Abstract Details
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Activity Number:
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188
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #313441
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Title:
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Detecting Influenza Epidemics Using Health Surveillance Data
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Author(s):
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Xian Yu*+ and Pankaj Choudhary
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Companies:
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University of Arkansas at Little Rock and University of Texas at Dallas
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Keywords:
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influenza epidemics ;
health surveillance ;
sequential method ;
hospitalization rate
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Abstract:
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Early detection of influenza disease activity can reduce the impact of both seasonal and pandemic influenza. The analysis of surveillance data has many statistical challenges. One way to improve early detection is to monitor the hospitalization rate in surveillance system. Sequential statistical modeling provides a useful framework for analyzing and interpreting surveillance data. Here we present a method of analyzing the surveillance data under a sequential statistical framework that explicitly takes into account the way of infectious disease spreading.
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Authors who are presenting talks have a * after their name.
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