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A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic

In this paper, we construct the first stochastic Generalized Nash Equilibrium model for the study of competition among countries for limited supplies of medical items (PPEs, ventilators, etc.) in the disaster preparedness and response phases in the Covid-19 pandemic. The government of each country i...

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Detalles Bibliográficos
Autores principales: Salarpour, Mojtaba, Nagurney, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122348/
https://www.ncbi.nlm.nih.gov/pubmed/35615460
http://dx.doi.org/10.1016/j.ijpe.2021.108074
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author Salarpour, Mojtaba
Nagurney, Anna
author_facet Salarpour, Mojtaba
Nagurney, Anna
author_sort Salarpour, Mojtaba
collection PubMed
description In this paper, we construct the first stochastic Generalized Nash Equilibrium model for the study of competition among countries for limited supplies of medical items (PPEs, ventilators, etc.) in the disaster preparedness and response phases in the Covid-19 pandemic. The government of each country is faced with a two-stage stochastic optimization problem in which the first stage is prior to the pandemic declaration and the second stage is post the pandemic declaration. We provide the theoretical constructs, a qualitative analysis, and an algorithm, accompanied by convergence results. Both illustrative examples are presented as well as algorithmically solved numerical examples, inspired by the need for N95 masks and ventilators. The results reveal that, in addition to the preparedness of countries before the pandemic declaration, their ability to adapt to the conditions in different scenarios has a significant impact on their overall success in the management of the pandemic crisis. The framework can capture competition for other medical supplies, including Covid-19 vaccines and possible treatments, with modifications to handle perishability.
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spelling pubmed-91223482022-05-21 A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic Salarpour, Mojtaba Nagurney, Anna Int J Prod Econ Article In this paper, we construct the first stochastic Generalized Nash Equilibrium model for the study of competition among countries for limited supplies of medical items (PPEs, ventilators, etc.) in the disaster preparedness and response phases in the Covid-19 pandemic. The government of each country is faced with a two-stage stochastic optimization problem in which the first stage is prior to the pandemic declaration and the second stage is post the pandemic declaration. We provide the theoretical constructs, a qualitative analysis, and an algorithm, accompanied by convergence results. Both illustrative examples are presented as well as algorithmically solved numerical examples, inspired by the need for N95 masks and ventilators. The results reveal that, in addition to the preparedness of countries before the pandemic declaration, their ability to adapt to the conditions in different scenarios has a significant impact on their overall success in the management of the pandemic crisis. The framework can capture competition for other medical supplies, including Covid-19 vaccines and possible treatments, with modifications to handle perishability. Elsevier B.V. 2021-06 2021-02-27 /pmc/articles/PMC9122348/ /pubmed/35615460 http://dx.doi.org/10.1016/j.ijpe.2021.108074 Text en © 2021 Elsevier B.V. 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
Salarpour, Mojtaba
Nagurney, Anna
A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title_full A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title_fullStr A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title_full_unstemmed A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title_short A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic
title_sort multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122348/
https://www.ncbi.nlm.nih.gov/pubmed/35615460
http://dx.doi.org/10.1016/j.ijpe.2021.108074
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