The following steps will walk you through installing a virtual machine (VM) version of the new OpenESSENCE system for aggregate data collection. The VM contains a fully configured system, so that you can quickly start using OpenESSENCE without a lengthy installation process.
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OpenESSENCE is a multi-user network accessible analysis and visualization tool that enables an epidemiologist to monitor the population’s health from any computer connected to that network. Available analyses include demographic characterizations, temporal and spatial analyses, display of patient level information, geographic mapping, anomalous event detection, and dynamic query capability. Visualization features include: time series charts, pie/bar charts, crosstabs, tables, and choropleth maps.
OpenESSENCE Demo Site
Click here to show the login info.
OpenESSENCE 2.2.1
OpenESSENCE Source Code
OpenESSENCE Dependency List (CSV)
A new version of OpenESSENCE is available. We would appreciate your feedback on this release at contactSAGES@jhuapl.edu.
Click here for downloading and installation instructions.
Click here for OpenESSENCE Quick Start Guide.
Android smartphones (or simple cell phones) can be used to send surveillance data to a central repository. A customized data entry form, built using Open Data Kit (ODK) Build, is loaded into an Android-based application called SAGES ODK-Collect, a JHU/APL tool which is a modified version of the popular open source ODK Collect Android phone application. SAGES ODK-Collect, in conjunction with the data entry form, enables the collection of surveillance data using a form-based interface on the Android smartphone, and the submission of that data over the SMS protocol.
SAGES mCollect 1.1
SAGES mReceive 1.1
SAGES Mobile ETL 1.0
SAGES Mobile Source Code
SAGES Mobile Dependency List (CSV)
ESSENCE Desktop Edition (EDE) is a single-user stand-alone analysis and visualization tool that can be installed on most computers. It is designed to run independently on a single desktop or laptop computer. EDE does not need access to the internet because it ingests data files stored on the same computer. Available analyses include demographic characterizations, temporal and spatial analyses, display of patient level information, geographic mapping, anomalous event detection, and dynamic query capability. Visualization features include: time series charts, pie/bar charts, tables, and choropleth maps.
EDE Complete with uDig
February 2013 (exe, 167 MB)
EDE Installer w/o uDig feature
February 2013 (exe, 89 MB)
EDE uDig Feature
October 2011 (zip, 101 MB)
Cityville Example Data/Map Files
Current (zip, 321 KB)
EDE Dependency List (CSV)