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A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case

In this paper, we develop and examine a mathematical model of human melioidosis transmission with asymptomatic cases to describe the dynamics of the epidemic. The basic reproduction number [Formula: see text] of the model is obtained. Disease-free equilibrium of the model is proven to be globally as...

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Autores principales: Engida, Habtamu Ayalew, Theuri, David Mwangi, Gathungu, Duncan, Gachohi, John, Alemneh, Haileyesus Tessema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674546/
https://www.ncbi.nlm.nih.gov/pubmed/36411894
http://dx.doi.org/10.1016/j.heliyon.2022.e11720
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author Engida, Habtamu Ayalew
Theuri, David Mwangi
Gathungu, Duncan
Gachohi, John
Alemneh, Haileyesus Tessema
author_facet Engida, Habtamu Ayalew
Theuri, David Mwangi
Gathungu, Duncan
Gachohi, John
Alemneh, Haileyesus Tessema
author_sort Engida, Habtamu Ayalew
collection PubMed
description In this paper, we develop and examine a mathematical model of human melioidosis transmission with asymptomatic cases to describe the dynamics of the epidemic. The basic reproduction number [Formula: see text] of the model is obtained. Disease-free equilibrium of the model is proven to be globally asymptotically stable when [Formula: see text] is less than the unity, while the endemic equilibrium of the model is shown to be locally asymptotically stable if [Formula: see text] is greater than unity. Sensitivity analysis is performed to illustrate the effect of the model parameters influencing on the disease dynamics. Furthermore, numerical experiments of the model are conducted to validate the theoretical findings.
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spelling pubmed-96745462022-11-20 A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case Engida, Habtamu Ayalew Theuri, David Mwangi Gathungu, Duncan Gachohi, John Alemneh, Haileyesus Tessema Heliyon Research Article In this paper, we develop and examine a mathematical model of human melioidosis transmission with asymptomatic cases to describe the dynamics of the epidemic. The basic reproduction number [Formula: see text] of the model is obtained. Disease-free equilibrium of the model is proven to be globally asymptotically stable when [Formula: see text] is less than the unity, while the endemic equilibrium of the model is shown to be locally asymptotically stable if [Formula: see text] is greater than unity. Sensitivity analysis is performed to illustrate the effect of the model parameters influencing on the disease dynamics. Furthermore, numerical experiments of the model are conducted to validate the theoretical findings. Elsevier 2022-11-15 /pmc/articles/PMC9674546/ /pubmed/36411894 http://dx.doi.org/10.1016/j.heliyon.2022.e11720 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Engida, Habtamu Ayalew
Theuri, David Mwangi
Gathungu, Duncan
Gachohi, John
Alemneh, Haileyesus Tessema
A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title_full A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title_fullStr A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title_full_unstemmed A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title_short A mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
title_sort mathematical model analysis of the human melioidosis transmission dynamics with an asymptomatic case
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674546/
https://www.ncbi.nlm.nih.gov/pubmed/36411894
http://dx.doi.org/10.1016/j.heliyon.2022.e11720
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