Automatic Outbreak Detection Algorithm versus Electronic Reporting System

Automatic Outbreak Detection Algorithm versus Electronic Reporting System

To determine efficacy of automatic outbreak detection algorithms (AODAs), we analyzed 3,582 AODA signals and 4,427 reports of outbreaks caused by Campylobacter spp. or norovirus during 2005–2006 in Germany. Local health departments reported local outbreaks with higher sensitivity and positive predic...

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Bibliographic Details
Main Authors: Masja Straetemans, Doris Altmann, Tim Eckmanns, Gérard Krause
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2008-10-01
Series:Emerging Infectious Diseases
Subjects:
infectious disease reporting
communicable disease control
algorithms
outbreaks
campylobacter
norovirus
Online Access:https://wwwnc.cdc.gov/eid/article/14/10/07-1354_article

Internet

https://wwwnc.cdc.gov/eid/article/14/10/07-1354_article

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