Spatial Optimization to Improve COVID-19 Vaccine Allocation

Overview

Journal Vaccines (Basel)

Date 2023 Jan 21

PMID 36679909

Authors

Stephen Scroggins

Justin Goodson

Tasnova Afroze

Enbal Shacham

Affiliations

Soon will be listed here.

Abstract

Early distribution of COVID-19 vaccines was largely driven by population size and did not account for COVID-19 prevalence nor location characteristics. In this study, we applied an optimization framework to identify distribution strategies that would have lowered COVID-19 related morbidity and mortality. During the first half of 2021 in the state of Missouri, optimized vaccine allocation would have decreased case incidence by 8% with 5926 fewer COVID-19 cases, 106 fewer deaths, and 4.5 million dollars in healthcare cost saved. As COVID-19 variants continue to be identified, and the likelihood of future pandemics remains high, application of resource optimization should be a priority for policy makers.

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