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Activity Number:
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288
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Type:
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Contributed
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Date/Time:
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Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307246 |
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Title:
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Identifying Risk Factors for Encephalitis from West Nile Virus Infection Using Scan Statistics
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Author(s):
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Sarah Baraniuk*+ and Kristy Lillibridge
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Companies:
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The University of Texas School of Public Health and The University of Texas School of Public Health
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Address:
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1200 Herman Pressler, Houston, TX, 77030,
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Keywords:
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scan statistics ; logistic regression ; West Nile virus
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Abstract:
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While logistic regression provides reasonable methods for identifying risk factors, scan statistics allow us to identify possible temporal or geographical risk factors. The motivation for this work stems from a retrospective medical chart review completed on 172 confirmed West Nile virus (WNV) cases that were hospitalized in Houston between 2002 and 2004. The risk factors for developing encephalitis from WNV have not been clearly identified (with the exception of advanced age). It was found that of the 172 cases 113 were found to have encephalitis, 47 had meningitis and 12 were uncomplicated fever cases. A multiple logistic regression model identified various risk factors and scan statistics were used to assess the statistical significance of the clusters of WNV cases recorded.
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