Assessing Registration and Screening Technologies for Efficient Mass Vaccination and Public Health Monitoring

Eva Lee, Eva Lee, Eva Lee, Kevin Yifan Liu, Kevin Yifan Liu

2025

Abstract

Vaccine data collection during mass vaccination campaigns is a difficult task due to the lack of a unified system; yet, accurate and timely documentation is essential for monitoring efficacy and adverse effects. In this study, we evaluate five electronic registration and screening technologies to test for how quickly immunizations could be delivered and recorded given the different physical and cyber requirements of the different technologies. Using time−motion studies and service data analysis from influenza vaccination campaigns, we demonstrate operations and tracking efficiency with throughput improvements of 16% to 45%. Based on these findings, we propose a prototypical unified system for dispensing, monitoring, and assessment that is interoperable with existing immunization and electronic medical record systems. This paper highlights the potential of electronic technologies to significantly enhance processes in vaccine administration and data management. With the resource-constrained public health setting, the design emphasizes on minimally-enhanced technology requirements to achieve seamless data and process management and improved operations efficiencies. The system is flexible, scalable, and adaptable for different types of medical countermeasures.

Paper Citation

in Harvard Style

Lee E. and Liu K. (2025). Assessing Registration and Screening Technologies for Efficient Mass Vaccination and Public Health Monitoring. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 156-170. DOI: 10.5220/0013571100003967

in Bibtex Style

@conference{data25,
author={Eva Lee and Kevin Liu},
title={Assessing Registration and Screening Technologies for Efficient Mass Vaccination and Public Health Monitoring},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={156-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013571100003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Assessing Registration and Screening Technologies for Efficient Mass Vaccination and Public Health Monitoring
SN - 978-989-758-758-0
AU - Lee E.
AU - Liu K.
PY - 2025
SP - 156
EP - 170
DO - 10.5220/0013571100003967
PB - SciTePress