Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.

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

Mody, A., Pfeifauf, K., Bradley, C., Fox, B., Hlatshwayo, M. G., Ross, W., Sanders-Thompson, V., Maddox, K.J., Reidhead, M., Schootman, M., Powerdly, W.G., Geng, E.H.

Release Date:

Peer Review Study

Data Collection and Analysis
Healthcare Access and Quality
Tools Included
Outside U.S.

Data Collection and Reporting

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

Outcomes of Interest

Advancing Racial Equity

Priority Population(s)

Black or African American

Setting(s) of Implementation


Geographic Area of Implementation


Implementation Period