Practical comparison of aberration detection algorithms for biosurveillance systems

Author:

Zhou Hong,Burkom Howard,Winston Carla A.,Dey Achintya,Ajani Umed

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference26 articles.

1. The remarkable adaptability of syndromic surveillance to meet public health needs;Paterson;J. Epidemiol. Glob. Health,2013

2. Role of data aggregation in biosurveillance detection strategies with applications from ESSENCE;Burkom;MMWR Morb. Mortal. Wkly Rep.,2004

3. The bioterrorism preparedness and response Early Aberration Reporting System (EARS);Hutwagner;J. Urban Health,2003

4. Enhancing time-series detection algorithms for automated biosurveillance;Tokars;Emerg. Infect. Dis.,2009

5. Comparing syndromic surveillance detection methods: EARS’ versus a CUSUM-based methodology;Fricker;Stat. Med.,2008

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