Related Experiment Video
Updated: Oct 11, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game
Yao Xiao1,2, Wanting Xu1,2, Shouzhen Zeng3
1Center for Innovation and Development Studies, Beijing Normal University, Zhuhai, China.
Abstract:
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.
More Related Videos
Related Concept Videos
Steps in Outbreak Investigation
Principles of Disease Surveillance
Causality in Epidemiology
Evolutionary Psychology
Introduction to Epidemiology
Viral Mutations

