IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Simulating disease transmission dynamics at a multi-scale level

Listed author(s):
  • Moshe B Hoshen


    (Department of Physics, University of Liverpool, Liverpool L69 7ZE, UK)

  • Anthony H Burton

    (Vaccines and Biologicals, World Health Organization, Geneva, Switzerland)

  • Themis J V Bowcock

    (Department of Physics, University of Liverpool, Liverpool L69 7ZE, UK)

Registered author(s):

    We present a model of the global spread of a generic human infectious disease using a Monte Carlo micro-simulation with large-scale parallel-processing. This prototype has been constructed and tested on a model of the entire population of the British Isles. Typical results are presented. A microsimulation of this order of magnitude of population simulation has not been previously attained. Further, an efficiency assessment of processor usage indicates that extension to the global scale is feasible. We conclude that the flexible approach outlined provides the framework for a virtual laboratory capable of supporting public health policy making at a variety of spatial scales.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by International Microsimulation Association in its journal International Journal of Microsimulation.

    Volume (Year): 1 (2007)
    Issue (Month): 1 ()
    Pages: 26-34

    in new window

    Handle: RePEc:ijm:journl:v:1:y:2007:i:1:p:26-34
    Contact details of provider: Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ijm:journl:v:1:y:2007:i:1:p:26-34. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jinjing Li)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.