{"title":"2019年根治冠状病毒病的COVID-19 SIR动态预测模型","authors":"Min Wang, Peng Wang, Suqin Wu, Chong Sun","doi":"10.12783/dtcse/cisnr2020/35164","DOIUrl":null,"url":null,"abstract":"This paper has established the COVID-19 SIR Dynamical Prediction Model. First, the official data is devoted to fit and simulate the spread of the epidemic, and the spread of speed of some countries. Then, in the next period of time the number of infected persons and several numerical trends are predicted. Finally, the error of the population infected is calculated and the result is 7.09%. It proposed the solution to solve practical problems.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The COVID-19 SIR Dynamical Prediction Model for Eradicating Corona Virus Disease 2019\",\"authors\":\"Min Wang, Peng Wang, Suqin Wu, Chong Sun\",\"doi\":\"10.12783/dtcse/cisnr2020/35164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper has established the COVID-19 SIR Dynamical Prediction Model. First, the official data is devoted to fit and simulate the spread of the epidemic, and the spread of speed of some countries. Then, in the next period of time the number of infected persons and several numerical trends are predicted. Finally, the error of the population infected is calculated and the result is 7.09%. It proposed the solution to solve practical problems.\",\"PeriodicalId\":11066,\"journal\":{\"name\":\"DEStech Transactions on Computer Science and Engineering\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/dtcse/cisnr2020/35164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtcse/cisnr2020/35164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The COVID-19 SIR Dynamical Prediction Model for Eradicating Corona Virus Disease 2019
This paper has established the COVID-19 SIR Dynamical Prediction Model. First, the official data is devoted to fit and simulate the spread of the epidemic, and the spread of speed of some countries. Then, in the next period of time the number of infected persons and several numerical trends are predicted. Finally, the error of the population infected is calculated and the result is 7.09%. It proposed the solution to solve practical problems.
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