What can epidemiological models tell us about infection inequality?


Socioeconomic and racial inequalities in infection and mortality have been key features of the COVID-19 pandemic in the United States. While identifying these disparities is critical, it has also become clear that we lack the theoretical and methodological tools to integrate the mechanisms generating these inequities into models of infectious disease transmission. This is a huge gap, as such models have become key tools in developing policy and evaluating the impact of interventions ranging from social distancing to vaccination. In this talk, I will outline some of the work done by my research group that is focused on understanding the mechanistic drivers of spatial and socioeconomic variation in infection and death from SARS-CoV-2 in Michigan (see e.g. covidmapping.org) and conduct a walk-through of an interactive example of a model that attempts to integrate a key driver of infection inequality - residential segregation - into a model of infectious disease transmission. For more information, please visit our lab group site at epibayes.io.

Mar 9, 2021 12:00 AM
Jon Zelner
Jon Zelner
Assistant Professor

My research interests include distributed robotics, mobile computing and programmable matter.