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RSV

RSV

  • 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.


  • Microcertifications

    A system of online training modules and microcertifications


  • Embedding postdocs and tool builders

    Embedding postdocs and tools building from UCSD


  • ARIMA; Generalize ARIMA; Vector Autoregression

    To forecast the weekly positive test number


  • Spatio-temporal estimator of local-level effective reproductive number (RtLL)

    Implements two-stage estimator of reproductive number for local-level forecasting. Can provide accurate estimates for geographic regions with sparse or no data.


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Funding statement: This project was made possible by cooperative agreement CDC-RFA-FT-23-0069 from the CDC’s Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention.

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