Vol. 32, No. 4 (2014)

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.

In This Issue

Global Health Surveillance—Guest Editor’s Introduction

SAGES Overview: Open-Source Software Tools for Electronic Disease Surveillance in Resource-Limited Settings

OpenESSENCE: An Open-Source, Self-Contained Disease Surveillance Software Application for Global Use

Analytic Biosurveillance Methods for Resource-Limited Settings

Development of Mobile Health Capabilities for Remote Data Collection in Resource-Limited Settings

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

An Overview of Open-Source Software Licenses and the Value of Open-Source Software to Public Health Initiatives

Releasing Tools for International Disease Surveillance as Open-Source Software: A Case Study

Appendix

Supplemental Tables

Tweeting Fever: Can Twitter Be Used to Monitor the Incidence of Dengue-Like Illness in the Philippines?

Development of the Respiratory Disease Dashboard for the Identification of New and Emerging Respiratory Pathogens

A Scalable Data Mining Approach for Providing Public Health with Disease Incidence Predictions Weeks in Advance

Public Health Applications in the Cloud