Enhancing Time-Series Detection Algorithms for Automated Biosurveillance

Author:

Tokars Jerome I.,Burkom Howard,Xing Jian,English Roseanne,Bloom Steven,Cox Kenneth,Pavlin Julie A.

Publisher

Centers for Disease Control and Prevention (CDC)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

Reference18 articles.

1. Implementing syndromic surveillance: a practical guide informed by early experience.;Mandl;J Am Med Inform Assoc,2004

2. Framework for evaluating public health surveillance systems for early detection of outbreaks; recommendations from the CDC Working Group.;Buehler;MMWR Recomm Rep,2004

3. BioSense. Implementation of a national early event detection and situational awareness system.;Bradley;MMWR Morb Mortal Wkly Rep,2005

4. Centers for Disease Control and Prevention. Syndrome definitions for diseases associated with critical bioterrorism-associated agents, October 23, 2003 [cited 2008 Jan 30]. Available from http://www.bt.cdc.gov/surveillance/syndromedef/index.asp

5. BioSense real-time hospital data user guide, application version 2.11 (November 2007) [cited 2008 Jan 30]. Available from http://www.cdc.gov/biosense/files/CDC_BioSense_BioSense_Hospital_Data_User_Guide_V2.11.pdf

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