A Numerical Simulation Perspective on the Evolution and Governance of Information Epidemics
In the post-epidemic era,the normalised coexistence of humans and Covid-19 makes the management of information epidemics(infodemics)non-negligible.As a top-level design,digital health interventions can effectively enhance the prevention and control of information epidemics.Based on the improvement for the missing infodemic intervention components,the article builds a UEIR information epidemic evolution model,and uses Netlogo to perform dynamic simulation on the scale-free network to analyze the effects of awareness,infection,initial immunity,acquired immunity,and reinfection rates at different values.The study reveals the macroscopic law of information epidemic evolution and finds that the adoption of systematic intervention measures can reduce the impact of information epidemics,providing a scientific basis to complement the top-level design of digital health interventions to guide the prevention and control of information epidemics.
information epidemic(infodemic)digital health interventionnumerical simulationUEIR progressing model
NETL
NSTL
万方数据
