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Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population

COVID-19 vaccination is being rapidly rolled out in the US and many other countries, and it is crucial to provide fast and accurate assessment of vaccination coverage and vaccination gaps to make strategic adjustments promoting vaccine coverage. We reported the effective use of real-time geospatial...

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Autores principales: Bauer, Cici, Zhang, Kehe, Lee, Miryoung, Jones, Michelle, Rodriguez, Arturo, de la Cerda, Isela, Reininger, Belinda, Fisher-Hoch, Susan P., McCormick, Joseph B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437959/
https://www.ncbi.nlm.nih.gov/pubmed/34518570
http://dx.doi.org/10.1038/s41598-021-97416-y
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author Bauer, Cici
Zhang, Kehe
Lee, Miryoung
Jones, Michelle
Rodriguez, Arturo
de la Cerda, Isela
Reininger, Belinda
Fisher-Hoch, Susan P.
McCormick, Joseph B.
author_facet Bauer, Cici
Zhang, Kehe
Lee, Miryoung
Jones, Michelle
Rodriguez, Arturo
de la Cerda, Isela
Reininger, Belinda
Fisher-Hoch, Susan P.
McCormick, Joseph B.
author_sort Bauer, Cici
collection PubMed
description COVID-19 vaccination is being rapidly rolled out in the US and many other countries, and it is crucial to provide fast and accurate assessment of vaccination coverage and vaccination gaps to make strategic adjustments promoting vaccine coverage. We reported the effective use of real-time geospatial analysis to identify barriers and gaps in COVID-19 vaccination in a minority population living in South Texas on the US-Mexico Border, to inform vaccination campaign strategies. We developed 4 rank-based approaches to evaluate the vaccination gap at the census tract level, which considered both population vulnerability and vaccination priority and eligibility. We identified areas with the highest vaccination gaps using different assessment approaches. Real-time geospatial analysis to identify vaccination gaps is critical to rapidly increase vaccination uptake, and to reach herd immunity in the vulnerable and the vaccine hesitant groups. Our results assisted the City of Brownsville Public Health Department in adjusting real-time targeting of vaccination, gathering coverage assessment, and deploying services to areas identified as high vaccination gap. The analyses and responses can be adopted in other locations.
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spelling pubmed-84379592021-09-15 Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population Bauer, Cici Zhang, Kehe Lee, Miryoung Jones, Michelle Rodriguez, Arturo de la Cerda, Isela Reininger, Belinda Fisher-Hoch, Susan P. McCormick, Joseph B. Sci Rep Article COVID-19 vaccination is being rapidly rolled out in the US and many other countries, and it is crucial to provide fast and accurate assessment of vaccination coverage and vaccination gaps to make strategic adjustments promoting vaccine coverage. We reported the effective use of real-time geospatial analysis to identify barriers and gaps in COVID-19 vaccination in a minority population living in South Texas on the US-Mexico Border, to inform vaccination campaign strategies. We developed 4 rank-based approaches to evaluate the vaccination gap at the census tract level, which considered both population vulnerability and vaccination priority and eligibility. We identified areas with the highest vaccination gaps using different assessment approaches. Real-time geospatial analysis to identify vaccination gaps is critical to rapidly increase vaccination uptake, and to reach herd immunity in the vulnerable and the vaccine hesitant groups. Our results assisted the City of Brownsville Public Health Department in adjusting real-time targeting of vaccination, gathering coverage assessment, and deploying services to areas identified as high vaccination gap. The analyses and responses can be adopted in other locations. Nature Publishing Group UK 2021-09-13 /pmc/articles/PMC8437959/ /pubmed/34518570 http://dx.doi.org/10.1038/s41598-021-97416-y Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bauer, Cici
Zhang, Kehe
Lee, Miryoung
Jones, Michelle
Rodriguez, Arturo
de la Cerda, Isela
Reininger, Belinda
Fisher-Hoch, Susan P.
McCormick, Joseph B.
Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title_full Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title_fullStr Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title_full_unstemmed Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title_short Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
title_sort real-time geospatial analysis identifies gaps in covid-19 vaccination in a minority population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437959/
https://www.ncbi.nlm.nih.gov/pubmed/34518570
http://dx.doi.org/10.1038/s41598-021-97416-y
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