Cargando…

Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size

This paper considers a stochastic susceptible exposed infectious recovered (SEIR) epidemic model with varying population size and vaccination. We aim to study the global dynamics of the reduced nonlinear stochastic proportional differential system. We first investigate the existence and uniqueness o...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Xiaofeng, Li, Fei, Meng, Xinzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512895/
https://www.ncbi.nlm.nih.gov/pubmed/33265467
http://dx.doi.org/10.3390/e20050376
_version_ 1783586262774448128
author Han, Xiaofeng
Li, Fei
Meng, Xinzhu
author_facet Han, Xiaofeng
Li, Fei
Meng, Xinzhu
author_sort Han, Xiaofeng
collection PubMed
description This paper considers a stochastic susceptible exposed infectious recovered (SEIR) epidemic model with varying population size and vaccination. We aim to study the global dynamics of the reduced nonlinear stochastic proportional differential system. We first investigate the existence and uniqueness of global positive solution of the stochastic system. Then the sufficient conditions for the extinction and permanence in mean of the infectious disease are obtained. Furthermore, we prove that the solution of the stochastic system has a unique ergodic stationary distribution under appropriate conditions. Finally, the discussion and numerical simulation are given to demonstrate the obtained results.
format Online
Article
Text
id pubmed-7512895
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75128952020-11-09 Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size Han, Xiaofeng Li, Fei Meng, Xinzhu Entropy (Basel) Article This paper considers a stochastic susceptible exposed infectious recovered (SEIR) epidemic model with varying population size and vaccination. We aim to study the global dynamics of the reduced nonlinear stochastic proportional differential system. We first investigate the existence and uniqueness of global positive solution of the stochastic system. Then the sufficient conditions for the extinction and permanence in mean of the infectious disease are obtained. Furthermore, we prove that the solution of the stochastic system has a unique ergodic stationary distribution under appropriate conditions. Finally, the discussion and numerical simulation are given to demonstrate the obtained results. MDPI 2018-05-17 /pmc/articles/PMC7512895/ /pubmed/33265467 http://dx.doi.org/10.3390/e20050376 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Xiaofeng
Li, Fei
Meng, Xinzhu
Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title_full Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title_fullStr Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title_full_unstemmed Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title_short Dynamics Analysis of a Nonlinear Stochastic SEIR Epidemic System with Varying Population Size
title_sort dynamics analysis of a nonlinear stochastic seir epidemic system with varying population size
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512895/
https://www.ncbi.nlm.nih.gov/pubmed/33265467
http://dx.doi.org/10.3390/e20050376
work_keys_str_mv AT hanxiaofeng dynamicsanalysisofanonlinearstochasticseirepidemicsystemwithvaryingpopulationsize
AT lifei dynamicsanalysisofanonlinearstochasticseirepidemicsystemwithvaryingpopulationsize
AT mengxinzhu dynamicsanalysisofanonlinearstochasticseirepidemicsystemwithvaryingpopulationsize