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BioSense: implementation of a National Early Event Detection and Situational Awareness System
Colleen A Bradley1, H Rolka, D Walker
1National Center for Public Health Informatics, CDC, Atlanta, GA 30333, USA. Cbradley1@cdc.gov
MMWR Supplements
|September 24, 2005
Summary
The BioSense initiative enhances public health surveillance for early detection of biologic threats. It provides national data analysis and visualization to support state and local health officials in event detection and situational awareness.
Area of Science:
- Public Health Surveillance
- Biosecurity
- Epidemiology
Background:
- The Centers for Disease Control and Prevention (CDC) launched BioSense to improve national capabilities for detecting public health emergencies.
- Existing surveillance systems required enhancement for near real-time data analysis and reporting.
Purpose of the Study:
- To establish an infrastructure for early detection, quantification, and localization of biologic terrorism and other public health threats.
- To provide state and local public health officials with advanced tools for event detection and situational awareness.
Main Methods:
- BioSense collects and analyzes clinical diagnoses, procedures, and laboratory test orders from the Department of Defense, Department of Veterans Affairs, and Laboratory Corporation of America.
- Data are summarized and visualized by source, day, and syndrome for geographic areas (ZIP code, state, metropolitan).
- A proof-of-concept evaluation was conducted, followed by user recruitment, training, and ongoing support for state and local health departments.
Main Results:
- The system provides near real-time reporting and analytic evaluation capabilities.
- Data visualizations through maps, graphs, and tables enhance understanding of public health data.
- The BioIntelligence Center (BIC) was established for daily internal monitoring and support of national BioSense data.
Conclusions:
- BioSense significantly advances early event detection and situational awareness for public health emergencies.
- Continued investment in data management, algorithm development, and regional/state/local data is crucial.
- Focus remains on supporting state and local public health needs for effective response.