Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques

Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert

Research output: Contribution to journalArticle

15 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)18-28
Number of pages11
JournalIEEE Computer Graphics and Applications
Issue number3
StatePublished - May 8 2009



  • Computer graphics
  • Syndromic surveillance
  • Synthetic data
  • Visual analytics

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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