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

Abstract 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 ge...

Full description

Bibliographic Details
Main Authors: Cici Bauer, Kehe Zhang, Miryoung Lee, Michelle Jones, Arturo Rodriguez, Isela de la Cerda, Belinda Reininger, Susan P. Fisher-Hoch, Joseph B. McCormick
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-97416-y
id doaj-fde5427d02954e91a9cf0665a1a39ce7
record_format Article
spelling doaj-fde5427d02954e91a9cf0665a1a39ce72021-09-19T11:29:30ZengNature Publishing GroupScientific Reports2045-23222021-09-011111610.1038/s41598-021-97416-yReal-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority populationCici Bauer0Kehe Zhang1Miryoung Lee2Michelle Jones3Arturo Rodriguez4Isela de la Cerda5Belinda Reininger6Susan P. Fisher-Hoch7Joseph B. McCormick8Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at HoustonDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at HoustonDepartment of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at HoustonCity of Brownsville Public Health and WellnessCity of Brownsville Public Health and WellnessDepartment of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at HoustonDepartment of Health Promotion and Behavior Sciences, School of Public Health, The University of Texas Health Science Center at HoustonDepartment of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at HoustonDepartment of Epidemiology, Human Genetics and Environmental Science, School of Public Health, The University of Texas Health Science Center at HoustonAbstract 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.https://doi.org/10.1038/s41598-021-97416-y
collection DOAJ
language English
format Article
sources DOAJ
author Cici Bauer
Kehe Zhang
Miryoung Lee
Michelle Jones
Arturo Rodriguez
Isela de la Cerda
Belinda Reininger
Susan P. Fisher-Hoch
Joseph B. McCormick
spellingShingle Cici Bauer
Kehe Zhang
Miryoung Lee
Michelle Jones
Arturo Rodriguez
Isela de la Cerda
Belinda Reininger
Susan P. Fisher-Hoch
Joseph B. McCormick
Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
Scientific Reports
author_facet Cici Bauer
Kehe Zhang
Miryoung Lee
Michelle Jones
Arturo Rodriguez
Isela de la Cerda
Belinda Reininger
Susan P. Fisher-Hoch
Joseph B. McCormick
author_sort Cici Bauer
title 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_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_sort real-time geospatial analysis identifies gaps in covid-19 vaccination in a minority population
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-09-01
description Abstract 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.
url https://doi.org/10.1038/s41598-021-97416-y
work_keys_str_mv AT cicibauer realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT kehezhang realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT miryounglee realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT michellejones realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT arturorodriguez realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT iseladelacerda realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT belindareininger realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT susanpfisherhoch realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
AT josephbmccormick realtimegeospatialanalysisidentifiesgapsincovid19vaccinationinaminoritypopulation
_version_ 1717375829323808768