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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
13 09 2021
Historique:
received: 28 04 2021
accepted: 25 08 2021
entrez: 14 9 2021
pubmed: 15 9 2021
medline: 28 9 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34518570
doi: 10.1038/s41598-021-97416-y
pii: 10.1038/s41598-021-97416-y
pmc: PMC8437959
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18117

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR003167
Pays : United States

Informations de copyright

© 2021. The Author(s).

Références

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Auteurs

Cici Bauer (C)

Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX, USA. cici.x.bauer@uth.tmc.edu.

Kehe Zhang (K)

Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX, USA.

Miryoung Lee (M)

Department of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at Houston, Brownsville, TX, USA.

Michelle Jones (M)

City of Brownsville Public Health and Wellness, Brownsville, TX, USA.

Arturo Rodriguez (A)

City of Brownsville Public Health and Wellness, Brownsville, TX, USA.

Isela de la Cerda (I)

Department of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at Houston, Brownsville, TX, USA.

Belinda Reininger (B)

Department of Health Promotion and Behavior Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Brownsville, TX, USA.

Susan P Fisher-Hoch (SP)

Department of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at Houston, Brownsville, TX, USA.

Joseph B McCormick (JB)

Department of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at Houston, Brownsville, TX, USA.

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