Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population.
COVID-19
/ immunology
COVID-19 Vaccines
/ administration & dosage
Geography
Hispanic or Latino
/ statistics & numerical data
Humans
Immunization Programs
/ methods
Mexico
/ ethnology
Minority Groups
/ statistics & numerical data
Minority Health
/ statistics & numerical data
SARS-CoV-2
/ immunology
Socioeconomic Factors
Texas
/ ethnology
Vaccination
/ methods
Vaccination Coverage
/ methods
Vulnerable Populations
/ ethnology
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
13 09 2021
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
18117Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR003167
Pays : United States
Informations de copyright
© 2021. The Author(s).
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