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

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 res...

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Bibliographic Details
Published inIEEE computer graphics and applications Vol. 29; no. 3; pp. 18 - 28
Main Authors Maciejewski, R., Hafen, R., Rudolph, S., Tebbetts, G., Cleveland, W.S., Grannis, S.J., Ebert, D.S.
Format Magazine Article
LanguageEnglish
Published United States IEEE 01.05.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Computer Graphics
Computer Simulation
Control systems
Databases, Factual
Decision Support Techniques
Demography
Emergencies
Event detection
Hospitals
Information analysis
Information Storage and Retrieval - methods
Models, Theoretical
Outbreaks
Patients
Population Surveillance - methods
Signal analysis
Signal generators
Spatiotemporal phenomena
Syndrome
syndromic surveillance
synthetic data
Testing
Time series analysis
Trends
User-Computer Interface
visual analytics
Visualization
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Summary: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.
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ISSN:0272-1716
1558-1756
DOI:10.1109/MCG.2009.43