Using Lorenz Curves to Measure Racial Inequities in COVID-19 Testing
January 8, 2021
Mody A, Pfeifauf K, Geng EH.
JAMA Network Open
Mody et al. investigated racial inequities and disparities in COVID-19 testing through a cross-sectional study examining data on COVID-19 tests, hospitalizations, and zip code-level demographics in St. Louis, Missouri, between March and August 2020. Modified Lorenz curves were generated to assess the disparities in COVID-19 testing compared to disease burden (hospitalizations). It was found that 22.9% of tests were conducted in 23 zip codes where half of the hospitalizations had occurred, with a majority of these zip codes being over 50% Black. In 86 zip codes that accounted for 25% of hospitalizations, 52.9% tests were conducted, and all of these areas were less than 50% Black. Authors suggest inadequate and inequitable testing scale-up to be a factor in these disparate outcomes, and recommend proactive public health responses to address this inequity.
Mody A, Pfeifauf K, Geng EH. Using Lorenz Curves to Measure Racial Inequities in COVID-19 Testing. JAMA Netw Open 2021; 4: e2032696–e2032696.