Automatic Outbreak Detection Algorithm versus Electronic Reporting System

Straetemans, Masja; Altmann, Doris; Eckmanns, Tim; Krause, Gérard

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Automatic Outbreak Detection Algorithm versus Electronic Reporting System

Supporting Files Public Domain

Oct 2008
By Straetemans, Masja ; Altmann, Doris ; Eckmanns, Tim ; ...

File Language:

English

Details

Alternative Title:

Emerg Infect Dis
Personal Author:

Straetemans, Masja ; Altmann, Doris ; Eckmanns, Tim ; Krause, Gérard
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
Volume:

14
Issue:

10
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:

[PDF - 85.09 KB ]

File Language:

English

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