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Related Experiment Videos

A software tool for creating simulated outbreaks to benchmark surveillance systems.

Christopher A Cassa1, Karin Iancu, Karen L Olson

  • 1Children's Hospital Informatics Program, Children's Hospital Boston, Boston, MA 02115, USA. cassa@mit.edu

BMC Medical Informatics and Decision Making
|July 16, 2005
PubMed
Summary

The AEGIS Cluster Creation Tool (AEGIS-CCT) generates realistic simulated disease outbreak data for evaluating bioterrorism surveillance systems. This open-source software aids in benchmarking detection algorithms using semi-synthetic datasets.

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Area of Science:

  • Public Health Informatics
  • Computational Epidemiology
  • Biosecurity Surveillance

Background:

  • Evaluating bioterrorism surveillance is difficult for rare events.
  • Semi-synthetic datasets with artificial clusters aid performance benchmarking.

Purpose of the Study:

  • To introduce the AEGIS Cluster Creation Tool (AEGIS-CCT) for generating simulated disease outbreak data.
  • To enable controlled creation of artificial patient clusters for benchmarking.

Main Methods:

  • AEGIS-CCT creates simulated clusters with adjustable radius, density, and temporal patterns.
  • The tool is open-source, Java-based, and does not require external GIS software.
  • Automated processes generate multiple cluster files by varying parameters.

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Main Results:

  • AEGIS-CCT accurately and uniformly created simulated clusters based on user parameters.
  • Graphical rendering confirmed the tool's output quality.

Conclusions:

  • AEGIS-CCT facilitates the creation of datasets for benchmarking outbreak detection systems.
  • The tool supports automated testing and validation of spatial and temporal cluster detection algorithms.