Emerging infectious diseases, 2008-10, Vol.14 (10), p.1610-1612
2008
Details
- Autor(en) / Beteiligte
- Titel
- Automatic outbreak detection algorithm versus electronic reporting system
- Ist Teil von
- Emerging infectious diseases, 2008-10, Vol.14 (10), p.1610-1612
- Ort / Verlag
- United States: U.S. National Center for Infectious Diseases
- Erscheinungsjahr
- 2008
- Link zum Volltext
- Quelle
- EZB Free E-Journals
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1080-6040eISSN: 1080-6059DOI: 10.3201/eid1410.071354Titel-ID: cdi_doaj_primary_oai_doaj_org_article_80c530e9e460414b96c3c2ce4fc72766
- Format
- –
- Schlagworte
- Algorithms, Biological and medical sciences, Caliciviridae Infections - epidemiology, Campylobacter, Campylobacter Infections - epidemiology, communicable disease control, Disease Notification - statistics & numerical data, Disease Outbreaks - statistics & numerical data, Dispatch, Distribution, Gastroenteritis - epidemiology, Genetic algorithms, Germany - epidemiology, Health aspects, Humans, infectious disease reporting, Medical sciences, Miscellaneous, Norovirus, outbreaks, Population Surveillance - methods, Public health. Hygiene, Public health. Hygiene-occupational medicine