Movatterモバイル変換


[0]ホーム

URL:


Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
Thehttps:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

NIH NLM Logo
Log inShow account info
Access keysNCBI HomepageMyNCBI HomepageMain ContentMain Navigation
pubmed logo
Advanced Clipboard
User Guide

Full text links

MDPI full text link MDPI Free PMC article
Full text links

Actions

Share

.2018 May 17;20(5):376.
doi: 10.3390/e20050376.

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

Affiliations

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

Xiaofeng Han et al. Entropy (Basel)..

Abstract

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.

Keywords: Stochastic SEIR model; permanence in mean; stationary distribution; vaccination; varying population size.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Time sequence diagram of system (6) for extinctions of the exposed and infective individuals.
Figure 2
Figure 2
Time sequence diagram of system (6) for permanence in mean of the infective individuals.
Figure 3
Figure 3
(ac) represent the solutions of system (6); (de) stand for the density functions ofs˜(t),e˜(t) andi˜(t), respectively.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Kermack W.O., McKendrick A.G. Contributions to the mathematical theory of epidemics-I. Bull. Math. Biol. 1991;53:33–55. - PubMed
    1. Cai Y., Kang Y., Banerjee M., Wang W. A stochastic SIRS epidemic model with infectious force under intervention strategies. J. Differ. Equat. 2015;259:7463–7502. doi: 10.1016/j.jde.2015.08.024. - DOI
    1. Sun G., Jusup M., Jin Z., Wang Y., Wang Z. Pattern transitions in spatial epidemics: Mechanisms and emergent properties. Phys. Life. Rev. 2016;19:43–73. doi: 10.1016/j.plrev.2016.08.002. - DOI - PMC - PubMed
    1. Zhang T., Meng X., Zhang T. Global analysis for a delayed SIV model with direct and environmental transmissions. J. Appl. Anal. Comput. 2016;6:479–491.
    1. Zhou L., Fan M. Dynamics of an SIR epidemic model with limited medical resources revisited. Nonlinear Anal. Real World Appl. 2012;13:312–324. doi: 10.1016/j.nonrwa.2011.07.036. - DOI

Grants and funding

LinkOut - more resources

Full text links
MDPI full text link MDPI Free PMC article
Cite
Send To

NCBI Literature Resources

MeSHPMCBookshelfDisclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.


[8]ページ先頭

©2009-2025 Movatter.jp