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首页> 外文会议>2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability >Modeling and Simulation of Infectious Propagation Based on Cellular Automata
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Modeling and Simulation of Infectious Propagation Based on Cellular Automata

机译：基于元胞自动机的传染性传播建模与仿真

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摘要

Based on cellular automaton, combine compartment model, proposed SEIDRS model that can reflect the actual propagation process of infectious diseases. This model combined with factors such as population density, sexual proportion and age structure, rules the evolution rules of the model. Using Matlab to simulate the model, the simulation results show that the larger population density, the infectious disease propagation faster; There are differences in some aspects in sexual proportion, sexual have larger number and high impact factor, make more obvious effects on the spread of infectious diseases; There are differences in age structure, the city have more aged and light people have lower defense capability to infectious diseases, the appropriate age distribution play a more active role to resist the spread of infectious diseases.
机译：基于细胞自动机，结合隔室模型，提出了能反映传染病实际传播过程的SEIDRS模型。该模型结合人口密度，性别比例和年龄结构等因素，决定了模型的演化规则。用Matlab对模型进行仿真，仿真结果表明，人口密度越大，传染病的传播速度越快；性比例在某些方面存在差异，性的数量较多且影响因子较高，对传染病的传播效果更明显；年龄结构存在差异，城市老年人口多，轻度人群对传染病的防御能力较低，适当的年龄分布在抵抗传染病传播方面发挥了更加积极的作用。

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