Project Plan For Spatio-Temporal Epidemiological Modeler, version 2.0.3


The Spatiotemporal Epidemiological Modeler (STEM) tool is designed to help scientists and public health officials create and use spatial and temporal models of emerging infectious diseases. These models could aid in understanding, and potentially preventing, the spread such diseases.

Release Deliverables

STEM is delivered as an Eclipse Rich Client Platform (RCP) application runnable on Windows, Linux, and Mac OS X platforms. It requires a Java 6 or later JVM. The STEM application includes tools for designing, simulating, and analyzing epidemiological models. STEM contains a wealth of prepackaged data in the form of existing disease models and simulations as well as geographic/demographic data for the world.

The 2.0.3 release planning:

  • Bug fixes from 2.0.2
  • Admin 0 borders added
  • New models
  • Updated Google Earth(tm) Interface

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Release Milestones

Here is the timeline for the current STEM release cycle.
Release 1.2.2
Release 1.2.3
Release 1.3.0
Release 1.3.1
Release 1.4.0
Release 1.4.1
2.0.0 M104/02/2013
2.0.0 M1 (milestone complete)
2.0.0 M205/13/2013
2.0.0 M2 (milestone complete)
2.0.0 M306/18/2013
2.0.0 M3 (milestone complete)
2.0.0 M407/30/2013
2.0.0 M4 (milestone complete)
2.0.0 M509/20/2013
2.0.0 M5 (milestone complete)
Release 2.0.0 (release complete)
Release 2.0.1 (release complete)
Release 2.0.2 (release complete)
Release 2.0.3 (planned release)

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Target Environments

STEM runs on 32-bit and 64-bit Windows, Linux, and Mac OS X platforms. It is built using Eclipse 3.6 and requires Java 6 or later.


STEM currently has partial National Language Support for several languages. NLS resources for STEM are managed through Eclipse Babel and additional translations can be contributed through the Babel Project (

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Compatibility with Previous Releases

STEM 2.0.0 has a new migration tool to upgrade STEM projects created using 1.4.1 (or earlier)

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Themes and Priorities

Work with users to extend STEM to support work on the most important current problems in epidemiology and public health.

Hiding Complexity

In 2014 we will continue improving STEM and support its community. We are also supporting the research community response to the Ebola epidemic.

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