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[ "项凤涛(1986- ),男,博士,国防科技大学智能科学学院副教授,主要研究方向为智能辅助决策、不确定性推理、模式识别、机器学习" ]
[ "苏炯铭(1984- ),男,博士,国防科技大学智能科学学院副研究员,主要研究方向为可解释人工智能、智能博弈" ]
[ "谷学强(1983- ),男,博士,国防科技大学智能科学学院副研究员,主要研究方向为智能规划与决策、智能控制" ]
[ "张万鹏(1981- ),男,博士,国防科技大学智能科学学院研究员,主要研究方向为智能决策、任务规划、自动化和控制、人机协同" ]
网络出版日期:2023-03,
纸质出版日期:2023-03-15
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项凤涛, 苏炯铭, 谷学强, 等. 基于智能体建模的新冠肺炎疫情传播问题研究[J]. 智能科学与技术学报, 2023,5(1):51-57.
Fengtao XIANG, Jiongming SU, Xueqiang Gu, et al. Research on the spread and countermeasures of COVID-19 using agent-based modeling[J]. Chinese journal of intelligent science and technology, 2023, 5(1): 51-57.
项凤涛, 苏炯铭, 谷学强, 等. 基于智能体建模的新冠肺炎疫情传播问题研究[J]. 智能科学与技术学报, 2023,5(1):51-57. DOI: 10.11959/j.issn.2096-6652.202308.
Fengtao XIANG, Jiongming SU, Xueqiang Gu, et al. Research on the spread and countermeasures of COVID-19 using agent-based modeling[J]. Chinese journal of intelligent science and technology, 2023, 5(1): 51-57. DOI: 10.11959/j.issn.2096-6652.202308.
针对新型冠状病毒肺炎(COVID-19)疫情传播及防控相关问题,基于智能体建模思想对 COVID-19 疫情进行研究。首先基于COVID-19传播机理在NetLogo平台建立数学模型,模拟疫情传播的真实过程;其次分析评估不同因素(如疫情防控措施,人群走动方式,COVID-19 潜伏期、治愈期和死亡率等)对疫情传播的影响,以了解影响疫情态势的核心因素;进而分析和总结疫情传播的内在规律。
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.
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王建伟 , 崔秩玮 , 潘潇雄 , 等 . 基于广义SEIR模型的新冠肺炎传播机制及干预效果仿真 [J ] . 科技导报 , 2020 , 38 ( 22 ): 130 - 138 .
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