FRACTIONAL ORDER MODEL FOR THE CORONAVIRUS (COVID-19) IN WUHAN, CHINA

Sahibzada Waseem Ahmad (), Muhammad Sarwar, Gul Rahmat (), Kamal Shah, Hijaz Ahmad and Abd Allah A. Mousa
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Sahibzada Waseem Ahmad: Department of Mathematics, University of Malakand, Chakdara Dir(L), Pakistan
Muhammad Sarwar: Department of Mathematics, University of Malakand, Chakdara Dir(L), Pakistan
Gul Rahmat: Department of Mathematics, Islamia College Peshawar, KPK, Pakistan
Kamal Shah: Department of Mathematics, University of Malakand, Chakdara Dir(L), Pakistan3Department of Mathematics and General Sciences, Prince Sultan University, Riyadh, Saudi Arabia
Hijaz Ahmad: Section of Mathematics, International Telematic University, Uninettuno, Corso Vittorio Emanuele II, 39, Roma, 00186, Italy5Mathematics in Applied Sciences and Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar 64001, Iraq
Abd Allah A. Mousa: Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

FRACTALS (fractals), 2022, vol. 30, issue 01, 1-15

Abstract: In this paper, the mathematical modeling of five different classes for coronavirus disease-19 (COVID-19) is considered using the fractional arbitrary order derivative in Atangana–Baleanu sense. We use nonlinear analysis for the existence theory of the solution for the suggested model. Additionally, the modified Adam–Bashforth method is used for the numerical approximation of the assumed model. Finally, we simulate the results for 100 days with the help of data from the literature to display the excellency of the suggested model.

Keywords: Coronavirus; COVID-19; Approximation; Existence and Uniqueness; Atangana–Baleanu Derivative; Modified Adam–Bashforth Method (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0218348X22400072

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