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Issue No.03 - May/June (2009 vol.29)
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
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert, "Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques", IEEE Computer Graphics and Applications, vol.29, no. 3, pp. 18-28, May/June 2009, doi:10.1109/MCG.2009.43
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