基于演化博弈的传染病疫苗接种控制策略研究

Study on the control strategy of infectious disease vaccination based on evolutionary game

为有效抑制传染病的传播,采用演化博弈理论研究复杂网络中初始疫苗接种免疫节点对传染病传播和个体疫苗接种策略学习的影响。在三个无权无向的网络中,利用5种初始免疫节点选择方法进行了SIR传染病模型传播和博弈策略学习的实验仿真。实验结果表明,在接种疫苗费用相同的情况下,有策略的选择初始免疫节点不仅促进网络中个体疫苗接种策略的学习,而且对传染病的传播速度和扩散规模都有一定抑制作用。

In order to effectively inhibit the spread of infectious diseases, the influence of initial vaccination nodes on the spreading of diseases and individual vaccination strategy in complex networks is studied by evolutionary game theory. Five initial immune node selection methods are used to simulate SIR epidemic model propagation and game strategy learning in three weightless and undirected networks. Experimental results show that under the same vaccination cost, the strategic choice of initial immune nodes not only promotes the learning of individual vaccination strategies in the network, but also has a certain inhibition on the spread speed and scale of infectious diseases.