Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
Abstract
Public health surveillance is the monitoring of data to detect and quantify unusual health events. Monitoring pre-diagnostic data, such as emergency department (ED) patient chief complaints, enables rapid detection of disease outbreaks. There are many sources of variation in such data; statistical methods need to accurately model them as a basis for timely and accurate disease outbreak methods. Our new methods for modeling daily chief complaint...
Paper Details
Title
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
Published Date
Apr 21, 2009
Volume
9
Issue
1
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