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An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand

This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollo...

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Autores principales: Jarumaneeroj, Pisit, Dusadeerungsikul, Puwadol Oak, Chotivanich, Tharin, Nopsopon, Tanawin, Pongpirul, Krit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865938/
https://www.ncbi.nlm.nih.gov/pubmed/35228772
http://dx.doi.org/10.1016/j.cie.2022.108031
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author Jarumaneeroj, Pisit
Dusadeerungsikul, Puwadol Oak
Chotivanich, Tharin
Nopsopon, Tanawin
Pongpirul, Krit
author_facet Jarumaneeroj, Pisit
Dusadeerungsikul, Puwadol Oak
Chotivanich, Tharin
Nopsopon, Tanawin
Pongpirul, Krit
author_sort Jarumaneeroj, Pisit
collection PubMed
description This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollout. In this framework, the SIQRV model is first developed and later combined with the COVID-19 Vaccine Allocation Problem (CVAP) to determine the optimal allocation/administration strategies that minimize total weighted strain on the whole healthcare system. According to Thailand’s second pandemic wave data (17(th) January 2021, to 15(th) February 2021), we find that the epicenter-based strategy is surprisingly the worst allocation strategy, due largely to the negligence of provincial demographics, vaccine efficacy, and overall transmission dynamics that lead to higher number of infectious individuals. We also find that early vaccination seems to significantly contribute to the reduction in the number of infectious individuals, whose effects tend to increase with more vaccine supply. With these insights, healthcare policy-makers should therefore focus not only on the procurement of COVID-19 vaccines at strategic levels but also on the allocation and administration of such vaccines at operational levels for the best of their limited vaccine supply.
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spelling pubmed-88659382022-02-24 An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand Jarumaneeroj, Pisit Dusadeerungsikul, Puwadol Oak Chotivanich, Tharin Nopsopon, Tanawin Pongpirul, Krit Comput Ind Eng Article This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollout. In this framework, the SIQRV model is first developed and later combined with the COVID-19 Vaccine Allocation Problem (CVAP) to determine the optimal allocation/administration strategies that minimize total weighted strain on the whole healthcare system. According to Thailand’s second pandemic wave data (17(th) January 2021, to 15(th) February 2021), we find that the epicenter-based strategy is surprisingly the worst allocation strategy, due largely to the negligence of provincial demographics, vaccine efficacy, and overall transmission dynamics that lead to higher number of infectious individuals. We also find that early vaccination seems to significantly contribute to the reduction in the number of infectious individuals, whose effects tend to increase with more vaccine supply. With these insights, healthcare policy-makers should therefore focus not only on the procurement of COVID-19 vaccines at strategic levels but also on the allocation and administration of such vaccines at operational levels for the best of their limited vaccine supply. Elsevier Ltd. 2022-05 2022-02-24 /pmc/articles/PMC8865938/ /pubmed/35228772 http://dx.doi.org/10.1016/j.cie.2022.108031 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
Jarumaneeroj, Pisit
Dusadeerungsikul, Puwadol Oak
Chotivanich, Tharin
Nopsopon, Tanawin
Pongpirul, Krit
An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title_full An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title_fullStr An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title_full_unstemmed An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title_short An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand
title_sort epidemiology-based model for the operational allocation of covid-19 vaccines: a case study of thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865938/
https://www.ncbi.nlm.nih.gov/pubmed/35228772
http://dx.doi.org/10.1016/j.cie.2022.108031
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