Relationship between socio-demographics and COVID-19: a case study in three Texas regions
Abstract
This study investigates the spatial relationships between socio-demographic factors and COVID-19 density at the zip code level to understand emerging patterns and prevent further outbreaks. Utilizing ordinary least squares (OLS) and geographically weighted regression (GWR), the study finds that poverty rates, African American and Hispanic populations are influential factors in COVID-19 density. GWR results indicate varying associations between socio-demographics and COVID-19 density across postal areas. These findings suggest socio-demographic disparities during the pandemic and emphasize the importance of tailored interventions and prevention strategies based on local situations. Policymakers are urged to prioritize localized approaches rather than global strategies in addressing COVID-19 outbreaks.
Team
Yefu Chen, Junfeng Jiao, Ph.D
Acknowledgement
This project was supported by the Good System Grand Challenge and the Cooperative Mobility for Competitive Megaregions (CM2) center both at The University of Texas at Austin.
