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386532

Mathematical modelling of the COVID‑19 pandemic with demographic efects

Article

Last updated: 31 Dec 2024

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Abstract

In this paper, a latent infection susceptible–exposed–infectious–recovered model with
demographic efects is used to understand the dynamics of the COVID-19 pandemics.
We calculate the basic reproduction number (R0) by solving the diferential equations
of the model and also using next-generation matrix method. We also prove the global
stability of the model using the Lyapunov method. We showed that when the R0 < 1 or
R0 ≤ 1 and R0 > 1 or R0 ≥ 1 the disease-free and endemic equilibria asymptotic stability
exist theoretically. We provide numerical simulations to demonstrate the detrimental
impact of the direct and latent infections for the COVID-19 pandemic.

DOI

10.1186/s42787-021-00118-7

Keywords

mathematical modelling, COVID-19, Demographic efects, Asymptotic stability

Authors

First Name

Abdul A.

Last Name

Kamara

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Affiliation

Department of Mathematics and Statistics, Fourah Bay College, University of Sierra Leone, Freetown, Sierra Leone.

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First Name

Lagès N.

Last Name

Mouanguissa

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Affiliation

Department of Mathematics, Ecole Normale Superieure Université Marien Ngouabi, Brazzaville, Congo.

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First Name

Godfrey Okumu

Last Name

Barasa

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Affiliation

Department of Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.

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Volume

29

Article Issue

1

Related Issue

50998

Issue Date

2021-01-01

Receive Date

2024-10-16

Publish Date

2021-01-01

Page Start

1

Page End

13

Print ISSN

1110-256X

Online ISSN

2090-9128

Link

https://joems.journals.ekb.eg/article_386532.html

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https://joems.journals.ekb.eg/service?article_code=386532

Order

386,532

Type

Original Article

Type Code

3,248

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

Mathematical modelling of the COVID‑19 pandemic with demographic efects

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Article

Created At

21 Dec 2024