Innovative Discoveries Series

Exploring the Geography of Health in the US: the Impact of Health Factors and County-level Demographics

Improving population health requires a firm understanding of geographic influences of modifiable health factors, and, to do so, requires measuring and mapping the relationship between health outcomes, factors, as well as demographics. Using 2017 County Health Ranking data for 3,108 US counties, we investigated the spatial patterning in these relationships using spatial regression methods. Although we found that spatial patterning in health outcomes was substantially explained by spatial differences in levels of health factors, substantial residual spatial patterning remained. Findings suggested that both the outcomes and the health factors of neighboring counties have an impact on the outcomes for a given county. Finally, using geographically weighted regression models, we found that the associations of health factors with outcomes showed substantial spatial patterning and varied significantly across the US. Greater understanding of the spatial heterogeneity we observed is important to identifying the most effective interventions and evidence-based policies to improve population health.

Presented By:

Loni Tabb, PhD, MS

Associate Professor, Biostatistics, Department of Epidemiology and Biostatistics, Drexel University

Free!  Lunch will be served!

This activity has been approved for AMA PRA Category 1 Credit.


Friday, June 21, 2019
Noon to 1 p.m.
In-person: Christiana Hospital,Room 1100
Online: Watch live at
Or join meeting ID 361095905 on the BlueJeans app on your smartphone or tablet

This activity has been approved for AMA PRA Category 1 Credit.

Upcoming Lectures:

June 28: CANDOR: Christiana Care’s Journey to Communication and Resolution