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Timing of Infection as a Key Driver of Racial/Ethnic Disparities in Coronavirus Disease 2019 Mortality Rates During the Prevaccine Period
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Timing of Infection as a Key Driver of Racial/Ethnic Disparities in Coronavirus Disease 2019 Mortality Rates During the Prevaccine Period
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Journal Article
Timing of Infection as a Key Driver of Racial/Ethnic Disparities in Coronavirus Disease 2019 Mortality Rates During the Prevaccine Period
2025
Overview
Abstract
Disparities in coronavirus disease 2019 mortality are driven by inequalities in group-specific incidence rates (IRs), case fatality rates (CFRs), and their interaction. For emerging infections, such as severe acute respiratory syndrome coronavirus 2, group-specific IRs and CFRs change on different time scales, and inequities in these measures may reflect different social and medical mechanisms. To be useful tools for public health surveillance and policy, analyses of changing mortality rate disparities must independently address changes in IRs and CFRs. However, this is rarely done. In this analysis, we examine the separate contributions of disparities in the timing of infection—reflecting differential infection risk factors such as residential segregation, housing, and participation in essential work—and declining CFRs over time on mortality disparities by race/ethnicity in the US state of Michigan. We used detailed case data to decompose race/ethnicity-specific mortality rates into their age-specific IR and CFR components during each of 3 periods from March to December 2020. We used these estimates in a counterfactual simulation model to estimate that that 35% (95% credible interval, 30%–40%) of deaths in black Michigan residents could have been prevented if these residents were infected along the timeline experienced by white residents, resulting in a 67% (61%–72%) reduction in the mortality rate gap between black and white Michigan residents during 2020. These results clearly illustrate why differential power to “wait out” infection during an infectious disease emergency—a function of structural racism—is a key, underappreciated, driver of inequality in disease and death from emerging infections.
Data from Michigan demonstrate how structural racism drove inequality in COVID-19 mortality via its impact on the time ordering of infection, due to differential risks of exposure across racial and ethnic groups when case fatality rates were high.
Publisher
Oxford University Press
Subject
