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A New Fractional Infectious Disease Model Under the Non-Singular Mittag-Leffler Derivative

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Date

2022

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis Ltd

Open Access Color

Green Open Access

No

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No
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Abstract

In this manuscript, we consider a fractional mathematical model, which describes the dynamics of infectious disease, under the non-singular Mittag-Leffler derivative. The model under consideration is the extension of the SIRV model, where the infectious class has been divided into two compartments, namely the acute and chronically infectious individuals. First, we obtain the possible equilibrium states of the given model. With the help of the next generation matrix approach, the reproduction number has been calculated for the system to find conditions on the spread or control of the disease. Additionally, a new concept of strength number and analysis of the second derivative of the Lyapunov function has been used for the detection of waves. We investigate the said problem for qualitative analysis and determine at least one solution by applying the approach of fixed point theory. For approximate solution, the technique of iterative fractional-order Adams-Bashforth scheme has been used. Numerical simulation for the proposed scheme has been performed at various fractional-order lying between 0, 1 and for integer-order 1. All the compartments show convergency and stability with growing time. A good comparative result has been given by different fractional orders and achieves stability faster at the low fractional orders.

Description

Anjam, Yasir Nadeem/0000-0003-4515-8082

Keywords

Infectious Disease Model, Strength Number, Analysis Of Second Derivative, Existence And Uniqueness Results, Numerical Simulations

Fields of Science

0103 physical sciences, 01 natural sciences

Citation

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OpenCitations Citation Count
20

Source

Waves in Random and Complex Media

Volume

35

Issue

Start Page

1617

End Page

1643
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CrossRef : 16

Scopus : 21

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Mendeley Readers : 3

SCOPUS™ Citations

21

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Web of Science™ Citations

28

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2

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