Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
In their commentary, Zalla et al. (Am J Epidemiol. 2021;190(8):1439-1446) argue that the approach taken by the Centers for Disease Control and Prevention, comparing the proportion of coronavirus disease 2019 (COVID-19) deaths by race/ethnicity with a weighted population distribution, ignores how systemic racism structures the composition of places. While the Centers for Disease Control and Prevention have abandoned their measure, they did so because of the changing geographic distribution of COVID-19, not because the measure underestimates racial disparities. We further Zalla et al.'s argument, advocating for a relational approach to estimating COVID-19 racial inequities that integrates the reciprocal relationship between context and composition through the interaction of places and people over time. To support our argument, we present a series of figures exploring the heterogeneous relationships between places, people, and time, using publicly available, US county-level COVID-19 mortality data from February to December 2020 from Johns Hopkins University. Longitudinal and more geographically granular data that allows for disaggregation by person, place, and time will improve our estimation and understanding of inequities in COVID-19.
Schnake-Mahl and Bilal Respond to "Structural Racism and COVID-19 Mortality in the US"
Creators
Alina S. Schnake-Mahl - Drexel University
Usama Bilal - Drexel University
Publication Details
American journal of epidemiology, v 190(8), pp 1447-1451
Publisher
Oxford Univ Press
Number of pages
5
Grant note
DP5OD26429 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
RWJF 77644; 78325 / Robert Wood Johnson Foundation; Robert Wood Johnson Foundation (RWJF)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative; Health Management and Policy
Web of Science ID
WOS:000734318800003
Scopus ID
2-s2.0-85113275911
Other Identifier
991019167683204721
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