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Automating Disease Forecasting with epiworld-forecast

Join Andrew Pulsipher, Research Programmer (Data Scientist) at the University of Utah's Division of Epidemiology, as he introduces epiworld-forecast, an open-source project designed to automate disease forecasting using epiworldR. In this presentation, Andrew outlines the key objectives and workflow of epiworld-forecast, demonstrating how users can easily: Gather epidemiological data Calibrate infectious disease models Automatically generate forecasts Produce informative reports Efficiently publish results Andrew also highlights the powerful tools and technologies underpinning the epiworld-forecast project: Docker for standardized containerization epiworldR for epidemiological modeling GitHub for collaborative development and version control Quarto for professional and dynamic report creation GitHub Actions for seamless automation and continuous integration Explore the provided GitHub template repository and start building your own automated disease forecasting pipeline today: 🚀 epiworld-forecast GitHub Template Repository: https://github.com/EpiForeSITE/epiwor...