Population Research Discovery Seminars
Measuring and Modeling the Impact of Partisanship Differences in Health Behaviors on COVID-19 Disease Spread
Audrey Dorélien, Sociology, University of Washington
Joined by Chris Soria, Demography PhD Student, University of California Berkley
Parrington Hall Room 360
To Join By Zoom: Register HERE
11/01/2024
12:30-1:30 PM PT
360 Parrington Hall
Co-Sponsor(s):
Audrey Dorélien is an associate professor in the Sociology Department at the University of Washington. Previously she taught at the Humphrey School of Public Affairs at the University of Minnesota for 10 years.
Dorélien’s research agenda strives to elucidate how human population dynamics and behavior intersect with environmental conditions to affect health. Her work describes demographic and health patterns and attempts to identify causal factors responsible for these patterns. The first strand of her research focuses on the effects of early life exposures (i.e., disease/nutrition/climate) on health both in the United States and in Sub-Saharan Africa. Second, she analyzes how human behavior and population dynamics affect the spread and severity of infectious diseases. Third, Professor Dorélien has conducted research on spatial demography/ urbanization with a focus on health and climate change vulnerability. Her research has appeared in Population Development Review, Demography, Population Health Metrics, Biodemography and Social Biology, Demographic Research, and PLoS ONE.
Chris Soria is a PhD student in Demography at the University of California, Berkeley, where he previously earned a BA in Sociology. His research focuses on how social networks affect health and mortality, particularly in relation to cognitive health and dementia among aging populations. Soria uses causal inference methods to study the influence of personal social networks on cognitive aging and health disparities. Additionally, his work examines mortality and disease inequalities among different groups, including political partisans, socially isolated individuals, and migrants. One of his goals is to understand how diversity within social networks can uniquely and positively impact health outcomes.