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.
Whitman Co. COVID
Estimate the mixing parameters for a two-population metapopulation model (i.e. Beta_Pop1, Beta_Pop2, Beta_Pop1*Pop2). Model currently fits timeseries data from pre-vaccination COVID in Fall 2020 in Whitman Co., WA (focusing on the town of Pullman).
Statistical Alerting Report
We’ve had a VA Operations version of an aberration alerting tool made utilizing R. This tool is a C# WPF application designed for generating and managing data-driven surveillance reports. It integrates with a Python Flask localhost web server to process data using the epySurv module, leveraging CDC public surveillance data for demonstration and allowing users…
