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COVID-19 vaccine distribution: exploring strategic alternatives for the greater good

The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effec...

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Autores principales: Asllani, Arben, Trimi, Silvana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244019/
http://dx.doi.org/10.1007/s11628-022-00497-6
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author Asllani, Arben
Trimi, Silvana
author_facet Asllani, Arben
Trimi, Silvana
author_sort Asllani, Arben
collection PubMed
description The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as a decision support tool for vaccine distribution plans and manage future pandemics.
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spelling pubmed-92440192022-06-30 COVID-19 vaccine distribution: exploring strategic alternatives for the greater good Asllani, Arben Trimi, Silvana Serv Bus Theoretical Article The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as a decision support tool for vaccine distribution plans and manage future pandemics. Springer Berlin Heidelberg 2022-06-25 2022 /pmc/articles/PMC9244019/ http://dx.doi.org/10.1007/s11628-022-00497-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Theoretical Article
Asllani, Arben
Trimi, Silvana
COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title_full COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title_fullStr COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title_full_unstemmed COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title_short COVID-19 vaccine distribution: exploring strategic alternatives for the greater good
title_sort covid-19 vaccine distribution: exploring strategic alternatives for the greater good
topic Theoretical Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244019/
http://dx.doi.org/10.1007/s11628-022-00497-6
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