Use of Zip Code Based Aggregate Indicators to Assess Race Disparities in COVID-19.

Objective: In the first six months of the pandemic, information on race and ethnic­ity was missing for half of the US COVID-19 cases. Combining case ascertainment with census-based zip code indicators may iden­tify COVID-19 race-ethnicity disparities in the absence of individual-level data. Design: Ecological retrospective study for the period March-July 2020. Setting: Population-based investigation, Al­legheny County, Pennsylvania. Participants: All COVID-19 cases, adjusted for zip code area population, in the early period of the pandemic. Main Outcome Measures: Monthly COVID-19 incidence and requests for hu­man services by zip code level indicators of race-ethnicity and poverty. Results: In the early period of the pan­demic, COVID-19 incidence was higher in zip codes with a greater proportion of racial and ethnic minorities. Zip codes with the highest quartile of minority residents (>25.1% of population) had a COVID-19 incidence of 60.1 (95% CI: 51.7-68.5) per 10,000 in this period; zip codes with the lowest quartile of minority residents (<6.3%) had an incidence of 31.3 (95% CI: 14.4-48.2). Requests for human services during this period (volume of 211 calls and county services) confirm these disparities. Conclusion: Use of census-defined race-ethnicity proportions by zip code offers a way to identify disparities when individual race-ethnicity data are unavailable. Ethn Dis. 2021;31(3):399-406; doi:10.18865/ed.31.3.399