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...

Descripción completa

Detalles Bibliográficos
Autores principales: Straetemans, Masja, Altmann, Doris, Eckmanns, Tim, Krause, Gérard
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2008
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2609880/
https://www.ncbi.nlm.nih.gov/pubmed/18826826
http://dx.doi.org/10.3201/eid1410.071354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2609880/
https://www.ncbi.nlm.nih.gov/pubmed/18826826
http://dx.doi.org/10.3201/eid1410.071354

Ejemplares similares