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

Authors

Lihu Pan, College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China;
Shipeng Qin, College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China;
Xiaowen Li, College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China;
Feiping Lu, College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China;
Fenyu Yang, College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China;

Abstract

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.

Recommended Citation

Pan, Lihu; Qin, Shipeng; Li, Xiaowen; Lu, Feiping; and Yang, Fenyu (2020) "Multi-agent Simulation Model for COVID-19 Virus Prevention and Control," Journal of System Simulation: Vol. 32: Iss. 11, Article 21.
DOI: 10.16182/j.issn1004731x.joss.20-0312
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss11/21

First Page

2244

Revised Date

2020-08-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0312

Last Page

2257

CLC

TP391.9

Recommended Citation

Pan Lihu, Qin Shipeng, Li Xiaowen, Lu Feiping, Yang Fenyu. Multi-agent Simulation Model for COVID-19 Virus Prevention and Control[J]. Journal of System Simulation, 2020, 32(11): 2244-2257.

DOI

10.16182/j.issn1004731x.joss.20-0312