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

12 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)18-28
Number of pages11
JournalIEEE Computer Graphics and Applications
Volume29
Issue number3
DOIs
StatePublished - 2009
Externally publishedYes

Fingerprint

Emergency rooms
Data structures
Visualization

Keywords

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

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques. / Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Tebbetts, George; Cleveland, William S.; Grannis, Shaun J.; Ebert, David S.

In: IEEE Computer Graphics and Applications, Vol. 29, No. 3, 2009, p. 18-28.

Research output: Contribution to journalArticle

Maciejewski, Ross ; Hafen, Ryan ; Rudolph, Stephen ; Tebbetts, George ; Cleveland, William S. ; Grannis, Shaun J. ; Ebert, David S. / Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques. In: IEEE Computer Graphics and Applications. 2009 ; Vol. 29, No. 3. pp. 18-28.
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