The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System

Although the ability to manage public health emergencies in China has improved significantly, there are still many challenges to the existing information transmission mechanism in pandemic early warning systems. In this context, a tripartite evolutionary game model composed of the local government,...

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Main Authors: Feng Cao, Ling Zhang, Yihan Wu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/5796428
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author Feng Cao
Ling Zhang
Yihan Wu
author_facet Feng Cao
Ling Zhang
Yihan Wu
author_sort Feng Cao
collection DOAJ
description Although the ability to manage public health emergencies in China has improved significantly, there are still many challenges to the existing information transmission mechanism in pandemic early warning systems. In this context, a tripartite evolutionary game model composed of the local government, the whistleblower, and the public is formulated. By using Matlab, the dynamic evolution path of the game model is stimulated under different conditions. Stable strategies for an early warning system for public health emergencies are also explored. The results indicate that the cost of whistleblowing, the cost of response, and the benefit of attention significantly influence strategic decisions among three parties. This study highlights the importance of whistleblowing in managing public health emergencies. Yet, our findings provide theoretical support for policy recommendations for promoting public health emergency preparedness.
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publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-4492d75edc2042d7ae22eecf3728fc3d2025-08-20T02:37:48ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/5796428The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning SystemFeng Cao0Ling Zhang1Yihan Wu2School of Economics and ManagementSchool of Economics and ManagementSchool of Social DevelopmentAlthough the ability to manage public health emergencies in China has improved significantly, there are still many challenges to the existing information transmission mechanism in pandemic early warning systems. In this context, a tripartite evolutionary game model composed of the local government, the whistleblower, and the public is formulated. By using Matlab, the dynamic evolution path of the game model is stimulated under different conditions. Stable strategies for an early warning system for public health emergencies are also explored. The results indicate that the cost of whistleblowing, the cost of response, and the benefit of attention significantly influence strategic decisions among three parties. This study highlights the importance of whistleblowing in managing public health emergencies. Yet, our findings provide theoretical support for policy recommendations for promoting public health emergency preparedness.http://dx.doi.org/10.1155/2022/5796428
spellingShingle Feng Cao
Ling Zhang
Yihan Wu
The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
Discrete Dynamics in Nature and Society
title The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
title_full The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
title_fullStr The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
title_full_unstemmed The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
title_short The Whistleblower’s Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System
title_sort whistleblower s dilemma an evolutionary game analysis of the public health early warning system
url http://dx.doi.org/10.1155/2022/5796428
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