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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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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 |
_version_ | 1784859939692347392 |
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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. |
format | Online Article Text |
id | pubmed-9793961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
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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