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Sinan M.♦, Kamal S.♦, Thabet A.♦, Akgul A.♦, Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative,
Chaos Theory and Applications, ISSN: 2687-4539, DOI: 10.51537/chaos.1210461, Vol.5, No.1, pp.27-33, 2023 Streszczenie:
Short memory and long memory terms are excellently explained using the concept of piecewise fractional order derivatives. In this research work, we investigate dynamical systems addressing COVID-19 under piecewise equations with fractional order derivative (FOD). Here, we study the sensitivity of the proposed model by using some tools from the nonlinear analysis. Additionally, we develop a numerical scheme to simulate the model against various fractional orders by using Matlab 2016. All the results are presented graphically. Słowa kluczowe:
Nonlinear dynamical system, Crossover behavior, Mathematical biology, Sensitivity analysis Afiliacje autorów:
| Sinan M. | - | inna afiliacja | | Kamal S. | - | inna afiliacja | | Thabet A. | - | inna afiliacja | | Akgul A. | - | inna afiliacja |
|  | 20p. |
