Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 51-57.doi: 10.11959/j.issn.2096-6652.202308

• Papers and Reports • Previous Articles     Next Articles

Research on the spread and countermeasures of COVID-19 using agent-based modeling

Fengtao XIANG, Jiongming SU, Xueqiang Gu, Wanpeng ZHANG   

  1. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Revised:2023-02-17 Online:2023-03-15 Published:2023-03-01
  • Contact: 项凤涛,xiangfengtao@nudt.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(61603403);The National Natural Science Foundation of China(U1734208);The Natural Science Foundation of Hunan Province(2021JJ40693)

Abstract:

Aiming at the problems related to the spread and prevention and control of COVID-19, the COVID-19 epidemic was studied based on agent based modeling thought.Firstly, based on the COVID-19 transmission mechanism, a mathematical model was established on the NetLogo platform to simulate the real process of epidemic spread.Secondly, the impacts of different factors (such as epidemic prevention and control measures, population migration patterns, COVID-19 incubation period, cure period and mortality) were analyzed and evaluated on the spread of the epidemic, so as to understand the core factors affecting the epidemic situation.Then, the internal law of the epidemic spread was analyzed and summarized.

Key words: agent-based modeling, COVID-19, prevention and control measures, factor evaluation

CLC Number: 

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