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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8437959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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