Technical Digest

Global Health Surveillance
Volume 32, Number 4 (2014)

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 Raj J. Ashar

Appendix Raj J. Ashar

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