Sally Furniss
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Spatiotemporal Epidemiological Modeler (stem)
http://www.alphaworks.ibm.com/tech/stem
Update: October 11, 2005
Version 3.1 contains additional maps (including Canada), performance enhancements, and improvements to the user interface.
Download Here
What is the Spatiotemporal Epidemiological Modeler?
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.
Policymakers responsible for creating strategies to contain diseases and prevent epidemics need an accurate understanding of disease dynamics and the likely outcomes of preventive actions. In an increasingly connected world with extremely efficient global transportation links, the vectors of infection can be quite complex. STEM facilitates the development of advanced mathematical models, the creation of flexible models involving multiple populations (species) and interactions between diseases, and a better understanding of epidemiology.
How does it work?
The STEM application has built in Geographical Information System (GIS) data for every county in the United States. It comes with data about county borders, populations, shared borders (neighbors), interstate highways, state highways, and airports. This data comes from the public U.S. census TIGER files. Version 3.0 also contains many new maps of countries and regions around the globe.
STEM is designed to make it easy for developers and researchers to plug in their own models. It comes with spatiotemporal Susceptible/Infectious/Recovered (SIR) and Susceptible/Exposed/Infectious/Recovered (SEIR) models pre-coded with both deterministic and stochastic engines. Version 3.0 also supports multi-serotype disease models.
The parameters in any model are specified in XML configuration files. Users can easily change the weight or significance of various disease vectors (such as the weights of highways, shared borders, airports, etc). Users can also create their own unique vectors for disease. Version 3.0 includes public health policy events. Further details are available in the user manual and design documentation.
Spatiotemporal Epidemiological Modeler (stem)
http://www.alphaworks.ibm.com/tech/stem
Update: October 11, 2005
Version 3.1 contains additional maps (including Canada), performance enhancements, and improvements to the user interface.
Download Here
What is the Spatiotemporal Epidemiological Modeler?
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.
Policymakers responsible for creating strategies to contain diseases and prevent epidemics need an accurate understanding of disease dynamics and the likely outcomes of preventive actions. In an increasingly connected world with extremely efficient global transportation links, the vectors of infection can be quite complex. STEM facilitates the development of advanced mathematical models, the creation of flexible models involving multiple populations (species) and interactions between diseases, and a better understanding of epidemiology.
How does it work?
The STEM application has built in Geographical Information System (GIS) data for every county in the United States. It comes with data about county borders, populations, shared borders (neighbors), interstate highways, state highways, and airports. This data comes from the public U.S. census TIGER files. Version 3.0 also contains many new maps of countries and regions around the globe.
STEM is designed to make it easy for developers and researchers to plug in their own models. It comes with spatiotemporal Susceptible/Infectious/Recovered (SIR) and Susceptible/Exposed/Infectious/Recovered (SEIR) models pre-coded with both deterministic and stochastic engines. Version 3.0 also supports multi-serotype disease models.
The parameters in any model are specified in XML configuration files. Users can easily change the weight or significance of various disease vectors (such as the weights of highways, shared borders, airports, etc). Users can also create their own unique vectors for disease. Version 3.0 includes public health policy events. Further details are available in the user manual and design documentation.
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