Forecasting and Surveillance of Infectious Threats and Epidemics (ForeSITE) An Insight Net Center for Integration

Projects

ForeSITE aims to develop and implement a library of modeling and analytic tools belonging to five toolsets: automated alerting, parameter estimation, scenario planning, forecasting/nowcasting, and economic impact analysis. We will establish a flexible, sustainable, practical, and replicable modeling infrastructure for a broad range of settings, including local health departments in rural locations, which have limited access to analytical support.

We’re proud to share a curated selection of our most impactful projects. These highlight the diverse tool development efforts happening at our center.

Measles Modeling in Schools
Measles Modeling in Schools an agent-based simulation model

The purpose of this project is to build an agent-based intervention model for measles in Utah school settings to emphasize the importance of vaccination coverage and the impact of varying exemption rates. UDHHS hopes to be able to apply this model to inform the Utah legislative body to maintain or improve school vaccination policies.

Time Series Statistical Alerts Application
Time Series Statistical Alerts Application a user-friendly anomaly detection app

The purpose of this project is to easily distribute a capability of time series statistical alerts to analysts in public health. While software tools such as these usually require a software developer or statistician, the aim is to provide an easy-to-use solution so that analysts in STLT Health Departments can leverage these with their current capacities.

Measles Modeling in Schools
Measles Modeling in Schools an agent-based simulation model

The purpose of this project is to build an agent-based intervention model for measles in Utah school settings to emphasize the importance of vaccination coverage and the impact of varying exemption rates. UDHHS hopes to be able to apply this model to inform the Utah legislative body to maintain or improve school vaccination policies.

Time Series Statistical Alerts Application
Time Series Statistical Alerts Application a user-friendly anomaly detection app

The purpose of this project is to easily distribute a capability of time series statistical alerts to analysts in public health. While software tools such as these usually require a software developer or statistician, the aim is to provide an easy-to-use solution so that analysts in STLT Health Departments can leverage these with their current capacities.

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Cool Tutorial
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Cool Web App
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Cool Web Server
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