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 predictive value than did AODAs.
Straetemans
Masja
M
Robert Koch Institute, Berlin, Germany. straetemansm@kncvtbc.nl
Altmann
Doris
D
Eckmanns
Tim
T
Krause
Gérard
G
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*