Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/118194
Title: Routh-Hurwitz Stability and Quasiperiodic Attractors in a Fractional-Order Model for Awareness Programs: Applications to COVID-19 Pandemic
Authors: Hassan, T. S.
Elabbasy, E. M.
Matouk, A. E.
Ramadan, R. A.
Abdulrahman, A. T.
Odinaev, I.
Issue Date: 2022
Publisher: Hindawi Limited
Citation: Routh-Hurwitz Stability and Quasiperiodic Attractors in a Fractional-Order Model for Awareness Programs: Applications to COVID-19 Pandemic / T. S. Hassan, E. M. Elabbasy, A. E. Matouk et al. // Discrete Dynamics in Nature and Society. — 2022. — Vol. 2022. — 1939260.
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 R0 is less than one, where R0 is the basic reproduction number. However, as R0>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 R0=1.977828168. In conclusion, the findings indicate the effectiveness of fractional-order calculus to simulate, predict, and control the spread of epidemiological diseases. © 2022 Taher S. Hassan et al.
URI: http://elar.urfu.ru/handle/10995/118194
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85129155558
WOS ID: 000791785500002
PURE ID: 30100941
ISSN: 10260226
DOI: 10.1155/2022/1939260
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85129155558.pdf6,45 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.