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Assessing differential impacts of COVID-19 on black communities

PURPOSE: Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in U.S. counties to describe racial disparities in COVID-19 disease and death and associated determinants. METHODS: Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and de...

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Autores principales: Millett, Gregorio A., Jones, Austin T., Benkeser, David, Baral, Stefan, Mercer, Laina, Beyrer, Chris, Honermann, Brian, Lankiewicz, Elise, Mena, Leandro, Crowley, Jeffrey S., Sherwood, Jennifer, Sullivan, Patrick S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224670/
https://www.ncbi.nlm.nih.gov/pubmed/32419766
http://dx.doi.org/10.1016/j.annepidem.2020.05.003
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author Millett, Gregorio A.
Jones, Austin T.
Benkeser, David
Baral, Stefan
Mercer, Laina
Beyrer, Chris
Honermann, Brian
Lankiewicz, Elise
Mena, Leandro
Crowley, Jeffrey S.
Sherwood, Jennifer
Sullivan, Patrick S.
author_facet Millett, Gregorio A.
Jones, Austin T.
Benkeser, David
Baral, Stefan
Mercer, Laina
Beyrer, Chris
Honermann, Brian
Lankiewicz, Elise
Mena, Leandro
Crowley, Jeffrey S.
Sherwood, Jennifer
Sullivan, Patrick S.
author_sort Millett, Gregorio A.
collection PubMed
description PURPOSE: Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in U.S. counties to describe racial disparities in COVID-19 disease and death and associated determinants. METHODS: Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (≥13%) black and all other (<13% black) counties. Rate ratios were calculated, and population attributable fractions were estimated using COVID-19 cases and deaths via zero-inflated negative binomial regression model. National maps with county-level data and an interactive scatterplot of COVID-19 cases were generated. RESULTS: Nearly 90% of disproportionately black counties (656/677) reported a case and 49% (330/677) reported a death versus 81% (1987/2465) and 28% (684/2465), respectively, for all other counties. Counties with higher proportions of black people have higher prevalence of comorbidities and greater air pollution. Counties with higher proportions of black residents had more COVID-19 diagnoses (Rate Ratio (RR): 1.24, 95% confidence interval: 1.17–1.33) and deaths (RR: 1.18, 95% confidence interval: 1.00–1.40), after adjusting for county-level characteristics such as age, poverty, comorbidities, and epidemic duration. COVID-19 deaths were higher in disproportionally black rural and small metro counties. The population attributable fraction of COVID-19 diagnosis due to lack of health insurance was 3.3% for counties with less than 13% black residents and 4.2% for counties with greater than or equal to 13% black residents. CONCLUSIONS: Nearly 20% of U.S. counties are disproportionately black, and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities.
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spelling pubmed-72246702020-05-15 Assessing differential impacts of COVID-19 on black communities Millett, Gregorio A. Jones, Austin T. Benkeser, David Baral, Stefan Mercer, Laina Beyrer, Chris Honermann, Brian Lankiewicz, Elise Mena, Leandro Crowley, Jeffrey S. Sherwood, Jennifer Sullivan, Patrick S. Ann Epidemiol Article PURPOSE: Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in U.S. counties to describe racial disparities in COVID-19 disease and death and associated determinants. METHODS: Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (≥13%) black and all other (<13% black) counties. Rate ratios were calculated, and population attributable fractions were estimated using COVID-19 cases and deaths via zero-inflated negative binomial regression model. National maps with county-level data and an interactive scatterplot of COVID-19 cases were generated. RESULTS: Nearly 90% of disproportionately black counties (656/677) reported a case and 49% (330/677) reported a death versus 81% (1987/2465) and 28% (684/2465), respectively, for all other counties. Counties with higher proportions of black people have higher prevalence of comorbidities and greater air pollution. Counties with higher proportions of black residents had more COVID-19 diagnoses (Rate Ratio (RR): 1.24, 95% confidence interval: 1.17–1.33) and deaths (RR: 1.18, 95% confidence interval: 1.00–1.40), after adjusting for county-level characteristics such as age, poverty, comorbidities, and epidemic duration. COVID-19 deaths were higher in disproportionally black rural and small metro counties. The population attributable fraction of COVID-19 diagnosis due to lack of health insurance was 3.3% for counties with less than 13% black residents and 4.2% for counties with greater than or equal to 13% black residents. CONCLUSIONS: Nearly 20% of U.S. counties are disproportionately black, and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities. The Author(s). Published by Elsevier Inc. 2020-07 2020-05-14 /pmc/articles/PMC7224670/ /pubmed/32419766 http://dx.doi.org/10.1016/j.annepidem.2020.05.003 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Millett, Gregorio A.
Jones, Austin T.
Benkeser, David
Baral, Stefan
Mercer, Laina
Beyrer, Chris
Honermann, Brian
Lankiewicz, Elise
Mena, Leandro
Crowley, Jeffrey S.
Sherwood, Jennifer
Sullivan, Patrick S.
Assessing differential impacts of COVID-19 on black communities
title Assessing differential impacts of COVID-19 on black communities
title_full Assessing differential impacts of COVID-19 on black communities
title_fullStr Assessing differential impacts of COVID-19 on black communities
title_full_unstemmed Assessing differential impacts of COVID-19 on black communities
title_short Assessing differential impacts of COVID-19 on black communities
title_sort assessing differential impacts of covid-19 on black communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224670/
https://www.ncbi.nlm.nih.gov/pubmed/32419766
http://dx.doi.org/10.1016/j.annepidem.2020.05.003
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