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The Global Emerging Infections Surveillance and Response System (GEIS), a division of the Armed Forces Health Surveillance Center (AFHSC), is committed to enhancing electronic disease surveillance capacity around the world. To this end, they have entered into a robust collaboration with the Johns Hopkins University Applied Physics Laboratory to create the Suite for Automated Global Electronic bioSurveillance (SAGES). SAGES is a collection of modular, flexible, open source software tools for electronic disease surveillance.
A new alpha version of OpenESSENCE for aggregate data collection is available. As an alpha version this release is suitable for testing and evaluation, but is not yet ready for operational use. We would appreciate your feedback on this release at contactSAGES@jhuapl.edu.
Click here for downloading and installation instructions.
A team of scientists from the Johns Hopkins University Applied Physics Laboratory has developed a novel capability to predict the outbreak of infectious diseases. The new method, known as PRISM – Predicting Infectious Disease Scalable Model – extracts relationships among clinical, meteorological, climatic, and socio-political data.
Visit the PRISM web site for more information.
The July 2014 issue of the Johns Hopkins APL Technical Digest focuses on Global Health Surveillance, describing the development, implementation, and adaptation of the SAGES suite of tools; the process of the making the tools open source; and potential new analytic models for early detection of disease outbreak.
View the issue