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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.
The code for the new version of OpenESSENCE is now available on GitHub under openessence. Future updates will be getting pushed to this repository. Please send any questions or issues you have to contactSAGES@jhuapl.edu.
A new beta version of OpenESSENCE is available. As a beta 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.