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On the dynamical modeling of COVID-19 involving Atangana–Baleanu fractional derivative and based on Daubechies framelet simulations
Chaos, Solitons and Fractals
  • Mutaz Mohammad, Zayed University
  • Alexander Trounev, Kuban State Agrarian University
ORCID Identifiers

0000-0003-0976-6021

Document Type
Article
Publication Date
11-1-2020
Abstract

© 2020 In this paper, we present a novel fractional order COVID-19 mathematical model by involving fractional order with specific parameters. The new fractional model is based on the well-known Atangana–Baleanu fractional derivative with non-singular kernel. The proposed system is developed using eight fractional-order nonlinear differential equations. The Daubechies framelet system of the model is used to simulate the nonlinear differential equations presented in this paper. The framelet system is generated based on the quasi-affine setting. In order to validate the numerical scheme, we provide numerical simulations of all variables given in the model.

Publisher
Elsevier Ltd
Disciplines
Keywords
  • Daubechies wavelet,
  • Fractional differential equations,
  • Mathematical model,
  • Novel coronavirus,
  • Tight frame
Scopus ID
85089086594
Indexed in Scopus
Yes
Open Access
Yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386312
Citation Information
Mutaz Mohammad and Alexander Trounev. "On the dynamical modeling of COVID-19 involving Atangana–Baleanu fractional derivative and based on Daubechies framelet simulations" Chaos, Solitons and Fractals Vol. 140 (2020) p. 110171 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0960-0779" target="_blank">0960-0779</a>
Available at: http://works.bepress.com/mutaz-mohammad/9/