To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
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.
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.
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.
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.
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.
Email your librarian or administrator to recommend adding this to your organisation's collection.