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A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate
The current study deals with the stochastic reaction–diffusion epidemic model numerically with two proposed schemes. Such models have many applications in the disease dynamics of wildlife, human life, and others. During the last decade, it is observed that the epidemic models cannot predict the accu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121429/ https://www.ncbi.nlm.nih.gov/pubmed/37124343 http://dx.doi.org/10.1140/epjp/s13360-023-03936-z |
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author | Ahmed, Nauman Yasin, Muhammad Waqas Iqbal, Muhammad Sajid Raza, Ali Rafiq, Muhammad Inc, Mustafa |
author_facet | Ahmed, Nauman Yasin, Muhammad Waqas Iqbal, Muhammad Sajid Raza, Ali Rafiq, Muhammad Inc, Mustafa |
author_sort | Ahmed, Nauman |
collection | PubMed |
description | The current study deals with the stochastic reaction–diffusion epidemic model numerically with two proposed schemes. Such models have many applications in the disease dynamics of wildlife, human life, and others. During the last decade, it is observed that the epidemic models cannot predict the accurate behavior of infectious diseases. The empirical data gained about the spread of the disease shows non-deterministic behavior. It is a strong challenge for researchers to consider stochastic epidemic models. The effect of the stochastic process is analyzed. So, the SIR epidemic model is considered under the influence of the stochastic process. The time noise term is taken as the stochastic source. The coefficient of the stochastic term is a Borel function, and it is used to control the random behavior in the solutions. The proposed stochastic backward Euler scheme and the proposed stochastic implicit finite difference scheme (IFDS) are used for the numerical solution of the underlying model. Both schemes are consistent in the mean square sense. The stability of the schemes is proven with Von-Neumann criteria and schemes are unconditionally stable. The proposed stochastic backward Euler scheme converges toward a disease-free equilibrium and does not converge toward an endemic equilibrium but also possesses negative behavior. The proposed stochastic IFD scheme converges toward disease-free equilibrium and endemic equilibrium. This scheme also preserves positivity. The graphical behavior of the stochastic SIR model is much similar to the classical SIR epidemic model when noise strength approaches zero. The three-dimensional plots of the susceptible and infected individuals are drawn for two cases of endemic equilibrium and disease-free equilibriums. The efficacy of the proposed scheme is shown in the graphical behavior of the test problem for the various values of the parameters. |
format | Online Article Text |
id | pubmed-10121429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101214292023-04-24 A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate Ahmed, Nauman Yasin, Muhammad Waqas Iqbal, Muhammad Sajid Raza, Ali Rafiq, Muhammad Inc, Mustafa Eur Phys J Plus Regular Article The current study deals with the stochastic reaction–diffusion epidemic model numerically with two proposed schemes. Such models have many applications in the disease dynamics of wildlife, human life, and others. During the last decade, it is observed that the epidemic models cannot predict the accurate behavior of infectious diseases. The empirical data gained about the spread of the disease shows non-deterministic behavior. It is a strong challenge for researchers to consider stochastic epidemic models. The effect of the stochastic process is analyzed. So, the SIR epidemic model is considered under the influence of the stochastic process. The time noise term is taken as the stochastic source. The coefficient of the stochastic term is a Borel function, and it is used to control the random behavior in the solutions. The proposed stochastic backward Euler scheme and the proposed stochastic implicit finite difference scheme (IFDS) are used for the numerical solution of the underlying model. Both schemes are consistent in the mean square sense. The stability of the schemes is proven with Von-Neumann criteria and schemes are unconditionally stable. The proposed stochastic backward Euler scheme converges toward a disease-free equilibrium and does not converge toward an endemic equilibrium but also possesses negative behavior. The proposed stochastic IFD scheme converges toward disease-free equilibrium and endemic equilibrium. This scheme also preserves positivity. The graphical behavior of the stochastic SIR model is much similar to the classical SIR epidemic model when noise strength approaches zero. The three-dimensional plots of the susceptible and infected individuals are drawn for two cases of endemic equilibrium and disease-free equilibriums. The efficacy of the proposed scheme is shown in the graphical behavior of the test problem for the various values of the parameters. Springer Berlin Heidelberg 2023-04-22 2023 /pmc/articles/PMC10121429/ /pubmed/37124343 http://dx.doi.org/10.1140/epjp/s13360-023-03936-z Text en © The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) 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 | Regular Article Ahmed, Nauman Yasin, Muhammad Waqas Iqbal, Muhammad Sajid Raza, Ali Rafiq, Muhammad Inc, Mustafa A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title | A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title_full | A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title_fullStr | A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title_full_unstemmed | A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title_short | A dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
title_sort | dynamical study on stochastic reaction diffusion epidemic model with nonlinear incidence rate |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121429/ https://www.ncbi.nlm.nih.gov/pubmed/37124343 http://dx.doi.org/10.1140/epjp/s13360-023-03936-z |
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