Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques

Abstract

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.

DOI: 10.1109/MCG.2009.43

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@article{Maciejewski2009GeneratingSS, title={Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques}, author={Ross Maciejewski and Ryan Hafen and Stephen Rudolph and George Tebbetts and William S. Cleveland and Shaun J. Grannis and David S. Ebert}, journal={IEEE Computer Graphics and Applications}, year={2009}, volume={29} }