On a Stochastic SEIS Model with Treatment Rate of Latent Population

Joint Authors

Zhang, Yan
Dai, Yanfei
Liu, Yujiang
Gao, Shujing

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-14

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Mathematics

Abstract EN

The asymptotic dynamics of a stochastic SEIS epidemic model with treatment rate of latent population is investigated.

First, we show that the system provides a unique positive global solution starting from the positive initial value.

Then, the long-term asymptotic behavior of the model is studied: if R 0 , which is called the basic reproduction number of the corresponding deterministic model, is not more than unity, the solution of the model is oscillating around the disease-free equilibrium of the corresponding deterministic system, whereas if R 0 is larger than unity, we show how the solution spirals around the endemic equilibrium of deterministic system under certain parametric restrictions.

Finally, numerical simulations are carried out to support our theoretical findings.

American Psychological Association (APA)

Gao, Shujing& Dai, Yanfei& Zhang, Yan& Liu, Yujiang. 2014. On a Stochastic SEIS Model with Treatment Rate of Latent Population. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1034075

Modern Language Association (MLA)

Gao, Shujing…[et al.]. On a Stochastic SEIS Model with Treatment Rate of Latent Population. Abstract and Applied Analysis No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-1034075

American Medical Association (AMA)

Gao, Shujing& Dai, Yanfei& Zhang, Yan& Liu, Yujiang. On a Stochastic SEIS Model with Treatment Rate of Latent Population. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1034075

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1034075