2024 Health Meeting VIRTUAL - Session 2C: Epidemiology Cluster Analysis by Zip Code for Population Health Studies 7.23.24 Recording

Sarah Rockhill, MPH, Geospatial Epidemiologist at CDC will discuss the latest in the Public Health 3.0 model in which leaders serve as Chief Health Strategists, partnering across multiple sectors and leveraging data and resources to address social, environmental, and economic conditions that affect health and health equity. Charles Larimer, FSA, MAAA will present an epidemiological study of disease prevalence by ZIP code within a large metropolitan area and the underlying actuarial models supporting the study, using in part, models from the SOA course in Predictive Analytics. Using cluster analysis, the model identifies regions within the metropolitan area that have experienced high disease-specific prevalence relative to other parts of the city. Most major health systems that employ population health methods will use “where people live” as an important data element in their predictive analytics models. The session will provide, using coursework from the Johns Hopkins Epidemiology Department, explanations for why location matters so much in health status. We will also discuss issues of racial disparity in terms of disease prevalence and medical resources by ZIP code area.