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

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 - May 8 2009
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques'. Together they form a unique fingerprint.

  • Cite this