IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-0-387-35209-1_9.html
   My bibliography  Save this book chapter

Evaluating Statistical Methods for Syndromic Surveillance

In: Statistical Methods in Counterterrorism

Author

Listed:
  • Michael A. Stoto

    (RAND Statistics Group)

  • Ronald D. Fricker Jr.

    (Naval Postgraduate School, Department of Operations Research)

  • Arvind Jain

    (RAND Statistics Group)

  • Alexis Diamond

    (Harvard University, The Institute for Quantitative Social Science)

  • John O. Davies-Cole

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • Chevelle Glymph

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • Gebreyesus Kidane

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • Garrett Lum

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • LaVerne Jones

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • Kerda Dehan

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

  • Christine Yuan

    (District of Columbia Department of Health, Bureau of Epidemiology and Health Risk Assessment)

Abstract

No abstract is available for this item.

Suggested Citation

  • Michael A. Stoto & Ronald D. Fricker Jr. & Arvind Jain & Alexis Diamond & John O. Davies-Cole & Chevelle Glymph & Gebreyesus Kidane & Garrett Lum & LaVerne Jones & Kerda Dehan & Christine Yuan, 2006. "Evaluating Statistical Methods for Syndromic Surveillance," Springer Books, in: Alyson G. Wilson & Gregory D. Wilson & David H. Olwell (ed.), Statistical Methods in Counterterrorism, pages 141-172, Springer.
  • Handle: RePEc:spr:sprchp:978-0-387-35209-1_9
    DOI: 10.1007/0-387-35209-0_9
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-0-387-35209-1_9. 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.