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Issue No. 03 - May/June (2009 vol. 29)
ISSN: 0272-1716
pp: 18-28
Ross Maciejewski , Purdue University
Ryan Hafen , Purdue University
Stephen Rudolph , Purdue University
George Tebbetts , Purdue University
William S. Cleveland , Purdue University
Shaun J. Grannis , Indiana University
David S. Ebert , Purdue University
This system generates synthetic syndromic-surveillance data for evaluating visualization and visual-analytics techniques. Modeling data from emergency room departments, the system generates two years of patient data, into which system users can inject spatiotemporal disease outbreak signals. The result is a data set with known seasonal trends and irregular outbreak patterns.
computer graphics, visual analytics, syndromic surveillance, synthetic data

W. S. Cleveland et al., "Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques," in IEEE Computer Graphics and Applications, vol. 29, no. , pp. 18-28, 2009.
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