Investigating a nonlinear dynamical model of COVID-19 disease under fuzzy caputo, random and ABC fractional order derivative

被引：101

作者：

Rahman, Mati Ur ^{[1
]}

Arfan, Muhammad ^{[2
]}

Shah, Kamal ^{[2
]}

Gomez-Aguilar, J. F. ^{[3
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Math, 800 Dongchuan Rd, Shanghai, Peoples R China

[2] Univ Malakand, Dept Math, Khyber Pakhtunkhawa, Pakistan

[3] CONACyT Tecnol Nacl Mexico CENIDET, Interior Internado Palmira S N, Cuernavaca 62490, Morelos, Mexico

来源：

CHAOS SOLITONS & FRACTALS | 2020年 / 140卷

关键词：

Qualitative theory; Fuzzy fractional dynamical system; Random fractional derivative; Mathematical model of COVID-19; EPIDEMIC MODEL; DIFFERENTIAL-EQUATIONS; CALCULUS; VIRUSES;

D O I：

10.1016/j.chaos.2020.110232

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper is devoted to investigation of the fractional order fuzzy dynamical system, in our case, modeling the recent pandemic due to corona virus (COVID-19). The considered model is analyzed for exactness and uniqueness of solution by using fixed point theory approach. We have also provided the numerical solution of the nonlinear dynamical system with the help of some iterative method applying Caputo as well as Attangana-Baleanu and Caputo fractional type derivative. Also, random COVID-19 model described by a system of random differential equations was presented. At the end we have given some numerical approximation to illustrate the proposed method by applying different fractional values corresponding to uncertainty. (c) 2020 Elsevier Ltd. All rights reserved.

引用

页数：24

共 48 条

[41] A Fractional Order SITR Model for Forecasting of Transmission of COVID-19: Sensitivity Statistical Analysis [J].

Al-Zahrani, S. M. ;

Elsmih, F. E., I ;

Al-Zahrani, K. S. ;

Saber, S. .

MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES, 2022, 16 (03) :517-536

[42] A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model [J].

Khan, Hasib ;

Begum, Razia ;

Abdeljawad, Thabet ;

Khashan, M. Motawi .

ADVANCES IN DIFFERENCE EQUATIONS, 2021, 2021 (01)

[43] Is fractional-order chaos theory the new tool to model chaotic pandemics as Covid-19? [J].

Borah, Manashita ;

Gayan, Antara ;

Sharma, Jiv Siddhi ;

Chen, YangQuan ;

Wei, Zhouchao ;

Viet-Thanh Pham .

NONLINEAR DYNAMICS, 2022, 109 (02) :1187-1215

[44] A fractional-order model describing the dynamics of the novel coronavirus (COVID-19) with nonsingular kernel [J].

Boudaoui, Ahmed ;

Moussa, Yacine El Hadj ;

Hammouch, Zakia ;

Ullah, Saif .

CHAOS SOLITONS & FRACTALS, 2021, 146

[45] Chaotic dynamics in a novel COVID-19 pandemic model described by commensurate and incommensurate fractional-order derivatives [J].

Debbouche, Nadjette ;

Ouannas, Adel ;

Batiha, Iqbal M. ;

Grassi, Giuseppe .

NONLINEAR DYNAMICS, 2022, 109 (01) :33-45

[46] Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks [J].

Akkilic, Ayse Nur ;

Sabir, Zulqurnain ;

Raja, Muhammad Asif Zahoor ;

Bulut, Hasan .

EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 137 (03)

[47] A (2+1)-Dimensional Fractional-Order Epidemic Model with Pulse Jumps for Omicron COVID-19 Transmission and Its Numerical Simulation [J].

Zhu, Wen-Jing ;

Shen, Shou-Feng ;

Ma, Wen-Xiu .

MATHEMATICS, 2022, 10 (14)

[48] Exploring COVID-19 model with general fractional deriva-tives: novel Physics-Informed-Neural-Networks approach for dynamics and order estimation [J].

Aghdaoui, Hassan ;

Raezah, Aeshah A. ;

Tilioua, Mouhcine ;

Sabbar, Yassine .

JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2025, 36 (02) :142-162

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