Detection of an Influenza Epidemic Using an Electronic Medical Record-Based Bioterrorism Surveillance System During the 2002 Winter Olympics
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2003/06/01
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Description:Surveillance has traditionally, though inefficiently, relied upon paper records and phone calls from physicians. The 2002 Winter Olympics provided an opportunity to implement a bioterrorism surveillance system using an electronic medical record (EMR). This EMR allowed for daily updates of diagnoses. Statistical process control was used to monitor daily ICD-9 coded diagnoses across a clinic system (approximately 100,000) for syndromic patterns of disease consistent with bioterrorism or natural epidemics. An influenza epidemic was identified in January 2002. A significant proportion of cases (rapid test positive) were unexpectedly affected by nausea (16.6%), vomiting (17.9%) and diarrhea (4.9%) that may have resulted in additional cases with significant gastrointestinal symptoms remaining undiagnosed. Subsequent analyses of the prior influenza season found still higher prevalences of nausea (31.1 %) and vomiting (24.4%) in those testing positive. Additionally, antiviral prescriptions were significantly greater in 2002 than 2001 (52.4% vs. 17.8%, p<0.05), likely augmented in part by real-time feedback !O clinicians. However, rapid testing of high probability cases decreased substantially in 2002 (Odds ratio = 0.35, 95% CI = 0.25, 0.50), suggesting greater reliance on clinical diagnosis. Improved outbreak surveillance in the future using such systems appears promising for both major events and routine communicable diseases. [Description provided by NIOSH]
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ISSN:0002-9262
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Volume:157
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Issue:11
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NIOSHTIC Number:nn:20037576
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Citation:Am J Epidemiol 2003 Jun; 157(11)(Suppl):S50
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Federal Fiscal Year:2003
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Performing Organization:University of Utah
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Peer Reviewed:False
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Start Date:20050701
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Source Full Name:American Journal of Epidemiology
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Supplement:Suppl
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End Date:20280630
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Main Document Checksum:urn:sha-512:7e137986a7f7be1998d11b13bc05a4facbe766989bce6cdb657af2af6248954adacd29887fbd457520308483da685059ea6f30acb08df4ff2a7d797536442e84
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