摘要
2019年突如其来的新冠肺炎疫情(COVID-19)席卷全球,利用Matlab建立SEIR模型、二次指数平滑模型对部分典型国家的确诊病例数量、国内生产总值(GDP)进行预测,考虑对待新冠肺炎疫情的防控策略,采用模糊评价模型对新增确诊人数进行预测与分析。
In 2019, the sudden new crown pneumonia epidemic (COVID-19) swept the world. This paper uses Matlab to establish an SEIR model and a quadratic exponential smoothing model to predict the number of confirmed cases and gross domestic product (GDP) in some typical countries, and con-siders the prevention and control strategy of the COVID-19 epidemic. The fuzzy evaluation model is used to forecast and analyze the number of newly confirmed cases.
出处
《建模与仿真》
2021年第1期200-210,共11页
Modeling and Simulation
