Aleksandr Aravkin
· Associate ProfessorUniversity of Washington · Atmospheric Sciences
Active 2009–2026
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About
Associate Professor Aleksandr Aravkin's research focuses on optimization, robust statistics, health metrics, and machine learning. He is involved in developing comprehensive meta-analytic approaches for analyzing relationships between risks and outcomes, as well as working on COVID-19 modeling and health metrics. His work spans various fields including health metrics, tracking and navigation, seismic imaging, computational finance, neuroscience, and computational medicine.
Research topics
- Medicine
- Environmental health
- Demography
- Internal medicine
- Gerontology
- Geography
- Economics
- Psychiatry
- Immunology
- Mathematics
Selected publications
The Lancet · 2020 · 18933 citations
BACKGROUND: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and…
The Lancet · 2020 · 9387 citations
BACKGROUND: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS: GBD 2019 estimat…
The Lancet · 2024 · 4249 citations
BACKGROUND: Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It…
The Lancet · 2023 · 4044 citations
BACKGROUND: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes bu…
The Lancet · 2024 · 2367 citations
BACKGROUND: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons…
Frequent coauthors
- 290 shared
Simon I Hay
- 286 shared
Christopher J L Murray
University of Washington
- 234 shared
Ali H. Mokdad
- 221 shared
Peng Zheng
Institute for Health Metrics and Evaluation
- 217 shared
Stephen S Lim
- 210 shared
Xiaochen Dai
- 167 shared
Theo Vos
- 158 shared
G Anil Kumar
Education
- 2010
Ph.D., Mathematics (Optimization)
University of Washington
- 2010
M.S., Statistics
University of Washington
- 2004
B.S., Mathematics and Computer Science
University of Washington
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