IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v51y2000i6d10.1057_palgrave.jors.2600929.html
   My bibliography  Save this article

A simulation model of the spread of Hepatitis C within a closed cohort

Author

Listed:
  • D Mather

    (Monash University)

Abstract

Many of the epidemics that have been given much publicity in recent years such as AIDS and hepatitis C, are caused by blood borne viruses. Most of these diseases cause long term illnesses and can often be fatal. Apart from the loss of life, the disease phase also makes considerable demands on the health system. As these viruses are spread through direct contact between individuals, changing the factors that contribute to their transmission may be useful in controlling the epidemics. This paper presents a simulation model of the spread of blood borne viruses that can be used to evaluate the effects of such influences. The model is applied to the spread of the hepatitis C virus and is validated using published results from a cohort study of injecting drug users.

Suggested Citation

  • D Mather, 2000. "A simulation model of the spread of Hepatitis C within a closed cohort," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(6), pages 656-665, June.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:6:d:10.1057_palgrave.jors.2600929
    DOI: 10.1057/palgrave.jors.2600929
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2600929
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2600929?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mauro Bampo & Michael T. Ewing & Dineli R. Mather & David Stewart & Mark Wallace, 2008. "The Effects of the Social Structure of Digital Networks on Viral Marketing Performance," Information Systems Research, INFORMS, vol. 19(3), pages 273-290, September.

    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:pal:jorsoc:v:51:y:2000:i:6:d:10.1057_palgrave.jors.2600929. 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.palgrave-journals.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.