Multi-agent Simulation Model for COVID-19 Virus Prevention and Control

Abstract

The prevention and control of the novel coronavirus (COVID-19) is the priority work to maintain the public health security of the world nowadays The COVID-19 prevention and control model using multi-agent modeling and simulation technology is proposed The model can simulate the different dynamic development trend of the epidemic under different prevention and control measures Taking Taiyuan as an example, according to the researched COVID-19 transmission rules, the prevention and control simulation of COVID-19 has been achieved under the designing rule of the interactive infection process and status transition process between various resident agents Multi-scenario simulation experiments are realized under different policy measures of hospital and government The experimental results show that the multi-agent modeling method is effective in analyzing the spread of COVID-19 and can provide decision support for city epidemic prevention and control © 2020, The Editorial Board of Journal of System Simulation All right reserved