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Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2

BACKGROUND: COVID-19 vaccine distribution is at risk of further propagating the inequities of COVID-19, which in the United States (US) has disproportionately impacted the elderly, people of color, and the medically vulnerable. We sought to measure if the disparities seen in the geographic distribut...

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Autores principales: Rader, Benjamin, Astley, Christina M., Sewalk, Kara, Delamater, Paul L., Cordiano, Kathryn, Wronski, Laura, Rivera, Jessica Malaty, Hallberg, Kai, Pera, Megan F., Cantor, Jonathan, Whaley, Christopher M., Bravata, Dena M., Lee, Leslie, Patel, Anita, Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649755/
https://www.ncbi.nlm.nih.gov/pubmed/36357587
http://dx.doi.org/10.1038/s43856-022-00183-8
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author Rader, Benjamin
Astley, Christina M.
Sewalk, Kara
Delamater, Paul L.
Cordiano, Kathryn
Wronski, Laura
Rivera, Jessica Malaty
Hallberg, Kai
Pera, Megan F.
Cantor, Jonathan
Whaley, Christopher M.
Bravata, Dena M.
Lee, Leslie
Patel, Anita
Brownstein, John S.
author_facet Rader, Benjamin
Astley, Christina M.
Sewalk, Kara
Delamater, Paul L.
Cordiano, Kathryn
Wronski, Laura
Rivera, Jessica Malaty
Hallberg, Kai
Pera, Megan F.
Cantor, Jonathan
Whaley, Christopher M.
Bravata, Dena M.
Lee, Leslie
Patel, Anita
Brownstein, John S.
author_sort Rader, Benjamin
collection PubMed
description BACKGROUND: COVID-19 vaccine distribution is at risk of further propagating the inequities of COVID-19, which in the United States (US) has disproportionately impacted the elderly, people of color, and the medically vulnerable. We sought to measure if the disparities seen in the geographic distribution of other COVID-19 healthcare resources were also present during the initial rollout of the COVID-19 vaccine. METHODS: Using a comprehensive COVID-19 vaccine database (VaccineFinder), we built an empirically parameterized spatial model of access to essential resources that incorporated vaccine supply, time-willing-to-travel for vaccination, and previous vaccination across the US. We then identified vaccine deserts—US Census tracts with localized, geographic barriers to vaccine-associated herd immunity. We link our model results with Census data and two high-resolution surveys to understand the distribution and determinates of spatially accessibility to the COVID-19 vaccine. RESULTS: We find that in early 2021, vaccine deserts were home to over 30 million people, >10% of the US population. Vaccine deserts were concentrated in rural locations and communities with a higher percentage of medically vulnerable populations. We also find that in locations of similar urbanicity, early vaccination distribution disadvantaged neighborhoods with more people of color and older aged residents. CONCLUSION: Given sufficient vaccine supply, data-driven vaccine distribution to vaccine deserts may improve immunization rates and help control COVID-19.
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spelling pubmed-96497552022-11-15 Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2 Rader, Benjamin Astley, Christina M. Sewalk, Kara Delamater, Paul L. Cordiano, Kathryn Wronski, Laura Rivera, Jessica Malaty Hallberg, Kai Pera, Megan F. Cantor, Jonathan Whaley, Christopher M. Bravata, Dena M. Lee, Leslie Patel, Anita Brownstein, John S. Commun Med (Lond) Article BACKGROUND: COVID-19 vaccine distribution is at risk of further propagating the inequities of COVID-19, which in the United States (US) has disproportionately impacted the elderly, people of color, and the medically vulnerable. We sought to measure if the disparities seen in the geographic distribution of other COVID-19 healthcare resources were also present during the initial rollout of the COVID-19 vaccine. METHODS: Using a comprehensive COVID-19 vaccine database (VaccineFinder), we built an empirically parameterized spatial model of access to essential resources that incorporated vaccine supply, time-willing-to-travel for vaccination, and previous vaccination across the US. We then identified vaccine deserts—US Census tracts with localized, geographic barriers to vaccine-associated herd immunity. We link our model results with Census data and two high-resolution surveys to understand the distribution and determinates of spatially accessibility to the COVID-19 vaccine. RESULTS: We find that in early 2021, vaccine deserts were home to over 30 million people, >10% of the US population. Vaccine deserts were concentrated in rural locations and communities with a higher percentage of medically vulnerable populations. We also find that in locations of similar urbanicity, early vaccination distribution disadvantaged neighborhoods with more people of color and older aged residents. CONCLUSION: Given sufficient vaccine supply, data-driven vaccine distribution to vaccine deserts may improve immunization rates and help control COVID-19. Nature Publishing Group UK 2022-11-10 /pmc/articles/PMC9649755/ /pubmed/36357587 http://dx.doi.org/10.1038/s43856-022-00183-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rader, Benjamin
Astley, Christina M.
Sewalk, Kara
Delamater, Paul L.
Cordiano, Kathryn
Wronski, Laura
Rivera, Jessica Malaty
Hallberg, Kai
Pera, Megan F.
Cantor, Jonathan
Whaley, Christopher M.
Bravata, Dena M.
Lee, Leslie
Patel, Anita
Brownstein, John S.
Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title_full Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title_fullStr Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title_full_unstemmed Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title_short Spatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
title_sort spatial modeling of vaccine deserts as barriers to controlling sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649755/
https://www.ncbi.nlm.nih.gov/pubmed/36357587
http://dx.doi.org/10.1038/s43856-022-00183-8
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