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Activity Number:
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34
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305792 |
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Title:
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Modeling Clinical Symptoms as Predictors for Influenza: A Useful Tool for Primary Care Providers
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Author(s):
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Hector Lemus*+ and Tabitha Zimmerman
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Companies:
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San Diego State University and Naval Health Research Center
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Address:
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Graduate School of Public Health, San Diego, CA, 92182-4162,
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Keywords:
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multivariate analysis ; influenza ; logistic ; biomedical
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Abstract:
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Early and accurate identification of influenza would facilitate timely administration of antivirals for reduced morbidity and mortality, decreased inappropriate antibiotic use and laboratory testing, appropriate management of at-risk contacts by chemoprophylaxis or separation, enhanced surveillance, and improved ability for providers and public health officials to decrease transmission. In the absence of diagnostic assays that are both rapid and highly accurate, a reliable model for predicting influenza infection based on clinical and demographic parameters alone could be immensely valuable to clinicians and the public health community. This paper will explore the relationships between demographic/clinical parameters and the diagnosis of influenza among military beneficiaries with an aim to generate such a model.
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