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

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dc.contributor.author Yadav, Supriya
dc.contributor.author Kumar, Devendra
dc.contributor.author Singh, Jagdev
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2022-03-17T08:17:34Z
dc.date.available 2022-03-17T08:17:34Z
dc.date.issued 2021-05
dc.identifier.citation Yadav, Supriya...et al. (2021). "Analysis and dynamics of fractional order Covid-19 model with memory effect", Results in Physics, Vol. 24. tr_TR
dc.identifier.issn 2211-3797
dc.identifier.uri http://hdl.handle.net/20.500.12416/5131
dc.description.abstract The 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. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.rinp.2021.104017 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Fractional Covid-19 Model tr_TR
dc.subject Sumudu Transform tr_TR
dc.subject Q-Homotopy Analysis Method tr_TR
dc.subject Stability Analysis tr_TR
dc.subject Next Generation Matrix tr_TR
dc.subject Adams–Bashforth–Moulton Method tr_TR
dc.title Analysis and dynamics of fractional order Covid-19 model with memory effect tr_TR
dc.type article tr_TR
dc.relation.journal Results in Physics tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 24 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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