TY - JOUR AU - Straetemans, Masja AU - Altmann, Doris AU - Eckmanns, Tim AU - Krause, Gérard T1 - Automatic Outbreak Detection Algorithm versus Electronic Reporting System T2 - Emerging Infectious Disease journal PY - 2008 VL - 14 IS - 10 SP - 1610 SN - 1080-6059 AB - 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. KW - infectious disease reporting KW - communicable disease control KW - algorithms KW - outbreaks KW - campylobacter KW - norovirus KW - surveillance KW - automatic data processing KW - signal detection KW - emerging KW - dispatch KW - Germany DO - 10.3201/eid1410.071354 UR - https://wwwnc.cdc.gov/eid/article/14/10/07-1354_article ER - End of Reference