Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia

Masih Fadaki, Ahmad Abareshi, Shaghayegh Maleki Far and Paul Tae-Woo Lee

Transportation Research Part E: Logistics and Transportation Review, 2022, vol. 161, issue C

Abstract: While the swift development and production of a COVID-19 vaccine has been a remarkable success, it is equally crucial to ensure that the vaccine is allocated and distributed in a timely and efficient manner. Prior research on pandemic supply chain has not fully incorporated the underlying factors and constraints in designing a vaccine allocation model. This study proposes an innovative vaccine allocation model to contain the spread of infectious diseases incorporating key contributing factors to the risk of uninoculated people including susceptibility rate and exposure risk. Analyses of the data collected from the state of Victoria in Australia show that a vaccine allocation model can deliver a superior performance in minimizing the risk of unvaccinated people when a multi-period approach is employed and augmenting operational mechanisms including transshipment between medical centers, capacity sharing, and mobile units being integrated into the vaccine allocation model.

Keywords: Vaccine supply chain; Allocation models; Multi-period decision making; COVID-19 pandemic; Capacity sharing; Mobile units (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.tre.2022.102689

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