Peter Speyer Director of Data Development speyer@uw.edu / @peterspeyer http://ihmeuw.org Analyzing and Visualizing Big Data in Global Health

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