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Spatial Optimization to Improve COVID-19 Vaccine Allocation

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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… Click to show full 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. Optimized vaccine allocation would have decreased case incidence by 8% with 5,926 fewer COVID-19 cases, 106 fewer deaths, and 4.5 million dollars in healthcare cost saved during the first half of 2021. 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.

Keywords: vaccine allocation; covid; optimization improve; spatial optimization; optimization

Journal Title: Vaccines
Year Published: 2022

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