A Fractional-Order Mathematical Model Based on Vaccinated and Infected Compartments of Sars-Cov With a Real Case Study During the Last Stages of the Epidemiological Event
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
Yes
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OpenAIRE Views
Publicly Funded
No
Abstract
In 2020 the world faced with a pandemic spread that affected almost everything of humans' social and health life. Regulations to decrease the epidemiological spread and studies to produce the vaccine of SARS-CoV-2 were on one side a hope to return back to the regular life, but on the other side there were also notable criticism about the vaccines itself. In this study, we established a fractional order differential equations system incorporating the vaccinated and re-infected compartments to a SIR frame to consider the expanded and detailed form as an SVIIvR model. We considered in the model some essential parameters, such as the protection rate of the vaccines, the vaccination rate, and the vaccine's lost efficacy after a certain period. We obtained the local stability of the disease-free and co-existing equilibrium points under specific conditions using the Routh-Hurwitz Criterion and the global stability in using a suitable Lyapunov function. For the numerical solutions we applied the Euler's method. The data for the simulations were taken from the World Health Organization (WHO) to illustrate numerically some scenarios that happened.(c) 2022 Elsevier B.V. All rights reserved.
Description
Yousef, Ali/0000-0002-8824-5947;
ORCID
Keywords
SARS-CoV-2, Caputo Fractional Derivative, Stability, Vaccine, Stability Vaccine, SARS-CoV-2, Caputo Fractional Derivative, Article, Medical epidemiology, Caputo fractional derivative, vaccine, Fractional ordinary differential equations, stability
Fields of Science
0103 physical sciences, 0101 mathematics, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
13
Source
Journal of Computational and Applied Mathematics
Volume
425
Issue
Start Page
115015
End Page
PlumX Metrics
Citations
CrossRef : 13
Scopus : 13
PubMed : 1
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Mendeley Readers : 6
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