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A coalitional game-based joint monitoring mechanism for combating COVID-19

In the absence of effective treatment for COVID-19, disease prevention and control have become a top priority across the world. However, the general lack of effective cooperation between communities makes it difficult to suppress the community spread of the global pandemic; hence repeated outbreaks...

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Detalles Bibliográficos
Autores principales: Huang, Da-Wen, Liu, Bing, Bi, Jichao, Wang, Jingpei, Wang, Mengzhi, Wang, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793961/
https://www.ncbi.nlm.nih.gov/pubmed/36589785
http://dx.doi.org/10.1016/j.comcom.2022.12.020
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author Huang, Da-Wen
Liu, Bing
Bi, Jichao
Wang, Jingpei
Wang, Mengzhi
Wang, Huan
author_facet Huang, Da-Wen
Liu, Bing
Bi, Jichao
Wang, Jingpei
Wang, Mengzhi
Wang, Huan
author_sort Huang, Da-Wen
collection PubMed
description In the absence of effective treatment for COVID-19, disease prevention and control have become a top priority across the world. However, the general lack of effective cooperation between communities makes it difficult to suppress the community spread of the global pandemic; hence repeated outbreaks of COVID-19 have become the norm. To address this problem, this paper considers community cooperation in disease monitoring and designs a joint epidemic monitoring mechanism, in which adjacent communities cooperate to enhance their monitoring capability. In this work, we formulate the epidemiological monitoring process as a coalitional game. Then, we propose a Shapley value-based payoffs distribution scheme for the coalitional game. A comprehensive analytical framework is developed to evaluate the advantages and sustainability of the cooperation between communities. Experimental results show that the proposed mechanism performs much better than the conventional non-cooperative monitoring design and can greatly increase each community’s payoffs.
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spelling pubmed-97939612022-12-27 A coalitional game-based joint monitoring mechanism for combating COVID-19 Huang, Da-Wen Liu, Bing Bi, Jichao Wang, Jingpei Wang, Mengzhi Wang, Huan Comput Commun Article In the absence of effective treatment for COVID-19, disease prevention and control have become a top priority across the world. However, the general lack of effective cooperation between communities makes it difficult to suppress the community spread of the global pandemic; hence repeated outbreaks of COVID-19 have become the norm. To address this problem, this paper considers community cooperation in disease monitoring and designs a joint epidemic monitoring mechanism, in which adjacent communities cooperate to enhance their monitoring capability. In this work, we formulate the epidemiological monitoring process as a coalitional game. Then, we propose a Shapley value-based payoffs distribution scheme for the coalitional game. A comprehensive analytical framework is developed to evaluate the advantages and sustainability of the cooperation between communities. Experimental results show that the proposed mechanism performs much better than the conventional non-cooperative monitoring design and can greatly increase each community’s payoffs. Elsevier B.V. 2023-02-01 2022-12-27 /pmc/articles/PMC9793961/ /pubmed/36589785 http://dx.doi.org/10.1016/j.comcom.2022.12.020 Text en © 2022 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
Huang, Da-Wen
Liu, Bing
Bi, Jichao
Wang, Jingpei
Wang, Mengzhi
Wang, Huan
A coalitional game-based joint monitoring mechanism for combating COVID-19
title A coalitional game-based joint monitoring mechanism for combating COVID-19
title_full A coalitional game-based joint monitoring mechanism for combating COVID-19
title_fullStr A coalitional game-based joint monitoring mechanism for combating COVID-19
title_full_unstemmed A coalitional game-based joint monitoring mechanism for combating COVID-19
title_short A coalitional game-based joint monitoring mechanism for combating COVID-19
title_sort coalitional game-based joint monitoring mechanism for combating covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793961/
https://www.ncbi.nlm.nih.gov/pubmed/36589785
http://dx.doi.org/10.1016/j.comcom.2022.12.020
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