Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model

Background: The sharing and utilization of online users' information has become an important resource for governments to manage COVID-19; however, it also involves the risk of leakage of users' personal information. Online users' sharing decisions regarding personal information and th...

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Autores principales:	Yao Xiao, Wanting Xu, Shouzhen Zeng, Qiao Peng
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	online users government information sharing privacy protection COVID-19 prevention and control Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/8529425dee294dfb9192f860f2add743
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spelling	oai:doaj.org-article:8529425dee294dfb9192f860f2add7432021-11-15T05:36:45ZOnline User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model2296-256510.3389/fpubh.2021.747239https://doaj.org/article/8529425dee294dfb9192f860f2add7432021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.747239/fullhttps://doaj.org/toc/2296-2565Background: The sharing and utilization of online users' information has become an important resource for governments to manage COVID-19; however, it also involves the risk of leakage of users' personal information. Online users' sharing decisions regarding personal information and the government's COVID-19 prevention and control decisions influence each other and jointly determine the efficiency of COVID-19 control and prevention.Method: Using the evolutionary game models, this paper examines the behavioral patterns of online users and governments with regard to the sharing and disclosure of COVID-19 information for its prevention and control.Results: This paper deduce the reasons and solutions underlying the contradiction between the privacy risks faced by online users in sharing information and COVID-19 prevention and control efforts. The inconsistency between individual and collective rationality is the root cause of the inefficiency of COVID-19 prevention and control.Conclusions: The reconciliation of privacy protection with COVID-19 prevention and control efficiency can be achieved by providing guidance and incentives to modulate internet users' behavioral expectations.Yao XiaoYao XiaoWanting XuWanting XuShouzhen ZengQiao PengFrontiers Media S.A.articleonline usersgovernmentinformation sharingprivacy protectionCOVID-19 prevention and controlPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	online users government information sharing privacy protection COVID-19 prevention and control Public aspects of medicine RA1-1270
spellingShingle	online users government information sharing privacy protection COVID-19 prevention and control Public aspects of medicine RA1-1270 Yao Xiao Yao Xiao Wanting Xu Wanting Xu Shouzhen Zeng Qiao Peng Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
description	Background: The sharing and utilization of online users' information has become an important resource for governments to manage COVID-19; however, it also involves the risk of leakage of users' personal information. Online users' sharing decisions regarding personal information and the government's COVID-19 prevention and control decisions influence each other and jointly determine the efficiency of COVID-19 control and prevention.Method: Using the evolutionary game models, this paper examines the behavioral patterns of online users and governments with regard to the sharing and disclosure of COVID-19 information for its prevention and control.Results: This paper deduce the reasons and solutions underlying the contradiction between the privacy risks faced by online users in sharing information and COVID-19 prevention and control efforts. The inconsistency between individual and collective rationality is the root cause of the inefficiency of COVID-19 prevention and control.Conclusions: The reconciliation of privacy protection with COVID-19 prevention and control efficiency can be achieved by providing guidance and incentives to modulate internet users' behavioral expectations.
format	article
author	Yao Xiao Yao Xiao Wanting Xu Wanting Xu Shouzhen Zeng Qiao Peng
author_facet	Yao Xiao Yao Xiao Wanting Xu Wanting Xu Shouzhen Zeng Qiao Peng
author_sort	Yao Xiao
title	Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
title_short	Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
title_full	Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
title_fullStr	Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
title_full_unstemmed	Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model
title_sort	online user information sharing and government pandemic prevention and control strategies-based on evolutionary game model
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/8529425dee294dfb9192f860f2add743
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_version_	1718428563609223168

Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model

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