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Mathematical modelling of the COVID-19 pandemic with demographic effects
In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic effects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number ([Formula: see text] ) by solving the differential equations of the model and also using...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968565/ http://dx.doi.org/10.1186/s42787-021-00118-7 |
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author | Kamara, Abdul A. Mouanguissa, Lagès N. Barasa, Godfrey Okumu |
author_facet | Kamara, Abdul A. Mouanguissa, Lagès N. Barasa, Godfrey Okumu |
author_sort | Kamara, Abdul A. |
collection | PubMed |
description | In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic effects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number ([Formula: see text] ) by solving the differential 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 [Formula: see text] or [Formula: see text] and [Formula: see text] or [Formula: see text] 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. |
format | Online Article Text |
id | pubmed-7968565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-79685652021-03-18 Mathematical modelling of the COVID-19 pandemic with demographic effects Kamara, Abdul A. Mouanguissa, Lagès N. Barasa, Godfrey Okumu J Egypt Math Soc Original Research In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic effects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number ([Formula: see text] ) by solving the differential 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 [Formula: see text] or [Formula: see text] and [Formula: see text] or [Formula: see text] 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. Springer Berlin Heidelberg 2021-03-17 2021 /pmc/articles/PMC7968565/ http://dx.doi.org/10.1186/s42787-021-00118-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Kamara, Abdul A. Mouanguissa, Lagès N. Barasa, Godfrey Okumu Mathematical modelling of the COVID-19 pandemic with demographic effects |
title | Mathematical modelling of the COVID-19 pandemic with demographic effects |
title_full | Mathematical modelling of the COVID-19 pandemic with demographic effects |
title_fullStr | Mathematical modelling of the COVID-19 pandemic with demographic effects |
title_full_unstemmed | Mathematical modelling of the COVID-19 pandemic with demographic effects |
title_short | Mathematical modelling of the COVID-19 pandemic with demographic effects |
title_sort | mathematical modelling of the covid-19 pandemic with demographic effects |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968565/ http://dx.doi.org/10.1186/s42787-021-00118-7 |
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