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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.
  • 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.
  • 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.
  • 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.
  • Jones M; City of Brownsville Public Health and Wellness, Brownsville, TX, USA.
  • Rodriguez A; City of Brownsville Public Health and Wellness, Brownsville, TX, USA.
  • 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.
  • 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.
  • 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.
  • 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.
Sci Rep ; 11(1): 18117, 2021 09 13.
Article in English | MEDLINE | ID: covidwho-1406408
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Immunization Programs / Vaccination Coverage / COVID-19 Vaccines / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: Mexico Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-97416-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Immunization Programs / Vaccination Coverage / COVID-19 Vaccines / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: Mexico Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-97416-y