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Modeling the dynamics of COVID-19 using fractal-fractional operator with a case study

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成果类型:
期刊论文
作者:
Zhou, Jian-Cun;Salahshour, Soheil;Ahmadian, Ali;Senu, Norazak
通讯作者:
Salahshour, S
作者机构:
[Zhou, Jian-Cun] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
[Zhou, Jian-Cun] Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.
[Salahshour, Soheil; Salahshour, S] Bahcesehir Univ, Fac Engn & Nat Sci, Istanbul, Turkey.
[Ahmadian, Ali] Mediterranea Univ Reggio Calabria, Dept Law Econ & Human Sci, Reggio Di Calabria, Italy.
[Ahmadian, Ali] Near East Univ, Dept Math, TRNC 10, Nicosia, Turkey.
通讯机构:
[Salahshour, S ] B
Bahcesehir Univ, Fac Engn & Nat Sci, Istanbul, Turkey.
语种:
英文
关键词:
Adams–Bashforth method;Case study;COVID-19 transmission;Deterministic stability analysis;Fractal fractional order model;Newton polynomial
期刊:
Results in Physics
ISSN:
2211-3797
年:
2022
卷:
33
页码:
105103
基金类别:
Key projects of Hunan Provincial Department of Education, China [20A88]
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
This research study consists of a newly proposed Atangana–Baleanu derivative for transmission dynamics of the coronavirus (COVID-19) epidemic. Taking the advantage of non-local Atangana–Baleanu fractional-derivative approach, the dynamics of the well-known COVID-19 have been examined and analyzed with the induction of various infection phases and multiple routes of transmissions. For this purpose, an attempt is made to present a novel approach that initially formulates the proposed model using classical integer-order differential equations, f...

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