Routh–Hurwitz Stability and Quasiperiodic Attractors in a Fractional-Order Model for Awareness Programs: Applications to COVID-19 Pandemic

Author:

Hassan Taher S.123ORCID,Elabbasy E. M.2ORCID,Matouk A.E.45ORCID,Ramadan Rabie A.67ORCID,Abdulrahman Alanazi T.1ORCID,Odinaev Ismoil8ORCID

Affiliation:

1. Department of Mathematics College of Science, University of Ha’il, Ha’il 2440, Saudi Arabia

2. Department of Mathematics Faculty of Science, Mansoura University, Mansoura 35516, Egypt

3. Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II 39 00186 Roma, Italy

4. Department of Mathematics College of Science Al-Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia

5. College of Engineering, Majmaah University, Al-Majmaah 11952, Saudi Arabia

6. College of Computer Science and Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia

7. Department of Computer Engineering Faculty of Engineering, Cairo University, Cairo 12613, Egypt

8. Department of Automated Electrical Systems Ural Power Engineering Institute, Ural Federal University, Yekaterinburg 620002, Russia

Abstract

This work explores Routh–Hurwitz stability and complex dynamics in models for awareness programs to mitigate the spread of epidemics. Here, the investigated models are the integer-order model for awareness programs and their corresponding fractional form. A non-negative solution is shown to exist inside the globally attracting set (GAS) of the fractional model. It is also shown that the diseasefree steady state is locally asymptotically stable (LAS) given that R 0 is less than one, where R 0 is the basic reproduction number. However, as R 0 > 1 , an endemic steady state is created whose stability analysis is studied according to the extended fractional Routh–Hurwitz scheme, as the order lies in the interval (0,2]. Furthermore, the proposed awareness program models are numerically simulated based on the predictor-corrector algorithm and some clinical data of the COVID-19 pandemic in KSA. Besides, the model’s basic reproduction number in KSA is calculated using the selected data R 0 = 1.977828168 . In conclusion, the findings indicate the effectiveness of fractional-order calculus to simulate, predict, and control the spread of epidemiological diseases.

Funder

Scientific Research Deanship at University of Ha’il - Saudi Arabia

Publisher

Hindawi Limited

Subject

Modeling and Simulation

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