An Open Source Web Services Toolkit for Event Detection Algorithms

Description: 

As major disease outbreaks are rare, empirical evaluation of statistical methods for outbreak detection requires the use of modified or completely simulated health event data in addition to real data. Comparisons of different techniques will be more reliable when they are evaluated on the same sets of artificial and real data. To this end, we are developing a toolkit for implementing and evaluating outbreak detection methods and exposing this framework via a web services interface.

Primary Topic Areas: 
Original Publication Year: 
2006
Event/Publication Date: 
October, 2006

July 30, 2018

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Email: syndromic@cste.org

 

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