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How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia

BACKGROUND: COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social condit...

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Autores principales: Rich, John A., Miech, Edward J., Bilal, Usama, Corbin, Theodore J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130689/
https://www.ncbi.nlm.nih.gov/pubmed/35614426
http://dx.doi.org/10.1186/s12889-022-13414-3
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author Rich, John A.
Miech, Edward J.
Bilal, Usama
Corbin, Theodore J.
author_facet Rich, John A.
Miech, Edward J.
Bilal, Usama
Corbin, Theodore J.
author_sort Rich, John A.
collection PubMed
description BACKGROUND: COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social conditions intersect to explain the complex causes of lower COVID-19 vaccination rates in neighborhoods. METHODS: We used configurational comparative methods (CCMs) to study COVID-19 vaccination rates in Philadelphia by neighborhood (proxied by zip code tabulation areas). Specifically, we identified neighborhoods where COVID-19 vaccination rates (per 10,000) were persistently low from March 2021 – May 2021. We then assessed how different combinations of social conditions (pathways) uniquely distinguished neighborhoods with persistently low vaccination rates from the other neighborhoods in the city. Social conditions included measures of economic inequities, racial segregation, education, overcrowding, service employment, public transit use, health insurance and limited English proficiency. RESULTS: Two factors consistently distinguished neighborhoods with persistently low COVID-19 vaccination rates from the others: college education and concentrated racial privilege. Two factor values together – low college education AND low/medium concentrated racial privilege – identified persistently low COVID-19 vaccination rates in neighborhoods, with high consistency (0.92) and high coverage (0.86). Different values for education and concentrated racial privilege – medium/high college education OR high concentrated racial privilege – were each sufficient by themselves to explain neighborhoods where COVID-19 vaccination rates were not persistently low, likewise with high consistency (0.93) and high coverage (0.97). CONCLUSIONS: Pairing CCMs with geospatial mapping can help identify complex relationships between social conditions linked to low COVID-19 vaccination rates. Understanding how neighborhood conditions combine to create inequities in communities could inform the design of interventions tailored to address COVID-19 vaccination disparities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13414-3.
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spelling pubmed-91306892022-05-25 How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia Rich, John A. Miech, Edward J. Bilal, Usama Corbin, Theodore J. BMC Public Health Research BACKGROUND: COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social conditions intersect to explain the complex causes of lower COVID-19 vaccination rates in neighborhoods. METHODS: We used configurational comparative methods (CCMs) to study COVID-19 vaccination rates in Philadelphia by neighborhood (proxied by zip code tabulation areas). Specifically, we identified neighborhoods where COVID-19 vaccination rates (per 10,000) were persistently low from March 2021 – May 2021. We then assessed how different combinations of social conditions (pathways) uniquely distinguished neighborhoods with persistently low vaccination rates from the other neighborhoods in the city. Social conditions included measures of economic inequities, racial segregation, education, overcrowding, service employment, public transit use, health insurance and limited English proficiency. RESULTS: Two factors consistently distinguished neighborhoods with persistently low COVID-19 vaccination rates from the others: college education and concentrated racial privilege. Two factor values together – low college education AND low/medium concentrated racial privilege – identified persistently low COVID-19 vaccination rates in neighborhoods, with high consistency (0.92) and high coverage (0.86). Different values for education and concentrated racial privilege – medium/high college education OR high concentrated racial privilege – were each sufficient by themselves to explain neighborhoods where COVID-19 vaccination rates were not persistently low, likewise with high consistency (0.93) and high coverage (0.97). CONCLUSIONS: Pairing CCMs with geospatial mapping can help identify complex relationships between social conditions linked to low COVID-19 vaccination rates. Understanding how neighborhood conditions combine to create inequities in communities could inform the design of interventions tailored to address COVID-19 vaccination disparities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13414-3. BioMed Central 2022-05-25 /pmc/articles/PMC9130689/ /pubmed/35614426 http://dx.doi.org/10.1186/s12889-022-13414-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rich, John A.
Miech, Edward J.
Bilal, Usama
Corbin, Theodore J.
How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title_full How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title_fullStr How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title_full_unstemmed How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title_short How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia
title_sort how education and racial segregation intersect in neighborhoods with persistently low covid-19 vaccination rates in philadelphia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130689/
https://www.ncbi.nlm.nih.gov/pubmed/35614426
http://dx.doi.org/10.1186/s12889-022-13414-3
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