Inspired by a collaborative and multidisciplinary effort from the scientific community, IDM’s innovative software tools provide a qualitative and analytical means to model infectious disease. Tools are provided to the scientific community to accelerate the exploration of disease eradication through the use of computational modeling.

EMOD

IDM’s primary software, Epidemiological MODeling software (EMOD), simulates the spread of disease to help determine the combination of health policies and intervention strategies that can lead to disease eradication.

EMOD is a stochastic, mechanistic, agent-based model that simulates the actions and interactions of individuals within geographic areas to understand the disease dynamics in a population over time. EMOD supports modeling a variety of different diseases including malaria, HIV, and tuberculosis.

Scientific Feature Testing:

IDM has created a suite of over 600 scenarios which run daily to ensure errors are not introduced into the current models. A vital part to this suite of tests is our “scientific feature testing,” which involves carefully validating the model output with the mathematical formulas and distributions specified for each disease.

COMPS

COmputational Modeling Platform Service (COMPS) is a web-based user interface that facilitates research by providing access to high-performance computing environments.

Dashboard:

The COMPS dashboard provides an overview of computing cluster usage, including current and queued jobs. Resource management is simple due to the job-priority system used by the platform.

Multi-Chart:

COMPS provides powerful charting functionality to visualize the output channels for simulations. A chart can include output for a single simulation or for multiple simulations. Viewing multiple simulations in a single chart (multi-chart) provides a fast, flexible way to filter simulations to view only data of interest.

Spatial Channel Viewer:

The COMPS spatial channel viewer visualizes geospatial data over time. You can choose from a rich set of base maps on which to overlay the output of the simulation and a large library of gradients to customize the colors used for the data.

Weather Visualization:

COMPS creates input data files for demographics, migration, and weather to use in a simulation. The spatial and temporal weather data includes air temperature, relative humidity, and rainfall for many geographic regions across the globe using weather station readings and satellite data. COMPS provides a visualization of weather patterns overlaid on regional maps.

Risk Map

The Risk Map service is a tool to create a calibrated, predictive risk model from disease incidence data. The tool provides both model output and maps to visualize risk across a given time period for a specific location. Once a CSV file of incidence data is uploaded, the tool steps through a process of data cleaning, aggregation, model running, and, finally, creation of visualizations. IDM provides example data to test the tool’s functionality.

In Development

Vis-Tools
While still in development, the goal of the Visualization Toolkit is to help you gain deeper insight into the complexity of disease dynamics by visually linking temporal and geospatial simulation data. These layered, animated visual elements will help the user gain deep insight into the complex interplay of factors within the simulations.

Inspired by a collaborative and multidisciplinary effort from the scientific community, IDM’s innovative software tools provide a qualitative and analytical means to model infectious disease. Tools are provided to the scientific community to accelerate the exploration of disease eradication through the use of computational modeling.

IDM’s primary software, Epidemiological MODeling software (EMOD), simulates the spread of disease to help determine the combination of health policies and intervention strategies that can lead to disease eradication.

EMOD is a stochastic, mechanistic, agent-based model that simulates the actions and interactions of individuals within geographic areas to understand the disease dynamics in a population over time. EMOD supports modeling a variety of different diseases including malaria, HIV, and tuberculosis.

Scientific Feature Testing:

IDM has created a suite of over 600 scenarios which run daily to ensure errors are not introduced into the current models. A vital part to this suite of tests is our “scientific feature testing,” which involves carefully validating the model output with the mathematical formulas and distributions specified for each disease.

COmputational Modeling Platform Service (COMPS) is a web-based user interface that facilitates research by providing access to high-performance computing environments.

Dashboard:

The COMPS dashboard provides an overview of computing cluster usage, including current and queued jobs. Resource management is simple due to the job-priority system used by the platform.

Multi-Chart:

COMPS provides powerful charting functionality to visualize the output channels for simulations. A chart can include output for a single simulation or for multiple simulations. Viewing multiple simulations in a single chart (multi-chart) provides a fast, flexible way to filter simulations to view only data of interest.

Spatial Channel Viewer:

The COMPS spatial channel viewer visualizes geospatial data over time. You can choose from a rich set of base maps on which to overlay the output of the simulation and a large library of gradients to customize the colors used for the data.

Weather Visualization:

COMPS creates input data files for demographics, migration, and weather to use in a simulation. The spatial and temporal weather data includes air temperature, relative humidity, and rainfall for many geographic regions across the globe using weather station readings and satellite data. COMPS provides a visualization of weather patterns overlaid on regional maps.

The Risk Map service is a tool to create a calibrated, predictive risk model from disease incidence data. The tool provides both model output and maps to visualize risk across a given time period for a specific location. Once a CSV file of incidence data is uploaded, the tool steps through a process of data cleaning, aggregation, model running, and, finally, creation of visualizations. IDM provides example data to test the tool’s functionality.

Vis-Tools
While still in development, the goal of the Visualization Toolkit is to help you gain deeper insight into the complexity of disease dynamics by visually linking temporal and geospatial simulation data. These layered, animated visual elements will help the user gain deep insight into the complex interplay of factors within the simulations.