An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines

The global scientific community has been successful in their efforts to develop, test, and commercialize vaccines for COVID-19. However, the limited supply of these vaccines remains to be a widespread problem as different nations have started their respective vaccine rollouts. Policymakers continue...

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Autores principales:	Charlle L. Sy, Kathleen B. Aviso, John Frederick D. Tapia, Ador R. Torneo, Anthony S.F. Chiu, Raymond R. Tan
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/32044bf87ef8401a8d0fc97fc40ca529
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spelling	oai:doaj.org-article:32044bf87ef8401a8d0fc97fc40ca5292021-11-15T21:49:05ZAn Operations Research-Based Approach to the Allocation of COVID-19 Vaccines10.3303/CET21880132283-9216https://doaj.org/article/32044bf87ef8401a8d0fc97fc40ca5292021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11806https://doaj.org/toc/2283-9216The global scientific community has been successful in their efforts to develop, test, and commercialize vaccines for COVID-19. However, the limited supply of these vaccines remains to be a widespread problem as different nations have started their respective vaccine rollouts. Policymakers continue to deal with the difficult task of determining how to allocate them. This research work will present how the use of mathematical models can provide valuable decision support under such conditions. Both a linear programming model and a nonlinear programming model have been developed to determine the optimal allocation of COVID-19 vaccines that minimize fatalities and COVID-19 transmission, respectively. These scenarios have to be dealt with when not enough vaccines are available, and the pandemic is still in progress. The model is capable of handling large scale allocation problems such as those intended for the general population of a country. It could also be scaled down for organizations such as private companies or universities. The model also considers multiple vaccines with different levels of efficacy. The distribution of vaccines reduces transmission and relative infectiousness of individuals across different age groups. A hypothetical case study is solved to illustrate the computational capability of the models. The results indicate that priority should be given to the elderly when fatalities are minimized. In contrast, the younger population should then be prioritized when the objective shifts to suppressing contagion.Charlle L. SyKathleen B. AvisoJohn Frederick D. TapiaAdor R. TorneoAnthony S.F. ChiuRaymond R. TanAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Charlle L. Sy Kathleen B. Aviso John Frederick D. Tapia Ador R. Torneo Anthony S.F. Chiu Raymond R. Tan An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
description	The global scientific community has been successful in their efforts to develop, test, and commercialize vaccines for COVID-19. However, the limited supply of these vaccines remains to be a widespread problem as different nations have started their respective vaccine rollouts. Policymakers continue to deal with the difficult task of determining how to allocate them. This research work will present how the use of mathematical models can provide valuable decision support under such conditions. Both a linear programming model and a nonlinear programming model have been developed to determine the optimal allocation of COVID-19 vaccines that minimize fatalities and COVID-19 transmission, respectively. These scenarios have to be dealt with when not enough vaccines are available, and the pandemic is still in progress. The model is capable of handling large scale allocation problems such as those intended for the general population of a country. It could also be scaled down for organizations such as private companies or universities. The model also considers multiple vaccines with different levels of efficacy. The distribution of vaccines reduces transmission and relative infectiousness of individuals across different age groups. A hypothetical case study is solved to illustrate the computational capability of the models. The results indicate that priority should be given to the elderly when fatalities are minimized. In contrast, the younger population should then be prioritized when the objective shifts to suppressing contagion.
format	article
author	Charlle L. Sy Kathleen B. Aviso John Frederick D. Tapia Ador R. Torneo Anthony S.F. Chiu Raymond R. Tan
author_facet	Charlle L. Sy Kathleen B. Aviso John Frederick D. Tapia Ador R. Torneo Anthony S.F. Chiu Raymond R. Tan
author_sort	Charlle L. Sy
title	An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
title_short	An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
title_full	An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
title_fullStr	An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
title_full_unstemmed	An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines
title_sort	operations research-based approach to the allocation of covid-19 vaccines
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/32044bf87ef8401a8d0fc97fc40ca529
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An Operations Research-Based Approach to the Allocation of COVID-19 Vaccines

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