现代信息科技2023，Vol.7Issue(23)：146-150,5.DOI:10.19850/j.cnki.2096-4706.2023.23.030
基于动态SEIR模型的小规模疫情预测
Prediction of Small-scale Epidemic Situation Based on Dynamic SEIR Model
摘要
Abstract
The prediction research of small-scale epidemic situation data based on dynamic SEIR model can provide an important reference for the living arrangements and work planning of all sectors of society.In the traditional SEIR model,the infection rate is constant,but in the case of COVID-19 transmission,the exposure rate changes with time,and then the prediction results are affected.At the same time,the existing large-scale epidemic situation data are greatly affected by external factors,and the traditional SEIR model cannot be fully applied to the epidemic situation prediction in complex situations.Therefore,a prediction method based on dynamic SEIR model is proposed.The exposure rate is calculated by logical function to predict small-scale epidemic situation data.The construction and research of this model has certain application value.关键词
动态SEIR模型/传染病模型/趋势分析Key words
dynamic SEIR model/infectious disease model/trend analysis分类
信息技术与安全科学引用本文复制引用
李瑞沂,王瑞,冯和棠,曹沛根,黄猛..基于动态SEIR模型的小规模疫情预测[J].现代信息科技,2023,7(23):146-150,5.基金项目
防灾科技学院2022大学生创新创业项目(202211775011) （202211775011）
