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Racial-Ethnic Residential Clustering and Early COVID-19 Vaccine Allocations in Five Urban Texas Counties.
Anderson, Kathryn Freeman; Ray-Warren, Darra.
  • Anderson KF; University of Houston, Houston, TX, USA.
  • Ray-Warren D; University of Houston, Houston, TX, USA.
J Health Soc Behav ; 63(4): 472-490, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-1685828
ABSTRACT
Previous research has indicated that racial-ethnic minority communities lack a wide variety of health-related organizations. We examine how this relates to the early COVID-19 vaccine rollout. In a series of spatial error and linear growth models, we analyze how racial-ethnic residential segregation is associated with the distribution of vaccine sites and vaccine doses across ZIP codes in the five largest urban counties in Texas. We find that Black and Latino clustered ZIP codes are less likely to have vaccine distribution sites and that this disparity is partially explained by the lack of hospitals and physicians' offices in these areas. Moreover, Black clustering is also negatively related to the number of allocated vaccine doses, and again, this is largely explained by the unequal distribution of health care resources. These results suggest that extant disparities in service provision are key to understanding racial-ethnic inequality in an acute crisis like the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ethnicity / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: J Health Soc Behav Year: 2022 Document Type: Article Affiliation country: 00221465221074915

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ethnicity / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: J Health Soc Behav Year: 2022 Document Type: Article Affiliation country: 00221465221074915