Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Straetemans, Masja ; Altmann, Doris ; Eckmanns, Tim ; Krause, Gérard
Straetemans, Masja ; Altmann, Doris ; Eckmanns, Tim ; Krause, Gérard Less -
Description:
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.
Subjects:
[+]
Algorithms Caliciviridae Infections Campylobacter Infections Disease Notification Disease Outbreaks Gastroenteritis Humans Norovirus Population Surveillance
Source:
Emerg Infect Dis. 14(10):1610-1612
Pubmed ID:
18826826
Pubmed Central ID:
PMC2609880
Document Type:
Journal Article
Place as Subject:
Germany
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:0589e91ab57c0168fed63b4ffa1a96a18a35263e8505ae2cddecffd2cfc97ecd
Download URL:
https://stacks.cdc.gov/view/cdc/17082/cdc_17082_DS1.pdf
File Type:

Supporting Files

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