IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3357763.html
   My bibliography  Save this article

Exploring Immune Responses through Dynamic Modeling of Cell-Immune Interactions in Viral Infection and Vaccination

Author

Listed:
  • Kwang Su Kim
  • Il Hyo Jung
  • Jong Hyuk Byun
  • Siew Ann Cheong

Abstract

Infectious diseases pose a significant threat to global health, necessitating the development of effective vaccination strategies. This study examines the dynamics of viral infections and immune responses, with a particular focus on the roles of antibodies and CD8+ T cells induced by vaccination. Through a mathematical model, we explore the intricate interactions between host cells and viruses to assess the impact of vaccination on viral replication. Our findings align with experimental results, demonstrating that vaccination substantially enhances immune responses and reduces viral replication. The contributions of both antibody and CD8+ T cell responses are shown to be vital for achieving optimal vaccine efficacy. The model’s predictions, validated against experimental observations, emphasize the need to incorporate mechanisms that induce robust immune responses in vaccine design. This study underscores the critical role of mathematical modeling in understanding immune dynamics and in refining vaccination strategies to develop more effective treatments against viral infections.

Suggested Citation

  • Kwang Su Kim & Il Hyo Jung & Jong Hyuk Byun & Siew Ann Cheong, 2024. "Exploring Immune Responses through Dynamic Modeling of Cell-Immune Interactions in Viral Infection and Vaccination," Complexity, Hindawi, vol. 2024, pages 1-10, September.
  • Handle: RePEc:hin:complx:3357763
    DOI: 10.1155/2024/3357763
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2024/3357763.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2024/3357763.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2024/3357763?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:complx:3357763. 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.