{"title":"Stochastic Generalization of the Epidemiological SIR Model","authors":"Vladimir Obolonkin, A. Zherelo","doi":"10.33581/1561-4085-2021-24-4-409-414","DOIUrl":null,"url":null,"abstract":"In this paper we propose stochastic modification of well-known in epidemiology SIR model. This modification allows us to simulate various scenarios of infection and can be used for the risk management.","PeriodicalId":43601,"journal":{"name":"Nonlinear Phenomena in Complex Systems","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Phenomena in Complex Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33581/1561-4085-2021-24-4-409-414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we propose stochastic modification of well-known in epidemiology SIR model. This modification allows us to simulate various scenarios of infection and can be used for the risk management.