The Spatio-Temporal Epidemiological Modeler (STEM) is a tool designed to help scientists and public health officials create and use models of emerging infectious diseases. STEM uses mathematical models of diseases (based on differential equations) to simulate the development or evolution of a disease in space and time (e.g., avian flu or salmonella). These models could aid in understanding, and potentially preventing, the spread of such diseases. STEM also comes pre-configured with a vast amount of reference or denominator data for the entire world. By using and extending the data and models in STEM it is possible to rapidly prototype and test models for emerging infectious disease. STEM also provides tools to help you compare and validate your models. As an open source project, the ultimate goal of STEM is to support and encourage a community of scientists that not only use STEM as a tool but also contribute back to it. STEM is designed so that models and scenarios can be easily shared, extended, and built upon.
STEM Documentation
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Release Planning
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please also see our website and What's New in STEM
V1.4.0
Plan Features: (Tentative Date 9/25/2012)
- Performance improvements
- Simplified creation of new Disease and Population models (Tools for generating new disease plugins)
- Pajek-file Importer:
- Enable import of discrete transportation events
- Enable integration between user graphs and existing STEM graphs
- New improved MapView
- Enable visualization of discrete transportation events
- Enable multiple views of the same simulation
- Polio Example
- Stochastic Modeling Framework
- Ability to delete items inside a graph from Designer Perspective
- Deep copy drag and drop for models
- Refactor
- Create new mixing edges (edges back in, generator created)
- Improved UI for decorators view
- Time adaptive external data source models
V1.3.1
Current Release
- Bug Fixes to 1.3.0
- STEM EMF update to version 2.7.2
- Generalized model replay mechanism
- Modifiable Modifiers (batch mode)
- Shape File Importer: Improvements to GUI
- Population Transformer: food mediated disease
- Graph Editor: improved features
- New Population re-scaler
- New Polio model
...future
- Running Distributed STEM
- parameter sensitivity analysis
- mcmc optimizer
- Scenario "compile" proof of concept
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