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Dergiler / Chaos Theory and Applications / 2023 / Cilt: 5 - Sayı: 1

Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative

Muhammad SİNAN
Kamal SHAH
Thabet ABDELJAWAD
Ali AKGUL
Sayfa
27–33
Yayın Tarihi
2023-03-31
DOI
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All the results are presented graphically.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Short memory and long memory terms are excellently explained using the concept of piecewise fractional order derivatives.
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Temel Bulgular & Veri:In this research work, we investigate dynamical systems addressing COVID-19 under piecewise equations with fractional order derivative (FOD).
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Sonuç & Katkı:All the results are presented graphically.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2016 Verileri
⚙️Değişkenler:Nonlinear dynamical system · Crossover behavior · Mathematical biology

Abstract

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.

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Bu Makaleye Atıf Yap

SİNAN, M., SHAH, K., ABDELJAWAD, T., AKGUL, A. (2023). Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative. Chaos Theory and Applications, Cilt: 5 - Sayı: 1, 27–33. https://ajindex.com/articles/885334

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Kaynakça (8)

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