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The coevolution of the spread of a disease and competing opinions in multiplex networks
The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical distancing across various media platforms, which has had a significant impact on human behavior and the transmission dynamics of the disease. Inspired by this social phenomenon, we present a novel UAP-SIS model...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028538/ https://www.ncbi.nlm.nih.gov/pubmed/36969948 http://dx.doi.org/10.1016/j.chaos.2023.113376 |
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author | Fang, Fanshu Ma, Jing Li, Yanli |
author_facet | Fang, Fanshu Ma, Jing Li, Yanli |
author_sort | Fang, Fanshu |
collection | PubMed |
description | The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical distancing across various media platforms, which has had a significant impact on human behavior and the transmission dynamics of the disease. Inspired by this social phenomenon, we present a novel UAP-SIS model to study the interaction between conflicting opinions and epidemic spreading in multiplex networks, in which individual behavior is based on diverse opinions. We distinguish susceptibility and infectivity among individuals who are unaware, pro-physical distancing and anti-physical distancing, and we incorporate three kinds of mechanisms for generating individual awareness. The coupled dynamics are analyzed in terms of a microscopic Markov chain approach that encompasses the aforementioned elements. With this model, we derive the epidemic threshold which is related to the diffusion of competing opinions and their coupling configuration. Our findings demonstrate that the transmission of the disease is shaped in a significant manner by conflicting opinions, due to the complex interaction between such opinions and the disease itself. Furthermore, the implementation of awareness-generating mechanisms can help to mitigate the overall prevalence of the epidemic, and global awareness and self-awareness can be interchangeable in certain instances. To effectively curb the spread of epidemics, policymakers should take steps to regulate social media and promote physical distancing as the mainstream opinion. |
format | Online Article Text |
id | pubmed-10028538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100285382023-03-21 The coevolution of the spread of a disease and competing opinions in multiplex networks Fang, Fanshu Ma, Jing Li, Yanli Chaos Solitons Fractals Article The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical distancing across various media platforms, which has had a significant impact on human behavior and the transmission dynamics of the disease. Inspired by this social phenomenon, we present a novel UAP-SIS model to study the interaction between conflicting opinions and epidemic spreading in multiplex networks, in which individual behavior is based on diverse opinions. We distinguish susceptibility and infectivity among individuals who are unaware, pro-physical distancing and anti-physical distancing, and we incorporate three kinds of mechanisms for generating individual awareness. The coupled dynamics are analyzed in terms of a microscopic Markov chain approach that encompasses the aforementioned elements. With this model, we derive the epidemic threshold which is related to the diffusion of competing opinions and their coupling configuration. Our findings demonstrate that the transmission of the disease is shaped in a significant manner by conflicting opinions, due to the complex interaction between such opinions and the disease itself. Furthermore, the implementation of awareness-generating mechanisms can help to mitigate the overall prevalence of the epidemic, and global awareness and self-awareness can be interchangeable in certain instances. To effectively curb the spread of epidemics, policymakers should take steps to regulate social media and promote physical distancing as the mainstream opinion. Elsevier Ltd. 2023-05 2023-03-21 /pmc/articles/PMC10028538/ /pubmed/36969948 http://dx.doi.org/10.1016/j.chaos.2023.113376 Text en © 2023 Elsevier Ltd. 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 Fang, Fanshu Ma, Jing Li, Yanli The coevolution of the spread of a disease and competing opinions in multiplex networks |
title | The coevolution of the spread of a disease and competing opinions in multiplex networks |
title_full | The coevolution of the spread of a disease and competing opinions in multiplex networks |
title_fullStr | The coevolution of the spread of a disease and competing opinions in multiplex networks |
title_full_unstemmed | The coevolution of the spread of a disease and competing opinions in multiplex networks |
title_short | The coevolution of the spread of a disease and competing opinions in multiplex networks |
title_sort | coevolution of the spread of a disease and competing opinions in multiplex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028538/ https://www.ncbi.nlm.nih.gov/pubmed/36969948 http://dx.doi.org/10.1016/j.chaos.2023.113376 |
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