IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i11p1809-d1666965.html
   My bibliography  Save this article

Mathematical Modeling and Analysis of Human-to-Human Transmitted Viral Encephalitis

Author

Listed:
  • Md. Saifur Rahman

    (Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh)

  • Rehena Nasrin

    (Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh)

  • Md. Haider Ali Biswas

    (Mathematics Discipline, Science Engineering and Technology School, Khulna University, Khulna 9208, Bangladesh)

Abstract

Encephalitis, a severe neurological condition caused by human-to-human (H2H) transmitted viruses, such as herpes simplex virus (HSV), requires a rigorous mathematical framework to understand its transmission dynamics. This study develops a nonlinear compartmental model, SEITR (Susceptible–Exposed–Infected–Treated–Recovered), to characterize the progression of viral encephalitis. The basic reproduction number (R 0 ) is derived using the next-generation matrix method, serving as a threshold parameter determining disease persistence. The local and global stability of the disease-free and endemic equilibria are established through a rigorous mathematical analysis. Additionally, a sensitivity analysis quantifies the impact of key parameters on R 0 , offering more profound insights into their mathematical significance. Numerical simulations validate the theoretical results, demonstrating the system’s dynamical behavior under varying epidemiological conditions. This study provides a mathematically rigorous approach to modeling viral encephalitis transmission, filling a gap in the literature and offering a foundation for future research in infectious disease dynamics.

Suggested Citation

  • Md. Saifur Rahman & Rehena Nasrin & Md. Haider Ali Biswas, 2025. "Mathematical Modeling and Analysis of Human-to-Human Transmitted Viral Encephalitis," Mathematics, MDPI, vol. 13(11), pages 1-28, May.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:11:p:1809-:d:1666965
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/11/1809/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/11/1809/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:13:y:2025:i:11:p:1809-:d:1666965. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.