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 existing information transmission mechanism pandemic early warning systems. In this context, a tripartite evolutionary game model composed of local government, whistleblower, and is formulated. By using Matlab, dynamic evolution path stimulated under different conditions. Stable strategies for an system also explored. The results indicate that cost whistleblowing, response, benefit attention significantly influence strategic decisions among three parties. This study highlights importance whistleblowing managing emergencies. Yet, our findings provide theoretical support policy recommendations promoting emergency preparedness.