Fuzzy fractional-order model of the novel coronavirus.

Ahmad, S; Ullah, A; Shah, K; Salahshour, S; Ahmadian, A; Ciano, T

Ahmad, S; Ullah, A; Shah, K; Salahshour, S; Ahmadian, A; Ciano, T.

Ahmad S; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
Ullah A; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
Shah K; Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa Pakistan.
Salahshour S; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey.
Ahmadian A; Institute of IR 4.0, The National University of Malaysia, 43600 Bangi, Selangor Malaysia.
Ciano T; Department of Law, Economics and Human Sciences & Decisions Lab, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy.

Adv Differ Equ ; 2020(1): 472, 2020.

Artigo em Inglês | MEDLINE | ID: covidwho-748934

ABSTRACT

ABSTRACT

In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo's sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation.

Palavras-chave

Adomian decomposition method; Approximate solutions; Coronavirus infection system; Fuzzy fractional order derivative; Fuzzy number

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Idioma: Inglês Revista: Adv Differ Equ Ano de publicação: 2020 Tipo de documento: Artigo

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