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dc.contributor.authorObolonkin, V.-
dc.contributor.authorZherelo, A.-
dc.date.accessioned2023-01-23T07:36:00Z-
dc.date.available2023-01-23T07:36:00Z-
dc.date.issued2021-
dc.identifier.citationNonlinear Phenomena in Complex Systems. - 2021. - Vol. 24, N 4. - P. 409-414ru
dc.identifier.issn1561-4085-
dc.identifier.urihttps://elib.bsu.by/handle/123456789/292550-
dc.description.abstractIn 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.ru
dc.language.isoenru
dc.publisherMinsk : Education and Upbringingru
dc.rightsinfo:eu-repo/semantics/restrictedAccessen
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физикаru
dc.titleStochastic Generalization of the Epidemiological SIR Modelru
dc.typearticleru
dc.rights.licenseCC BY 4.0ru
dc.identifier.DOI10.33581/1561-4085-2021-24-4-409-414-
Appears in Collections:2021. Volume 24. Number 4

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