Evidence map›Paper›PMID 33221832›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks.

Jon Zelner, Rob Trangucci, Ramya Naraharisetti, Alex Cao, Ryan Malosh, Kelly Broen, Nina Masters, Paul Delamater

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Skin as a Potential Entry Point for SARS-CoV-2 Virus.International journal of molecular sciences · 2026
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  7. SKIN AS A POTENTIAL ENTRY POINT FOR SARS-COV-2.bioRxiv : the preprint server for biology · 2026
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jon ZelnerDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Rob TrangucciDepartment of Statistics, University of Michigan, Ann Arbor, Michigan, USA.
Ramya NaraharisettiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Alex CaoConsulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, Michigan, USA.
Ryan MaloshDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Kelly BroenDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Nina MastersCenter for Social Epidemiology and Public Health, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Paul DelamaterDepartment of Geography, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
IP20-003, Data driven transmission models to optimize influenza vaccination and pandemic mitigation strategies - COVID-19 SupplementU01IP001138 · IP · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZELNER, JONATHAN L · 2020 to 2024
$3.4M
NCIRD CDC HHS U01 IP001138NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundAs of 1 November 2020, there have been >230 000 deaths and 9 million confirmed and probable cases attributable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the United States. However, this overwhelming toll has not been distributed equally, with geographic, race/ethnic, age, and socioeconomic disparities in exposure and mortality defining features of the US coronavirus disease 2019 (COVID-19) epidemic.

methodsWe used individual-level COVID-19 incidence and mortality data from the state of Michigan to estimate age-specific incidence and mortality rates by race/ethnic group. Data were analyzed using hierarchical Bayesian regression models, and model results were validated using posterior predictive checks.

resultsIn crude and age-standardized analyses we found rates of incidence and mortality more than twice as high than for Whites for all groups except Native Americans. Blacks experienced the greatest burden of confirmed and probable COVID-19 (age-standardized incidence, 1626/100 000 population) and mortality (age-standardized mortality rate, 244/100 000). These rates reflect large disparities, as Blacks experienced age-standardized incidence and mortality rates 5.5 (95% posterior credible interval [CrI], 5.4-5.6) and 6.7 (95% CrI, 6.4-7.1) times higher than Whites, respectively. We found that the bulk of the disparity in mortality between Blacks and Whites is driven by dramatically higher rates of COVID-19 infection across all age groups, particularly among older adults, rather than age-specific variation in case-fatality rates.

conclusionsThis work suggests that well-documented racial disparities in COVID-19 mortality in hard-hit settings, such as Michigan, are driven primarily by variation in household, community, and workplace exposure rather than case-fatality rates.

Indexed as

COVID-19AgedBayes TheoremBlack or African AmericanHealth Status DisparitiesHumansMichiganMortalitySARS-CoV-2United StatesCOVID-19disparitiesSARS-CoV-2social epidemiology

Identifiers

PMID33221832
PMCPMC7717213

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.