Belief-Behavior-Disease Dynamics on Multilayer Networks
This project aims to establish a Belief-Behavior-Disease spread dynamics model based on multilayer networks, and use simulation and other techniques to conduct quantitative and visual research on the model. This project can better understand and predict the patterns and rules of virus spread, analyze the impact of different interventions on the spread effect under different scenarios, and provide scientific basis for public health departments to formulate reasonable and effective prevention and control strategies. This project has strong theoretical innovation and practical application value, and is an innovative training project that is beneficial to social welfare and human health.