AUTHOR=Xiao Yao , Xu Wanting , Zeng Shouzhen , Peng Qiao 

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

JOURNAL=Frontiers in Public Health

VOLUME=9

YEAR=2021

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.747239

DOI=10.3389/fpubh.2021.747239

ISSN=2296-2565

ABSTRACT=<p><bold>Background:</bold> 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.</p><p><bold>Method:</bold> 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.</p><p><bold>Results:</bold> 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.</p><p><bold>Conclusions:</bold> 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.</p>