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Mathematical Methods in the Applied Sciences
Article . 2021 . Peer-reviewed
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zbMATH Open
Article . 2023
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https://doi.org/10.22541/au.15...
Article . 2020 . Peer-reviewed
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Analysis of fractional COVID‐19 epidemic model under Caputo operator

Analysis of fractional COVID-19 epidemic model under Caputo operator
Authors: Rahat Zarin; Amir Khan; Abdullahi Yusuf; Sayed Abdel‐Khalek; Mustafa Inc;

Analysis of fractional COVID‐19 epidemic model under Caputo operator

Abstract

The article deals with the analysis of the fractional COVID‐19 epidemic model (FCEM) with a convex incidence rate. Keeping in view the fading memory and crossover behavior found in many biological phenomena, we study the coronavirus disease by using the noninteger Caputo derivative (CD). Under the Caputo operator (CO), existence and uniqueness for the solutions of the FCEM have been analyzed using fixed point theorems. We study all the basic properties and results including local and global stability. We show the global stability of disease‐free equilibrium using the method of Castillo‐Chavez, while for disease endemic, we use the method of geometrical approach. Sensitivity analysis is carried out to highlight the most sensitive parameters corresponding to basic reproduction number. Simulations are performed via first‐order convergent numerical technique to determine how changes in parameters affect the dynamical behavior of the system.

Country
Turkey
Keywords

Epidemiology, Fractional ordinary differential equations, Global stability of solutions to ordinary differential equations, stability analysis, Numerical Simulations, numerical simulations, Sensitivity Analysis, Stability Analysis, epidemic model, sensitivity analysis, Epidemic Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
Green
bronze