IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-46306-9_23.html
   My bibliography  Save this book chapter

Modelling Therapeutic Vaccines

In: Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment

Author

Listed:
  • Elaheh Abdollahi

    (York University, Agent-Based Modelling Laboratory)

  • Affan Shoukat

    (Yale School of Public Health, Center for Infectious Disease Modeling and Analysis)

  • Seyed M. Moghadas

    (York University, Agent-Based Modelling Laboratory)

Abstract

Prophylactic vaccines have dramatically reduced the worldwide burden of many vaccine-preventable diseases. However, several diseases, including cancer, autoimmune diseases, Alzheimer’s, and some infectious diseases, continue to cause significant morbidity, mortality, and socioeconomic upheavals. Therapeutic vaccines in clinical development appear promising in curbing the burden of such diseases. The projected number of therapeutic vaccines in the current pipeline highlights the need for, and importance of, systematic and targeted efforts to assess the impact of these vaccines. Mathematical and computational modelling has proven a powerful tool for evaluating the outcomes of vaccination and projecting short- and long-term disease dynamics. In this work, we describe the role of modelling in the context of therapeutic vaccines and develop simple models for three infectious diseases (i.e., Herpes simplex virus—type 2, Clostridium difficile infection, and Tuberculosis) to illustrate their potential for vaccine evaluation in future studies.

Suggested Citation

  • Elaheh Abdollahi & Affan Shoukat & Seyed M. Moghadas, 2020. "Modelling Therapeutic Vaccines," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment, pages 381-394, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-46306-9_23
    DOI: 10.1007/978-3-030-46306-9_23
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-46306-9_23. 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.