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Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic
The effectiveness of control measures against the diffusion of the COVID-19 pandemic is grounded on the assumption that people are prepared and disposed to cooperate. From a strategic decision point of view, cooperation is the unreachable strategy of the prisoner’s dilemma game, where the temptation...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603029/ http://dx.doi.org/10.1016/j.ifacol.2021.11.016 |
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author | Madeo, D. Mocenni, C. |
author_facet | Madeo, D. Mocenni, C. |
author_sort | Madeo, D. |
collection | PubMed |
description | The effectiveness of control measures against the diffusion of the COVID-19 pandemic is grounded on the assumption that people are prepared and disposed to cooperate. From a strategic decision point of view, cooperation is the unreachable strategy of the prisoner’s dilemma game, where the temptation to exploit the others and the fear to be betrayed by them drives the people behavior, which eventually results fully defective. In this work, we integrate the SIRS epidemic model with the replicator equation of evolutionary games in order to study the interplay between the infection spreading and the propensity of people to become cooperative under the pressure of the epidemic. We find that the developed model possesses several steady states, including fully or partially cooperative ones and that the presence of such states allows to take the disease under control. Moreover, assuming a seasonal variation of the infection rate, the system presents rich dynamics, including chaotic behavior and epidemic extinction. |
format | Online Article Text |
id | pubmed-8603029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86030292021-11-19 Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic Madeo, D. Mocenni, C. IFAC-PapersOnLine Article The effectiveness of control measures against the diffusion of the COVID-19 pandemic is grounded on the assumption that people are prepared and disposed to cooperate. From a strategic decision point of view, cooperation is the unreachable strategy of the prisoner’s dilemma game, where the temptation to exploit the others and the fear to be betrayed by them drives the people behavior, which eventually results fully defective. In this work, we integrate the SIRS epidemic model with the replicator equation of evolutionary games in order to study the interplay between the infection spreading and the propensity of people to become cooperative under the pressure of the epidemic. We find that the developed model possesses several steady states, including fully or partially cooperative ones and that the presence of such states allows to take the disease under control. Moreover, assuming a seasonal variation of the infection rate, the system presents rich dynamics, including chaotic behavior and epidemic extinction. , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2021 2021-11-19 /pmc/articles/PMC8603029/ http://dx.doi.org/10.1016/j.ifacol.2021.11.016 Text en © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 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 Madeo, D. Mocenni, C. Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title | Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title_full | Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title_fullStr | Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title_full_unstemmed | Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title_short | Evolutionary Game Theoretic Insights on the SIRS Model of the COVID-19 Pandemic |
title_sort | evolutionary game theoretic insights on the sirs model of the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603029/ http://dx.doi.org/10.1016/j.ifacol.2021.11.016 |
work_keys_str_mv | AT madeod evolutionarygametheoreticinsightsonthesirsmodelofthecovid19pandemic AT mocennic evolutionarygametheoreticinsightsonthesirsmodelofthecovid19pandemic |