Paper
7 May 2012 An overview of suite for automated global electronic biosurveillance (SAGES)
Sheri L. Lewis, Brian H. Feighner, Wayne A. Loschen, Richard A. Wojcik, Joseph F. Skora, Jacqueline S. Coberly, David L. Blazes
Author Affiliations +
Abstract
Public health surveillance is undergoing a revolution driven by advances in the field of information technology. Many countries have experienced vast improvements in the collection, ingestion, analysis, visualization, and dissemination of public health data. Resource-limited countries have lagged behind due to challenges in information technology infrastructure, public health resources, and the costs of proprietary software. The Suite for Automated Global Electronic bioSurveillance (SAGES) is a collection of modular, flexible, freely-available software tools for electronic disease surveillance in resource-limited settings. One or more SAGES tools may be used in concert with existing surveillance applications or the SAGES tools may be used en masse for an end-to-end biosurveillance capability. This flexibility allows for the development of an inexpensive, customized, and sustainable disease surveillance system. The ability to rapidly assess anomalous disease activity may lead to more efficient use of limited resources and better compliance with World Health Organization International Health Regulations.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sheri L. Lewis, Brian H. Feighner, Wayne A. Loschen, Richard A. Wojcik, Joseph F. Skora, Jacqueline S. Coberly, and David L. Blazes "An overview of suite for automated global electronic biosurveillance (SAGES)", Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 837114 (7 May 2012); https://doi.org/10.1117/12.944300
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Cited by 1 scholarly publication.
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KEYWORDS
Surveillance

Surveillance systems

Visualization

Visual analytics

Databases

Data modeling

Information technology

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