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COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects

This paper investigates the spatial dimension of socioeconomic and demographic factors behind COVID-19 vaccine hesitancy. With a focus on a county with considerable sociodemographic diversity in the state of Texas, USA, we apply regression models to census-tract-level data of the unvaccinated popula...

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Detalles Bibliográficos
Autores principales: Lee, Jim, Huang, Yuxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950417/
https://www.ncbi.nlm.nih.gov/pubmed/35334984
http://dx.doi.org/10.3390/vaccines10030352
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author Lee, Jim
Huang, Yuxia
author_facet Lee, Jim
Huang, Yuxia
author_sort Lee, Jim
collection PubMed
description This paper investigates the spatial dimension of socioeconomic and demographic factors behind COVID-19 vaccine hesitancy. With a focus on a county with considerable sociodemographic diversity in the state of Texas, USA, we apply regression models to census-tract-level data of the unvaccinated population. In addition to disparities in accessing the vaccination service, particularly for residents in rural areas, empirical results confirm under-vaccination among lower socioeconomic neighborhoods and communities with signs of distrust in government. The spatial model regressions further underscore the impact that vaccine hesitancy among residents in one community spread to its nearby communities. This observed spatial spillover effect is attributable to the geographic interactions of similar socioeconomic groups.
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spelling pubmed-89504172022-03-26 COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects Lee, Jim Huang, Yuxia Vaccines (Basel) Article This paper investigates the spatial dimension of socioeconomic and demographic factors behind COVID-19 vaccine hesitancy. With a focus on a county with considerable sociodemographic diversity in the state of Texas, USA, we apply regression models to census-tract-level data of the unvaccinated population. In addition to disparities in accessing the vaccination service, particularly for residents in rural areas, empirical results confirm under-vaccination among lower socioeconomic neighborhoods and communities with signs of distrust in government. The spatial model regressions further underscore the impact that vaccine hesitancy among residents in one community spread to its nearby communities. This observed spatial spillover effect is attributable to the geographic interactions of similar socioeconomic groups. MDPI 2022-02-24 /pmc/articles/PMC8950417/ /pubmed/35334984 http://dx.doi.org/10.3390/vaccines10030352 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Jim
Huang, Yuxia
COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title_full COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title_fullStr COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title_full_unstemmed COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title_short COVID-19 Vaccine Hesitancy: The Role of Socioeconomic Factors and Spatial Effects
title_sort covid-19 vaccine hesitancy: the role of socioeconomic factors and spatial effects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950417/
https://www.ncbi.nlm.nih.gov/pubmed/35334984
http://dx.doi.org/10.3390/vaccines10030352
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