{"title":"COVID-19 Spread Prediction Model","authors":"Tong Zhou, Yunxin Zhang","doi":"10.1145/3448734.3450846","DOIUrl":null,"url":null,"abstract":"In order to improve the status quo and improve people's awareness of new crown outbreak, quantitatively studied the spread of infectious diseases COVID-19, create conditions for forecast and control the spread of infectious diseases, we according to the general law of propagation, using the mechanism analysis method to establish model, the problem of propagation of Wuhan, Shanghai and Beijing to build mathematical model, such as SIS and SIR, to describe the process of the spread of infectious disease analysis, the change rule of the number of infected forecast time of infectious disease come, to prevent the spread of infectious diseases.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Computing and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448734.3450846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to improve the status quo and improve people's awareness of new crown outbreak, quantitatively studied the spread of infectious diseases COVID-19, create conditions for forecast and control the spread of infectious diseases, we according to the general law of propagation, using the mechanism analysis method to establish model, the problem of propagation of Wuhan, Shanghai and Beijing to build mathematical model, such as SIS and SIR, to describe the process of the spread of infectious disease analysis, the change rule of the number of infected forecast time of infectious disease come, to prevent the spread of infectious diseases.