Cargando…

Evolution of COVID-19 Health Disparities in Arizona

COVID-19 burdens are disproportionally high in underserved and vulnerable communities in Arizona. As the pandemic progressed, it is unclear if the initial associated health disparities have changed. This study aims to elicit the dynamic landscape of COVID-19 disparities at the community level and id...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Felix L., Shu, Jingmin, Lee, Matthew, Oh, Hyunsung, Li, Ming, Runger, George, Marsiglia, Flavio F., Liu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909642/
https://www.ncbi.nlm.nih.gov/pubmed/36757600
http://dx.doi.org/10.1007/s10903-023-01449-6
_version_ 1784884617088598016
author Shen, Felix L.
Shu, Jingmin
Lee, Matthew
Oh, Hyunsung
Li, Ming
Runger, George
Marsiglia, Flavio F.
Liu, Li
author_facet Shen, Felix L.
Shu, Jingmin
Lee, Matthew
Oh, Hyunsung
Li, Ming
Runger, George
Marsiglia, Flavio F.
Liu, Li
author_sort Shen, Felix L.
collection PubMed
description COVID-19 burdens are disproportionally high in underserved and vulnerable communities in Arizona. As the pandemic progressed, it is unclear if the initial associated health disparities have changed. This study aims to elicit the dynamic landscape of COVID-19 disparities at the community level and identify newly emerging vulnerable subpopulations. Findings from this study can inform interventions to increase health equity among minoritized communities in the Southwest, other regions of the US, and globally. We compiled biweekly COVID-19 case counts of 274 zip code tabulation areas (ZCTAs) in Arizona from October 21, 2020, to November 25, 2021, a time spanning multiple waves of COVID-19 case growth. Within each biweekly period, we tested the associations between the growth rate of COVID-19 cases and the population composition in a ZCTA including race/ethnicity, income, employment, and age using multiple regression analysis. We then compared the associations across time periods to discover temporal patterns of health disparities. The association between the percentage of Latinx population and the COVID-19 growth rate was positive before April 2021 but gradually converted to negative afterwards. The percentage of Black population was not associated with the COVID-19 growth rate at the beginning of the study but became positive after January 2021 which persisted till the end of the study period. Young median age and high unemployment rate emerged as new risk factors around mid-August 2021. Based on these findings, we identified 37 ZCTAs that were highly vulnerable to future fast escalation of COVID-19 cases. As the pandemic progresses, vulnerabilities associated with Latinx ethnicity improved gradually, possibly bolstered by culturally responsive programs in Arizona to support Latinx. Still communities with disadvantaged social determinants of health continued to struggle. Our findings inform the need to adjust current resource allocations to support the design and implementation of new interventions addressing the emerging vulnerabilities at the community level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10903-023-01449-6.
format Online
Article
Text
id pubmed-9909642
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-99096422023-02-09 Evolution of COVID-19 Health Disparities in Arizona Shen, Felix L. Shu, Jingmin Lee, Matthew Oh, Hyunsung Li, Ming Runger, George Marsiglia, Flavio F. Liu, Li J Immigr Minor Health Original Paper COVID-19 burdens are disproportionally high in underserved and vulnerable communities in Arizona. As the pandemic progressed, it is unclear if the initial associated health disparities have changed. This study aims to elicit the dynamic landscape of COVID-19 disparities at the community level and identify newly emerging vulnerable subpopulations. Findings from this study can inform interventions to increase health equity among minoritized communities in the Southwest, other regions of the US, and globally. We compiled biweekly COVID-19 case counts of 274 zip code tabulation areas (ZCTAs) in Arizona from October 21, 2020, to November 25, 2021, a time spanning multiple waves of COVID-19 case growth. Within each biweekly period, we tested the associations between the growth rate of COVID-19 cases and the population composition in a ZCTA including race/ethnicity, income, employment, and age using multiple regression analysis. We then compared the associations across time periods to discover temporal patterns of health disparities. The association between the percentage of Latinx population and the COVID-19 growth rate was positive before April 2021 but gradually converted to negative afterwards. The percentage of Black population was not associated with the COVID-19 growth rate at the beginning of the study but became positive after January 2021 which persisted till the end of the study period. Young median age and high unemployment rate emerged as new risk factors around mid-August 2021. Based on these findings, we identified 37 ZCTAs that were highly vulnerable to future fast escalation of COVID-19 cases. As the pandemic progresses, vulnerabilities associated with Latinx ethnicity improved gradually, possibly bolstered by culturally responsive programs in Arizona to support Latinx. Still communities with disadvantaged social determinants of health continued to struggle. Our findings inform the need to adjust current resource allocations to support the design and implementation of new interventions addressing the emerging vulnerabilities at the community level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10903-023-01449-6. Springer US 2023-02-09 /pmc/articles/PMC9909642/ /pubmed/36757600 http://dx.doi.org/10.1007/s10903-023-01449-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Shen, Felix L.
Shu, Jingmin
Lee, Matthew
Oh, Hyunsung
Li, Ming
Runger, George
Marsiglia, Flavio F.
Liu, Li
Evolution of COVID-19 Health Disparities in Arizona
title Evolution of COVID-19 Health Disparities in Arizona
title_full Evolution of COVID-19 Health Disparities in Arizona
title_fullStr Evolution of COVID-19 Health Disparities in Arizona
title_full_unstemmed Evolution of COVID-19 Health Disparities in Arizona
title_short Evolution of COVID-19 Health Disparities in Arizona
title_sort evolution of covid-19 health disparities in arizona
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909642/
https://www.ncbi.nlm.nih.gov/pubmed/36757600
http://dx.doi.org/10.1007/s10903-023-01449-6
work_keys_str_mv AT shenfelixl evolutionofcovid19healthdisparitiesinarizona
AT shujingmin evolutionofcovid19healthdisparitiesinarizona
AT leematthew evolutionofcovid19healthdisparitiesinarizona
AT ohhyunsung evolutionofcovid19healthdisparitiesinarizona
AT liming evolutionofcovid19healthdisparitiesinarizona
AT rungergeorge evolutionofcovid19healthdisparitiesinarizona
AT marsigliaflaviof evolutionofcovid19healthdisparitiesinarizona
AT liuli evolutionofcovid19healthdisparitiesinarizona