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Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic model

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dc.contributor.author Din, Anwarud
dc.contributor.author Khan, Amir
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2023-01-16T07:53:52Z
dc.date.available 2023-01-16T07:53:52Z
dc.date.issued 2020-10
dc.identifier.citation Din, Anwarud; Khan, Amir; Baleanu, Dumitru (2020). "Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic model", Chaos, Solitons and Fractals, Vol. 139. tr_TR
dc.identifier.issn 0960-0779
dc.identifier.issn 1873-2887
dc.identifier.uri http://hdl.handle.net/20.500.12416/6061
dc.description.abstract Similar to other epidemics, the novel coronavirus (COVID-19) spread very fast and infected almost two hundreds countries around the globe since December 2019. The unique characteristics of the COVID-19 include its ability of faster expansion through freely existed viruses or air molecules in the atmosphere. Assuming that the spread of virus follows a random process instead of deterministic. The continuous time Markov Chain (CTMC) through stochastic model approach has been utilized for predicting the impending states with the use of random variables. The proposed study is devoted to investigate a model consist of three exclusive compartments. The first class includes white nose based transmission rate (termed as susceptible individuals), the second one pertains to the infected population having the same perturbation occurrence and the last one isolated (quarantined) individuals. We discuss the model's extinction as well as the stationary distribution in order to derive the the sufficient criterion for the persistence and disease' extinction. Lastly, the numerical simulation is executed for supporting the theoretical findings. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.chaos.2020.110036 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Stochastic Epidemic Model tr_TR
dc.subject COVID-19 tr_TR
dc.subject Threshold Value tr_TR
dc.subject Global Stability tr_TR
dc.subject Real Data tr_TR
dc.subject Stationary Distribution tr_TR
dc.title Stationary distribution and extinction of stochastic coronavirus (COVID-19) epidemic model tr_TR
dc.type article tr_TR
dc.relation.journal Chaos, Solitons and Fractals tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 139 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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