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About IHME

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Aaron Osgood-Zimmerman

Researcher, Model Based Geostatistics


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Biography

Aaron Osgood-Zimmerman, MS, is a Researcher at IHME. He focuses on developing and improving the geostatistical models used by several Geospatial Analysis research teams. These models have already been used to produce high-resolution maps of the leading causes of under-5 mortality and the modes of child growth failure (stunting, wasting, and underweight) over time in Africa. They will also be employed in IHME’s future analyses of other locations around the world. His research interests include nonstationarity, synthesizing data at different resolutions, and space-time model validation.

Aaron received his mathematical training at Swarthmore College, where he was awarded a BA in Mathematics and a BS in General Engineering. He moved to Seattle to pursue a PhD at the University of Washington, where he studied spatiotemporal climatological statistical modeling and received his MS in Statistics. He is currently on leave from the Statistics department.

IHME was established at the University of Washington in Seattle in 2007. Its mission is to improve health through better health evidence.

Osgood-Zimmerman A, Millear AI, Stubbs RW, Shields C, Pickering BV, Earl L, Graetz N, Kinyoki DK, Ray SE, Bhatt S, Browne AJ, Burstein R, Cameron E, Casey DC, Deshpande A, Fullman N, Gething PW, Gibson HS, Henry NJ, Herrero M, Krause LK, Letourneau ID, Levine AJ, Liu PY, Longbottom J, Mayala BK, Mosser JF, Noor AM, Pigott DM, Piwoz EG, Rao P, Rawat R, Reiner RC, Smith DL, Weiss DJ, Wiens KE, Mokdad AH, Lim SS, Murray CJL, Kassebaum NJ, Hay SI. Mapping child growth failure in Africa between 2000 and 2015. Nature. 28 Feb 2018. doi:10.1038/nature25760 

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Graetz N, Friedman J, Osgood-Zimmerman A, Burstein R, Biehl MH, Shields C, Mosser JF, Casey DC, Deshpande A, Earl L, Reiner RC, Ray SE, Fullman N, Levine AJ, Stubbs RW, Mayala BK, Longbottom J, Browne AJ, Bhatt S, Weiss DJ, Gething PW, Mokdad AH, Lim SS, Murray CJLM, Gakidou E, Hay SI. Mapping local variation in educational attainment across Africa. Nature. 28 Feb 2018. doi:10.1038/nature25761

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Golding N, Burstein R, Longbottom J, Browne AJ, Fullman N, Osgood-Zimmerman A, Earl L, Bhatt S, Cameron E, Casey DC, Dwyer-Lindgren L, Farag TH, Flaxman AD, Fraser MS, Gething PW, Gibson HS, Graetz N, Krause LK, Kulikoff XR, Lim SS, Mappin B, Morozoff C, Reiner RC Jr, Sliger A, Smith DL, Wang H, Weiss DJ, Murray CJL, Moyes CL, Hay SI. Mapping under-5 and neonatal mortality in Africa, 2000–15: a baseline analysis for the Sustainable Development Goals. The Lancet

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GBD 2016 Mortality Collaborators. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 14 Sept 2017: 390;1084–1150. 

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GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 14 Sept 2017: 390;1260-344.

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GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 14 Sept 2017: 390; 1211–59.

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IHME

Institute for Health Metrics and Evaluation

2301 Fifth Ave., Suite 600

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Tel: +1-206-897-2800

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© 2018 University of Washington

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Projects

  • Global Burden of Disease (GBD)
  • Disease Control Priorities Network (DCPN)
  • ABCE+: A Focus on Antiretroviral Therapy (ART)
  • Access, Bottlenecks, Costs, and Equity (ABCE)
  • Efficacy to Effectiveness
  • Viral Load Pilot
  • Salud Mesoamérica Initiative
  • Improving Methods to Measure Comparable Mortality by Cause
  • Verbal Autopsy (VA)
  • Disease Expenditure (DEX)
  • Local Burden of Disease
  • State-level disease burden initiative in India
  • US Counties Drivers of Health Study
  • University of Washington Center for Health Trends and Forecasts