Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach

Racial/ethnic disparities are among the top-selective underlying determinants associated with the disproportional impact of the COVID-19 pandemic on human mobility and health outcomes. This study jointly examined county-level racial/ethnic differences in compliance with stay-at-home orders and COVID...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Songhua Hu, Weiyu Luo, Aref Darzi, Yixuan Pan, Guangchen Zhao, Yuxuan Liu, Chenfeng Xiong
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1a30db60adf246c8aea922f821db1cce
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1a30db60adf246c8aea922f821db1cce
record_format	dspace
spelling	oai:doaj.org-article:1a30db60adf246c8aea922f821db1cce2021-11-18T08:14:32ZDo racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach1932-6203https://doaj.org/article/1a30db60adf246c8aea922f821db1cce2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584966/?tool=EBIhttps://doaj.org/toc/1932-6203Racial/ethnic disparities are among the top-selective underlying determinants associated with the disproportional impact of the COVID-19 pandemic on human mobility and health outcomes. This study jointly examined county-level racial/ethnic differences in compliance with stay-at-home orders and COVID-19 health outcomes during 2020, leveraging two-year geo-tracking data of mobile devices across ~4.4 million point-of-interests (POIs) in the contiguous United States. Through a set of structural equation modeling, this study quantified how racial/ethnic differences in following stay-at-home orders could mediate COVID-19 health outcomes, controlling for state effects, socioeconomics, demographics, occupation, and partisanship. Results showed that counties with higher Asian populations decreased most in their travel, both in terms of reducing their overall POIs’ visiting and increasing their staying home percentage. Moreover, counties with higher White populations experienced the lowest infection rate, while counties with higher African American populations presented the highest case-fatality ratio. Additionally, control variables, particularly partisanship, median household income, percentage of elders, and urbanization, significantly accounted for the county differences in human mobility and COVID-19 health outcomes. Mediation analyses further revealed that human mobility only statistically influenced infection rate but not case-fatality ratio, and such mediation effects varied substantially among racial/ethnic compositions. Last, robustness check of racial gradient at census block group level documented consistent associations but greater magnitude. Taken together, these findings suggest that US residents’ responses to COVID-19 are subject to an entrenched and consequential racial/ethnic divide.Songhua HuWeiyu LuoAref DarziYixuan PanGuangchen ZhaoYuxuan LiuChenfeng XiongPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Songhua Hu Weiyu Luo Aref Darzi Yixuan Pan Guangchen Zhao Yuxuan Liu Chenfeng Xiong Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
description	Racial/ethnic disparities are among the top-selective underlying determinants associated with the disproportional impact of the COVID-19 pandemic on human mobility and health outcomes. This study jointly examined county-level racial/ethnic differences in compliance with stay-at-home orders and COVID-19 health outcomes during 2020, leveraging two-year geo-tracking data of mobile devices across ~4.4 million point-of-interests (POIs) in the contiguous United States. Through a set of structural equation modeling, this study quantified how racial/ethnic differences in following stay-at-home orders could mediate COVID-19 health outcomes, controlling for state effects, socioeconomics, demographics, occupation, and partisanship. Results showed that counties with higher Asian populations decreased most in their travel, both in terms of reducing their overall POIs’ visiting and increasing their staying home percentage. Moreover, counties with higher White populations experienced the lowest infection rate, while counties with higher African American populations presented the highest case-fatality ratio. Additionally, control variables, particularly partisanship, median household income, percentage of elders, and urbanization, significantly accounted for the county differences in human mobility and COVID-19 health outcomes. Mediation analyses further revealed that human mobility only statistically influenced infection rate but not case-fatality ratio, and such mediation effects varied substantially among racial/ethnic compositions. Last, robustness check of racial gradient at census block group level documented consistent associations but greater magnitude. Taken together, these findings suggest that US residents’ responses to COVID-19 are subject to an entrenched and consequential racial/ethnic divide.
format	article
author	Songhua Hu Weiyu Luo Aref Darzi Yixuan Pan Guangchen Zhao Yuxuan Liu Chenfeng Xiong
author_facet	Songhua Hu Weiyu Luo Aref Darzi Yixuan Pan Guangchen Zhao Yuxuan Liu Chenfeng Xiong
author_sort	Songhua Hu
title	Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
title_short	Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
title_full	Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
title_fullStr	Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
title_full_unstemmed	Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach
title_sort	do racial and ethnic disparities in following stay-at-home orders influence covid-19 health outcomes? a mediation analysis approach
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/1a30db60adf246c8aea922f821db1cce
work_keys_str_mv	AT songhuahu doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT weiyuluo doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT arefdarzi doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT yixuanpan doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT guangchenzhao doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT yuxuanliu doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach AT chenfengxiong doracialandethnicdisparitiesinfollowingstayathomeordersinfluencecovid19healthoutcomesamediationanalysisapproach
_version_	1718422030009761792

Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach

Ejemplares similares