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Analysis and dynamics of fractional order Covid-19 model with memory effect

dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorKumar, Devendra
dc.contributor.authorSingh, Jagdev
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-03-17T08:17:34Z
dc.date.available2022-03-17T08:17:34Z
dc.date.issued2021
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe present article attempts to examine fractional order Covid-19 model by employing an efficient and powerful analytical scheme termed as q-homotopy analysis Sumudu transform method (q-HASTM). The q-HASTM is the hybrid scheme based on q-HAM and Sumudu transform technique. Liouville-Caputo approach of the fractional operator has been employed. The proposed modelis also examined numerically via generalized Adams-Bashforth-Moulton method. We determined model equilibria and also give their stability analysis by employing next generation matrix and fractional Routh-Hurwitz stability criterion.en_US
dc.description.publishedMonth5
dc.identifier.citationYadav, Supriya...et al. (2021). "Analysis and dynamics of fractional order Covid-19 model with memory effect", Results in Physics, Vol. 24.en_US
dc.identifier.doi10.1016/j.rinp.2021.104017
dc.identifier.issn2211-3797
dc.identifier.urihttps://hdl.handle.net/20.500.12416/5131
dc.identifier.volume24en_US
dc.language.isoenen_US
dc.relation.ispartofResults in Physicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFractional Covid-19 Modelen_US
dc.subjectSumudu Transformen_US
dc.subjectQ-Homotopy Analysis Methoden_US
dc.subjectStability Analysisen_US
dc.subjectNext Generation Matrixen_US
dc.subjectAdams–Bashforth–Moulton Methoden_US
dc.titleAnalysis and dynamics of fractional order Covid-19 model with memory effecttr_TR
dc.titleAnalysis and Dynamics of Fractional Order Covid-19 Model With Memory Effecten_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

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