IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/7073209.html
   My bibliography  Save this article

The Stationary Distribution and Extinction of a Stochastic Five-Dimensional COVID-19 Model

Author

Listed:
  • Ehbal Memet
  • Xamxinur Abdurahman
  • Ahmadjan Muhammadhaji
  • Ahmed Ezzat Matouk

Abstract

This paper investigates a stochastic SEIAIR epidemic model with nonlinear incidence and contacting distance to describe the transmission dynamics of COVID-19. Firstly, we show the global existence of positive solution of the system. Then, using the Lyapunov function method and theory of stochastic analysis, we set out the sufficient conditions of the existence and uniqueness of an ergodic stationary distribution to the stochastic model. Furthermore, we obtain the sufficient condition for extinction of the disease. Finally, we go through some numerical simulations to demonstrate the theoretical results. Our study extends and improves the results of previous studies.

Suggested Citation

  • Ehbal Memet & Xamxinur Abdurahman & Ahmadjan Muhammadhaji & Ahmed Ezzat Matouk, 2024. "The Stationary Distribution and Extinction of a Stochastic Five-Dimensional COVID-19 Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2024, pages 1-20, October.
  • Handle: RePEc:hin:jnddns:7073209
    DOI: 10.1155/2024/7073209
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2024/7073209.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2024/7073209.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2024/7073209?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:7073209. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.