摘要
为了探究SIR模式对大数据的预测和分析效果,本文基于中国卫健委公布的全国传染病的数据,考虑多个因素对病毒的影响,建立了改进的微分方程组模型。模型引入政府管控力等多个参数,采用全国确诊病例、疑似病例等日度数据序列拟合模型参数,能够用于评估政府管控力度对传染病的影响。
In order to explore the prediction and analysis effect of SIR model on big data,this paper establishes an improved differential equation group model based on the national infectious disease data published by China Health Commission and considering the influence of multiple factors on virus.The model introduces several parameters such as government control power,and uses the daily data series of confirmed cases and suspected cases to fit the model parameters,which can be used to evaluate the impact of government control on infectious diseases.
作者
黄梅
Huang Mei(Changsha Normal University,Changsha Hunan 410100,China)
出处
《信息与电脑》
2020年第15期149-151,共3页
Information & Computer
基金
2019年湖南省教育厅科学研究项目(项目编号:19C0138)。
关键词
传染病
SIR模型
微分方程
infectious disease
the model SIR
differential equation
