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Erschienen in: Journal of Applied Mathematics and Computing 1/2022

22.03.2021 | Original Research

Stability analysis of COVID-19 model with fractional-order derivative and a delay in implementing the quarantine strategy

verfasst von: M. M. Hikal, M. M. A. Elsheikh, W. K. Zahra

Erschienen in: Journal of Applied Mathematics and Computing | Ausgabe 1/2022

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Abstract

This study presents methods of hygiene and the use of masks to control the disease. The zero basic reproduction number can be achieved by taking the necessary precautionary measures that prevent the transmission of infection, especially from uninfected virus carriers. The existence of time delay in implementing the quarantine strategy and the threshold values of the time delay that keeping the stability of the system are established. Also, it is found that keeping the infected people quarantined immediately is very important in combating and controlling the spread of the disease. Also, for special cases of the system parameters, the time delay can not affect the asymptotic behavior of the disease. Finally, numerical simulations have been illustrated to validate the theoretical analysis of the proposed model.

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Metadaten
Titel
Stability analysis of COVID-19 model with fractional-order derivative and a delay in implementing the quarantine strategy
verfasst von
M. M. Hikal
M. M. A. Elsheikh
W. K. Zahra
Publikationsdatum
22.03.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Applied Mathematics and Computing / Ausgabe 1/2022
Print ISSN: 1598-5865
Elektronische ISSN: 1865-2085
DOI
https://doi.org/10.1007/s12190-021-01515-y

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