STLT Outbreak and Analytics Response (SOAR)
A epidemiological surveillance system designed for state, tribal, local, and territorial (STLT) public health departments. The STLT Outbreak and Analytic Response (SOAR) system integrates multiple forecasting models and genomic tree assessments. The systems also has additional functionality, such as alerting systems and ensemble modeling to support evidence-based decision making in respiratory surveillance.
SOAR Video Tutorials
A series of video tutorials that provide step-by-step guidance on how to optimize its various features and functionalities to support effective public health decision-making and emergency response. These videos will be embedded within the SOAR platform.
SOAR Demo
Instructor-led facilitations of the SOAR platform that provide STLT partners with an overview and step-by-step guide to navigating the platform for independent use.
Mastering SOAR: An online platform for Public Health Surveillance, Forecasting and Outbreak Response.
This course is a self-paced, asynchronous training series designed to introduce public health professionals to the nowcasting and forecasting capabilities of the SOAR platform.
Trainings Market Analysis
Systematic analysis on the market to analyze the landscape, demand, and need for different types of trainings.
Simulation Games
Develop serious simulation games and planning to host workshops focused on these games.
Midwest EpiView: Influenza
The dashboard will leverage electronic health record data from 10 Minnesota health systems to 1) track testing, cases, and vaccinations, 2) conduct geospatial statistical analyses to detect spatial clustering, and 3) simulate basic scenarios. It is currently being developed to track flu, however, it is designed to be flexibly adapted to other diseases in the…
Serfling
Classic Serfling-type regression model for seasonal diseases. Can be used to estimate both excess risk (based on breaching a threshold), or estimate the peak week and other parameters of a yearly epidemic curve.
Influenza