Skip to main content

Arseniy Yashkin

Associate Research Professor in the Social Science Research Institute
Social Science Research Institute
2024 West Main Street, Box 90420, Durham, NC 27708
Office hours by appointment only.  

Overview


I am primarily a health outcomes researcher who specializes in cancers and chronic age-related diseases, especially Alzheimer’s disease and type II diabetes mellitus.  However, I also write in epidemiology, demography, health economics and genetics.  I am a specialist in the analysis of administrative big health data.   My main contributions to scholarship can be summarized across three focus areas: health outcomes research, epidemiology and methodology, and health economics.  Some of my most important findings are described below.

Current Duke Appointments & Affiliations


Associate Research Professor in the Social Science Research Institute · 2024 - Present Social Science Research Institute, University Institutes and Centers

Recent Scholarly Works


Towards personalized vaccine repurposing for Alzheimer's prevention: genotype-specific protective association of the shingles vaccine with odds of Alzheimer's disease in participants of two large cohort studies.

Journal article BMC neurology · February 2026 BACKGROUND: Our earlier study found that adult vaccination against shingles (herpes zoster infection caused by the reactivation of the varicella-zoster virus) was associated with significantly reduced risk of Alzheimer's disease (AD) later in life. Here, w ... Full text Cite

Development of an Exact Theory of Decomposing Population Attributable Fractions and Application to Decomposition of Alzheimer's Disease Risk.

Journal article Mathematical population studies · January 2026 A new mathematically exact method of population attributable fraction (PAF) decomposition free of limitations inherent in existing approaches was developed and compared to existing methods based on the Miettinen, Norton, and Niedhammer-Chastang formulae. T ... Full text Cite

Disease-specific drivers of sex- and locality-related disparities in life expectancy at age 65: two decades of progress before COVID-19.

Journal article Innovation in aging · January 2026 Background and objectivesThe distribution of life expectancy at age 65 (LE65 ) in the United States is characterized by profound sex- and locality-related disparities. Quantifying the disease-specific drivers of these disparities ... Full text Cite
View All Scholarly Works

Recent Grants


Genetic Modulations of Morbidity Compression: A Population-Based Study

ResearchCo Investigator · Awarded by National Institute on Aging · 2020 - 2026

View All Grants

Education


University of South Florida · 2013 Ph.D.
University of South Florida · 2006 M.A.
University of South Florida · 2002 M.P.H.
University of South Florida · 2000 B.A.

External Links


Loop Profile