Global Health Surveillance

The Johns Hopkins University Applied Physics Laboratory (APL) Global Health Surveillance program focuses on all phases of the surveillance time line—from prediction of a potential disease outbreak through response and communication efforts. SAGES (Suite for Automated Global Electronic bioSurveillance), which builds on years of experience with the ESSENCE system, is the cornerstone of APL's work in global health diplomacy initiatives. This issue of the Johns Hopkins APL Technical Digest describes the development, implementation, and adaptation of the SAGES suite of tools; the process and challenges of making the tools open source; and potential new analytic models for early detection of disease outbreak.


Global Health Surveillance—Guest Editor's Introduction
Sheri H. Lewis

SAGES Overview: Open-Source Software Tools for Electronic Disease Surveillance in Resource-Limited Settings
Brian H. Feighner, Timothy C. Campbell, Aaron T. Katz, Richard A. Wojcik, Jacqueline S. Coberly, Shraddha V. Patel, Wayne A. Loschen, and Sheri H. Lewis

OpenESSENCE: An Open-Source, Self-Contained Disease Surveillance Software Application for Global Use
Timothy C. Campbell, Charles J. Hodanics, Zarna S. Mistry, Adjoa M. Poku, Gabriel N. Gorelick-Feldman, Colin J. Taylor, Richard A. Wojcik, Jacqueline S. Coberly, Aaron T. Katz, Steven M. Babin, and Sheri H. Lewis

Analytic Biosurveillance Methods for Resource-Limited Settings

Howard S. Burkom, Yevgeniy A. Elbert, Jacqueline S. Coberly, John Mark Velasco, Enrique A. Tayag, and Vito G. Roque Jr.

Development of Mobile Health Capabilities for Remote Data Collection in Resource-Limited Settings
Adjoa M. Poku and Aaron T. Katz

A Tailored Approach to Implementing Open-Source Electronic Disease Surveillance Tools

Shraddha V. Patel

An Overview of Open-Source Software Licenses and the Value of Open-Source Software to Public Health Initiatives
Erin N. Hahn

Releasing Tools for International Disease Surveillance as Open-Source Software: A Case Study
Appendix
Supplemental Tables
Raj J. Ashar

Tweeting Fever: Can Twitter Be Used to Monitor the Incidence of Dengue-Like Illness in the Philippines?
Jacqueline S. Coberly, Clayton R. Fink, Yevgeniy Elbert, In-Kyu Yoon, John Mark Velasco, Agnes D. Tomayao, Vito Roque Jr., Enrique Tayag, Durinda R. Macasocol, and Sheri H. Lewis

Development of the Respiratory Disease Dashboard for the Identification of New and Emerging Respiratory Pathogens
Timothy C. Campbell, Zarna S. Mistry, Gabriel N. Gorelick-Feldman, Charles J. Hodanics, Steven M. Babin, and Sheri H. Lewis

A Scalable Data Mining Approach for Providing Public Health with Disease Incidence Predictions Weeks in Advance
Anna L. Buczak, Erhan Guven, Steven M. Babin, Erin N. Hahn, David W. George, Yevgeniy Elbert, Liane C. Ramac-Thomas, Benjamin D. Baugher, Jacqueline S. Coberly, and Sheri H. Lewis

Public Health Applications in the Cloud

Wayne A. Loschen, Miles A. Stewart, and Joseph S. Lombardo



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© 2014 by The Johns Hopkins University Applied Physics Laboratory

The electronic version of the Johns Hopkins APL Technical Digest was created by
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