IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i1d10.1007_s11135-024-01975-x.html
   My bibliography  Save this article

Mathematical model of COVID-19 dynamics in the presence of multiple controls

Author

Listed:
  • J. O. Akanni

    (Koladaisi University
    Universitas Airlangga)

  • Fatmawati

    (Universitas Airlangga)

  • S. Ajao

    (Elizade University)

  • J. K. K. Asamoah

    (Saveetha School of Engineering SIMATS
    Kwame Nkrumah University of Science and Technology)

  • S. F. Abimbade

    (Ladoke Akintola University of Technology)

Abstract

The coronavirus disease 19 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2), is an infectious disease constituting the most significant challenge to human and socio-economic development across the globe. Many studies have been conducted to gain more knowledge on the dynamic spread of SARS-COV-2 in the community of people. In this study, a new mathematical model made up of a system of non-linear ODEs is designed and meticulously analyzed to understand the dynamics of transmission of COVID-19. Specific necessary properties exhibited by the COVID-19 model are examined through the theory of non-negativity and boundedness of solutions. The threshold parameter measuring the invasion potential of COVID-19 in the population is worked out by employing the Next Generation Matrix approach. The model is shown to have two endemic equilibria whenever basic reproduction number $$\mathcal {R}_{0}

Suggested Citation

  • J. O. Akanni & Fatmawati & S. Ajao & J. K. K. Asamoah & S. F. Abimbade, 2025. "Mathematical model of COVID-19 dynamics in the presence of multiple controls," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 261-290, February.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:1:d:10.1007_s11135-024-01975-x
    DOI: 10.1007/s11135-024-01975-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-01975-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-024-01975-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:qualqt:v:59:y:2025:i:1:d:10.1007_s11135-024-01975-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.