Selected article for: "coronavirus epidemic and SIR model"

Author: Akyildiz, F. Talay; Alshammari, Fehaid Salem
Title: Complex mathematical SIR model for spreading of COVID-19 virus with Mittag-Leffler kernel
  • Cord-id: ffp539qx
  • Document date: 2021_7_3
  • ID: ffp539qx
    Snippet: This paper investigates a new model on coronavirus-19 disease (COVID-19), that is complex fractional SIR epidemic model with a nonstandard nonlinear incidence rate and a recovery, where derivative operator with Mittag-Leffler kernel in the Caputo sense (ABC). The model has two equilibrium points when the basic reproduction number [Formula: see text] ; a disease-free equilibrium [Formula: see text] and a disease endemic equilibrium [Formula: see text] . The disease-free equilibrium stage is local
    Document: This paper investigates a new model on coronavirus-19 disease (COVID-19), that is complex fractional SIR epidemic model with a nonstandard nonlinear incidence rate and a recovery, where derivative operator with Mittag-Leffler kernel in the Caputo sense (ABC). The model has two equilibrium points when the basic reproduction number [Formula: see text] ; a disease-free equilibrium [Formula: see text] and a disease endemic equilibrium [Formula: see text] . The disease-free equilibrium stage is locally and globally asymptotically stable when the basic reproduction number [Formula: see text] , we show that the endemic equilibrium state is locally asymptotically stable if [Formula: see text] . We also prove the existence and uniqueness of the solution for the Atangana–Baleanu SIR model by using a fixed-point method. Since the Atangana–Baleanu fractional derivative gives better precise results to the derivative with exponential kernel because of having fractional order, hence, it is a generalized form of the derivative with exponential kernel. The numerical simulations are explored for various values of the fractional order. Finally, the effect of the ABC fractional-order derivative on suspected and infected individuals carefully is examined and compared with the real data.

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