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. |
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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. |
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dc.language.iso |
eng |
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dc.relation.isversionof |
10.1016/j.rinp.2021.104017 |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.subject |
Fractional Covid-19 Model |
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dc.subject |
Sumudu Transform |
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dc.subject |
Q-Homotopy Analysis Method |
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dc.subject |
Stability Analysis |
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dc.subject |
Next Generation Matrix |
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dc.subject |
Adams–Bashforth–Moulton Method |
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dc.title |
Analysis and dynamics of fractional order Covid-19 model with memory effect |
tr_TR |
dc.type |
article |
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dc.relation.journal |
Results in Physics |
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dc.contributor.authorID |
56389 |
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dc.identifier.volume |
24 |
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dc.contributor.department |
Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü |
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