Related Experiment Video
Updated: Oct 20, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Real-time geospatial analysis identifies gaps in COVID-19 vaccination in a minority population
Cici Bauer1, Kehe Zhang2, Miryoung Lee3
1Department 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.
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.
Related Concept Videos
Bias in Epidemiological Studies
Levels of Use of a GIS
Manipulation and Analysis
Applications of GIS: Disaster Management and Emergency Response
Statistical Methods for Analyzing Epidemiological Data
Selected Data About Geographic Locations

