COVID-19病毒防控多智能体仿真模型

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

新型冠状病毒(COVID-19)的防控是当前维护世界公共卫生安全的重点工作,据此提出运用多智能体建模仿真技术构建COVID-19病毒防控模型,以模拟在不同防控措施下的疫情动态发展趋势。以太原市为例,依据已发现的COVID-19病毒传播规律,制定各类居民智能体之间的交互传染与状态转换规则,实现了COVID-19病毒传播的防控决策仿真模型,在政府和医院的不同政策措施下进行了多情景仿真实验。实验结果表明多智能体建模方法可有效分析新型冠状病毒传播趋势,为城市疫情防控提供决策支持。

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.