A hybrid fractional COVID-19 model with general population mask use: Numerical treatments | Zendy

N. H. Sweilam | Zendy; Seham M. AlMekhlafi | Zendy; Al danah Ghazai Almutairi | Zendy; Dumitru Băleanu | Zendy

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A hybrid fractional COVID-19 model with general population mask use: Numerical treatments

Author(s) -

N. H. Sweilam,

Seham M. AlMekhlafi,

Al danah Ghazai Almutairi,

Dumitru Băleanu

Publication year - 2021

Publication title -

alexandria engineering journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.584

H-Index - 58

eISSN - 2090-2670

pISSN - 1110-0168

DOI - 10.1016/j.aej.2021.01.057

Subject(s) - mathematics , fractional calculus , stability (learning theory) , operator (biology) , nonlinear system , population , population model , order (exchange) , covid-19 , computer science , physics , medicine , machine learning , repressor , chemistry , pathology , biochemistry , quantum mechanics , disease , infectious disease (medical specialty) , environmental health , transcription factor , finance , economics , gene

In this work, a novel mathematical model of Coronavirus (2019-nCov) with general population mask use with modified parameters. The proposed model consists of fourteen fractional-order nonlinear differential equations. Grünwald-Letnikov approximation is used to approximate the new hybrid fractional operator. Compact finite difference method of six order with a new hybrid fractional operator is developed to study the proposed model. Stability analysis of the used methods are given. Comparative studies with generalized fourth order Runge-Kutta method are given. It is found that, the proposed model can be described well the real data of daily confirmed cases in Egypt.

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