Understanding Drivers of Coronavirus Disease 2019 (COVID-19) Racial Disparities: A Population-Level Analysis of COVID-19 Testing Among Black and White Populations

This study adapted the Lorenz curve methodology to characterize disparate outcomes in COVID-19 testing across time, regions, and ZIP codes for the St. Louis and Kansas City regions. The results showed that Black individuals have half the rate of testing per case than White populations, even among Black and White individuals residing in the same ZIP code. The study calls for equitable testing strategies and routine monitoring using formal metrics to inform adaptive testing strategies.

Resource Details

• Population: Black or African American
• Geographic Areas of Implementation: Urban
• Setting/Context of Implementation: Community
• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Advancing Racial Equity
• Level of Evidence: Novel
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Healthcare Access and Quality
• Outside of US: No