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Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation
Public health events have done great harm. Emergency management requires the joint participation of multiple parties including government department, pharmaceutical enterprises, citizens and new media. Then, what are the effects of different strategy choices in participation of citizens and new medi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378273/ https://www.ncbi.nlm.nih.gov/pubmed/35992193 http://dx.doi.org/10.1007/s00500-022-07380-6 |
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author | Lu, Bingjie Zhu, Lilong |
author_facet | Lu, Bingjie Zhu, Lilong |
author_sort | Lu, Bingjie |
collection | PubMed |
description | Public health events have done great harm. Emergency management requires the joint participation of multiple parties including government department, pharmaceutical enterprises, citizens and new media. Then, what are the effects of different strategy choices in participation of citizens and new media on emergency management? To answer the question, we construct a four-party evolutionary game model, considering the citizens' two participation ways consisted of true evaluation and false evaluation, and the new media's two participation ways consisted of report after verification and report without verification. This is of more practical significance than simply studying whether citizens and new media participate in emergency management or not because citizen and new media participation does not represent the completely positive behavior. Then, we conduct the evolutionary stability analysis, solve the stable equilibrium points using the Lyapunov first method and conduct the simulation analysis with MATLAB 2020b. The results show that, firstly, the greater the probability of citizens making true evaluation, the more inclined the government department is to strictly implement the emergency management system; secondly, when the probability of citizens making true evaluation decreases, new media are more inclined to report after verification, and when new media lose more pageview value or should be punished more for reporting without verification, the probability that they report without verification is smaller; thirdly, the greater the probability of citizens making false evaluation, the less enthusiasm of pharmaceutical enterprises to participate in emergency management, which indicates that false evaluation is detrimental to prompt pharmaceutical enterprises to participate; what's more, the greater the probability of new media reporting after verification, the greater the probability of pharmaceutical enterprises actively participating, which shows that new media's verification to citizens' evaluation is beneficial to emergency management. |
format | Online Article Text |
id | pubmed-9378273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93782732022-08-16 Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation Lu, Bingjie Zhu, Lilong Soft comput Soft Computing in Decision Making and in Modeling in Economics Public health events have done great harm. Emergency management requires the joint participation of multiple parties including government department, pharmaceutical enterprises, citizens and new media. Then, what are the effects of different strategy choices in participation of citizens and new media on emergency management? To answer the question, we construct a four-party evolutionary game model, considering the citizens' two participation ways consisted of true evaluation and false evaluation, and the new media's two participation ways consisted of report after verification and report without verification. This is of more practical significance than simply studying whether citizens and new media participate in emergency management or not because citizen and new media participation does not represent the completely positive behavior. Then, we conduct the evolutionary stability analysis, solve the stable equilibrium points using the Lyapunov first method and conduct the simulation analysis with MATLAB 2020b. The results show that, firstly, the greater the probability of citizens making true evaluation, the more inclined the government department is to strictly implement the emergency management system; secondly, when the probability of citizens making true evaluation decreases, new media are more inclined to report after verification, and when new media lose more pageview value or should be punished more for reporting without verification, the probability that they report without verification is smaller; thirdly, the greater the probability of citizens making false evaluation, the less enthusiasm of pharmaceutical enterprises to participate in emergency management, which indicates that false evaluation is detrimental to prompt pharmaceutical enterprises to participate; what's more, the greater the probability of new media reporting after verification, the greater the probability of pharmaceutical enterprises actively participating, which shows that new media's verification to citizens' evaluation is beneficial to emergency management. Springer Berlin Heidelberg 2022-08-16 2022 /pmc/articles/PMC9378273/ /pubmed/35992193 http://dx.doi.org/10.1007/s00500-022-07380-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Soft Computing in Decision Making and in Modeling in Economics Lu, Bingjie Zhu, Lilong Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title | Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title_full | Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title_fullStr | Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title_full_unstemmed | Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title_short | Public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
title_sort | public health events emergency management supervision strategy considering citizens’ and new media’s different ways of participation |
topic | Soft Computing in Decision Making and in Modeling in Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378273/ https://www.ncbi.nlm.nih.gov/pubmed/35992193 http://dx.doi.org/10.1007/s00500-022-07380-6 |
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