A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate
Abstract The stochastic SEIR infectious diseases model with saturated incidence rate is studied in this paper. By constructing appropriate Lyapunov functions, we show that there is a stationary distribution for the system and the ergodicity holds provided $${R}_{0}^{s}$$ R 0 s > 1. In particular...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1dae55032ffc488eb81fd24ea0e72447 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:1dae55032ffc488eb81fd24ea0e72447 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:1dae55032ffc488eb81fd24ea0e724472021-12-02T16:06:06ZA note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate10.1038/s41598-017-03858-82045-2322https://doaj.org/article/1dae55032ffc488eb81fd24ea0e724472017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03858-8https://doaj.org/toc/2045-2322Abstract The stochastic SEIR infectious diseases model with saturated incidence rate is studied in this paper. By constructing appropriate Lyapunov functions, we show that there is a stationary distribution for the system and the ergodicity holds provided $${R}_{0}^{s}$$ R 0 s > 1. In particular, we improve the results obtained by previous studies greatly, condition in our Theorem is more concise and elegant.Qixing HanLiang ChenDaqing JiangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Qixing Han Liang Chen Daqing Jiang A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
description |
Abstract The stochastic SEIR infectious diseases model with saturated incidence rate is studied in this paper. By constructing appropriate Lyapunov functions, we show that there is a stationary distribution for the system and the ergodicity holds provided $${R}_{0}^{s}$$ R 0 s > 1. In particular, we improve the results obtained by previous studies greatly, condition in our Theorem is more concise and elegant. |
format |
article |
author |
Qixing Han Liang Chen Daqing Jiang |
author_facet |
Qixing Han Liang Chen Daqing Jiang |
author_sort |
Qixing Han |
title |
A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
title_short |
A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
title_full |
A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
title_fullStr |
A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
title_full_unstemmed |
A note on the stationary distribution of stochastic SEIR epidemic model with saturated incidence rate |
title_sort |
note on the stationary distribution of stochastic seir epidemic model with saturated incidence rate |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/1dae55032ffc488eb81fd24ea0e72447 |
work_keys_str_mv |
AT qixinghan anoteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate AT liangchen anoteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate AT daqingjiang anoteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate AT qixinghan noteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate AT liangchen noteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate AT daqingjiang noteonthestationarydistributionofstochasticseirepidemicmodelwithsaturatedincidencerate |
_version_ |
1718385074177572864 |