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A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus

A new co-infection model for the transmission dynamics of two virus hepatitis B (HBV) and coronavirus (COVID-19) is formulated to study the effect of white noise intensities. First, we present the model equilibria and basic reproduction number. The local stability of the equilibria points is proved....

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Autores principales: Din, Anwarud, Amine, Saida, Allali, Amina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517998/
https://www.ncbi.nlm.nih.gov/pubmed/36193119
http://dx.doi.org/10.1007/s11071-022-07899-1
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author Din, Anwarud
Amine, Saida
Allali, Amina
author_facet Din, Anwarud
Amine, Saida
Allali, Amina
author_sort Din, Anwarud
collection PubMed
description A new co-infection model for the transmission dynamics of two virus hepatitis B (HBV) and coronavirus (COVID-19) is formulated to study the effect of white noise intensities. First, we present the model equilibria and basic reproduction number. The local stability of the equilibria points is proved. Moreover, the proposed stochastic model has been investigated for a non-negative solution and positively invariant region. With the help of Lyapunov function, analysis was performed and conditions for extinction and persistence of the disease based on the stochastic co-infection model were derived. Particularly, we discuss the dynamics of the stochastic model around the disease-free state. Similarly, we obtain the conditions that fluctuate at the disease endemic state holds if [Formula: see text] . Based on extinction as well as persistence some conditions are established in form of expression containing white noise intensities as well as model parameters. The numerical results have also been used to illustrate our analytical results.
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spelling pubmed-95179982022-09-29 A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus Din, Anwarud Amine, Saida Allali, Amina Nonlinear Dyn Original Paper A new co-infection model for the transmission dynamics of two virus hepatitis B (HBV) and coronavirus (COVID-19) is formulated to study the effect of white noise intensities. First, we present the model equilibria and basic reproduction number. The local stability of the equilibria points is proved. Moreover, the proposed stochastic model has been investigated for a non-negative solution and positively invariant region. With the help of Lyapunov function, analysis was performed and conditions for extinction and persistence of the disease based on the stochastic co-infection model were derived. Particularly, we discuss the dynamics of the stochastic model around the disease-free state. Similarly, we obtain the conditions that fluctuate at the disease endemic state holds if [Formula: see text] . Based on extinction as well as persistence some conditions are established in form of expression containing white noise intensities as well as model parameters. The numerical results have also been used to illustrate our analytical results. Springer Netherlands 2022-09-28 2023 /pmc/articles/PMC9517998/ /pubmed/36193119 http://dx.doi.org/10.1007/s11071-022-07899-1 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Din, Anwarud
Amine, Saida
Allali, Amina
A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title_full A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title_fullStr A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title_full_unstemmed A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title_short A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus
title_sort stochastically perturbed co-infection epidemic model for covid-19 and hepatitis b virus
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517998/
https://www.ncbi.nlm.nih.gov/pubmed/36193119
http://dx.doi.org/10.1007/s11071-022-07899-1
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