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01 · ABSTRACT

Abstract

Purpose: Historically until date, viral pathogens remain very challenging with respect to transmission, severity, mortality and survival with respect to sub-population variances. While racial disparities in cumulative incidence (CmI) and mortality from the influenza pandemics of 1918 and 2009 implicated Blacks with survival disadvantage relative to Whites in the United States, COVID-19 currently indicates comparable disparities. We aimed to: assess COVID-19 CmI by race, determine the Black–White case fatality (CF) and risk differentials, and apply explanatory model for mortality risk differentials.

Methods: COVID-19 data on confirmed cases and deaths by selective states health departments were assessed using a cross-sectional ecologic design. Chi-square was used for CF independence, while binomial regression model for the Black–White risk differentials.

Results: The COVID-19 mortality CmI was disproportionate among Blacks/AA with 34% of the total mortality in the United States, albeit their 13% population size. The COVID-19 CF was higher among Blacks/AA relative to Whites; Maryland, (2.7% vs. 2.5%), Wisconsin (7.4% vs. 4.8%), Illinois (4.8% vs. 4.2%), Chicago (5.9% vs. 3.2%), Detroit (Michigan), 7.2% and St. John the Baptist Parish (Louisiana), 7.9%. Blacks/AA compared to Whites in Michigan were 15% more likely to die, CmI risk ratio (CmIRR) = 1.15, 95% CI, 1.01–1.32. Blacks/AA relative to Whites in Illinois were 13% more likely to die, CmIRR = 1.13, 95% CI, 0.93–1.39, while Blacks/AA compared to Whites in Wisconsin were 51% more likely to die, CmIRR = 1.51, 95% CI, 1.10–2.10. In Chicago, Blacks/AA were more than twice as likely to die, CmIRR = 2.24, 95% CI, 1.36–3.88.

Conclusion: Substantial racial/ethnic disparities are observed in COVID-19 CF and mortality with Blacks/AA disproportionately affected across the United States.

Keywords: COVID-19 (SARS-COV2), race/ethnicity, case fatality, mortality, health disparities, United States

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 10 No 6 (2022): Vol.10 Issue 6 June 2022
SectionResearch Articles
Published20 June 2022
DOI10.18103/mra.v10i6.2786
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

KD

Keerti Deepika

Global Epigenomic Research Analytics, Wilmington, DE 19802 ; Fellow of Translational Health Disparities Science (FTHDS), Wilmington, DE 19803, USA

JW

Janille Williams

Global Epigenomic Research Analytics, Wilmington, DE 19802; Fellow of Translational Health Disparities Science (FTHDS), Wilmington, DE 19803, USA

BO

Benjamin Ogundele

Global Epigenomic Research Analytics, Wilmington, DE 19802; Fellow of Translational Health Disparities Science (FTHDS), Wilmington, DE 19803, USA

ME

Michael Enwere

Global Epigenomic Research Analytics, Wilmington, DE 19802; Fellow of Translational Health Disparities Science (FTHDS), Wilmington, DE 19803, USA; Public Health Department, Walden University, Minneapolis, MN 55401, USA

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