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Automatic Outbreak Detection Algorithm versus Electronic Reporting System
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Oct 2008
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Source: Emerg Infect Dis. 14(10):1610-1612
Details:
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Alternative Title:Emerg Infect Dis
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Personal Author:
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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.
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Pubmed ID:18826826
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Pubmed Central ID:PMC2609880
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Volume:14
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Issue:10
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[PDF-85.09 KB]
