title: Automatic outbreak detection algorithm versus electronic reporting system.
abstract: 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 predictive value than did AODAs.
authors.affiliation: Robert Koch Institute, Berlin, Germany. straetemansm@kncvtbc.nl
authors.forename: Masja
authors.initials: M
authors.lastname: Straetemans
authors.forename: Doris
authors.initials: D
authors.lastname: Altmann
authors.forename: Tim
authors.initials: T
authors.lastname: Eckmanns
authors.forename: Gérard
authors.initials: G
authors.lastname: Krause
mesh_terms: D000465:Algorithms; D017250:Caliciviridae Infections / Q000453:epidemiology; D002169:Campylobacter Infections / Q000453:epidemiology; D018563:Disease Notification / Q000706:statistics & numerical data*; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005759:Gastroenteritis / Q000453:epidemiology; D005858:Germany / Q000453:epidemiology; D006801:Humans; D029322:Norovirus; D011159:Population Surveillance / Q000379:methods*