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2 results

  • 11 - Syndromic Surveillance

  • from PART II - OPERATIONAL ISSUES
  • Edited by Kristi L. Koenig, University of California, Irvine, Carl H. Schultz, University of California, Irvine
  • Book:
    Koenig and Schultz's Disaster Medicine
    Published online:
    05 August 2011
    Print publication:
    30 September 2009, pp 165-173

  • Summary

    The concept of syndromic surveillance is relatively straightforward, although the proof of concept and/or value is yet to be shown. There are multiple syndromic surveillance systems in use around the globe and even across the U.S. Syndromic surveillance contrasts with the "knowledgeable intermediary" the single clinician who, recognizing that a patient or group of patients arriving for care display an unusual set of signs or symptoms, activates public health authorities. This chapter gives a brief listing of several U.S. surveillance systems, past and present, using a variety of methodologies to achieve certain goals. To add value to any syndromic surveillance system, the addition of nonhuman data might also be useful. There are a variety of mathematical data analysis formulae in place in the extant syndromic surveillance systems. Syndromic surveillance is necessary because of difficulty establishing a diagnosis in a timely manner for human infectious diseases.

  • Poison Control Centers' Role in Glow Product-Related Outbreak Detection: Implications for Comprehensive Surveillance System

  • Alvin F. Chu, Steven M. Marcus, Bruce Ruck
  • Journal:
    Prehospital and Disaster Medicine / Volume 24 / Issue 1 / February 2009
    Published online by Cambridge University Press:
    28 June 2012, pp. 68-72
    Print publication:
    February 2009
  • Introduction:

    The development of syndromic surveillance systems to detect bioterrorist attacks and emerging infectious diseases has become an important and challenging goal to many governmental agencies and healthcare authorities. This study utilized the sharp increase of glow product-related calls to demonstrate the utility of poison ontrol data for early detection of potential outbreaks during the week of Halloween in 2007.

    Methods:

    A review was conducted of the electronic records of exposures reported to the New Jersey Poison Information and Education System NJPIES) Poison Control Hotline from 2002 through 2007 with generic code number 0201027 (glow products) set by the American Association of Poison Control Centers (AAPCC). Key information such as age, gender, time of the call, exposure reason, clinical effects, and medical outcomes along with telephone number, zip code, and county location were used in the analyses to determine the extent of the outbreak.

    Results:

    Analyses included a total of 139 glow product-related calls during the week of Halloween in 2007 with a single-day high of 59 calls on Halloween Day. More than 90% of the glow product exposures were in children 1–10 years of age. The glow product-related calls on Halloween Day increased from 14 calls in 2002 to 59 calls in 2007, a 321% increase during a six-year period.

    Conclusions:

    Poison control centers in the United States are equipped with a unique and uniform input data collection system—the National Poison Data System—that provides an important data source in the development of a comprehensive surveillance system for early outbreak detection.