2022
DOI: 10.17512/jamcm.2022.1.01
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Numerical and theoretical analysis of an awareness COVID-19 epidemic model via generalized Atangana-Baleanu fractional derivative

Abstract: In this paper, a COVID-19 Awareness model in the setting of a generalized fractional Atangana-Baleanu derivative is proposed. The existence and uniqueness of a solution of the proposed fractional-order model are investigated under the techniques of fixed point theorems. In addition, we perform the predictor-corrector method to find its numeric solutions and present the graphs of the various solutions using different values of the parameters embodied in the derivative.

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Cited by 6 publications
(2 citation statements)
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References 8 publications
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“…This virus was first reported at the end of 2019 in Wuhan, China. Then, it was reported in other places in China surprisingly [2]. In three months, the disease was transmitted in many countries of the world.…”
Section: Introductionmentioning
confidence: 99%
“…This virus was first reported at the end of 2019 in Wuhan, China. Then, it was reported in other places in China surprisingly [2]. In three months, the disease was transmitted in many countries of the world.…”
Section: Introductionmentioning
confidence: 99%
“…Recent literature on the application of fractional derivative for studying the Covid‐19 virus includes Yao et al, 10 with a study on fractional‐order Covid‐19 model with transmission route infected through the environment, while Baba et al 11 employed the generalized Atangana‐Baleanu fractional derivative to investigate the awareness Covid‐19 epidemic model. A Fractional‐order Compartmental model of Covid‐19 vaccination with the fear factor was presented by Chatterjee et al 12 Ali et al 13 presented a fractional‐order mathematical model for Covid‐19 outbreak with the effect of symptomatic and asymptomatic transmissions, and Baba et al 14 assessed the efficiency of face‐mask to the community transmission of Covid‐19 using Fractional dynamical model.…”
Section: Introductionmentioning
confidence: 99%