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

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 an...

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Autores principales: Fadaki, Masih, Abareshi, Ahmad, Far, Shaghayegh Maleki, Lee, Paul Tae-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995313/
https://www.ncbi.nlm.nih.gov/pubmed/35431604
http://dx.doi.org/10.1016/j.tre.2022.102689
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author Fadaki, Masih
Abareshi, Ahmad
Far, Shaghayegh Maleki
Lee, Paul Tae-Woo
author_facet Fadaki, Masih
Abareshi, Ahmad
Far, Shaghayegh Maleki
Lee, Paul Tae-Woo
author_sort Fadaki, Masih
collection PubMed
description 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.
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spelling pubmed-89953132022-04-11 Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia Fadaki, Masih Abareshi, Ahmad Far, Shaghayegh Maleki Lee, Paul Tae-Woo Transp Res E Logist Transp Rev Article 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. Elsevier Ltd. 2022-05 2022-04-11 /pmc/articles/PMC8995313/ /pubmed/35431604 http://dx.doi.org/10.1016/j.tre.2022.102689 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Fadaki, Masih
Abareshi, Ahmad
Far, Shaghayegh Maleki
Lee, Paul Tae-Woo
Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title_full Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title_fullStr Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title_full_unstemmed Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title_short Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia
title_sort multi-period vaccine allocation model in a pandemic: a case study of covid-19 in australia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995313/
https://www.ncbi.nlm.nih.gov/pubmed/35431604
http://dx.doi.org/10.1016/j.tre.2022.102689
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