Journal of System Simulation ›› 2020, Vol. 32 ›› Issue (11): 2244-2257.doi: 10.16182/j.issn1004731x.joss.20-0312

Previous Articles     Next Articles

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

Pan Lihu, Qin Shipeng, Li Xiaowen, Lu Feiping, Yang Fenyu   

  1. College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China
  • Received:2020-06-07 Revised:2020-08-16 Online:2020-11-18 Published:2020-11-17

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.

Key words: new coronavirus transmission, urban epidemic prevention and control, multi-agent modeling, public health safety, virus prevention and control strategy

CLC Number: