At AI4Casting Hub, we leverage data from Public Health Ontario's Ontario Respiratory Virus Tool, which monitors hospital bed occupancy and other virus detections. This data provides crucial insights that we use to forecast the healthcare system's burden during disease outbreaks, enabling more effective planning and response.
AI4Casting Hub uses mathematical and statistical models to forecast public health trends for diseases like COVID-19, RSV, and flu, supporting pandemic preparedness and policy planning.
Data-driven surveillance system - forecasting weekly dengue outbreak risk across regions, for early response and interventions.
Season-ahead forecasting of sylvatic yellow fever across Brazil's 5,570 municipalities — prospective validation, out-of-sample explainability and CMIP6 scenarios.
AI system for Maharashtra disease forecasts. It ingests/cleans data, flags silent and high‑risk zones, and builds district‑level analytics. Interactive maps and rich visualizations make it easy to explore trends and spot outbreaks early, giving planners a clear, professional view of risk per district.
Deploy and run Chap (climate-informed disease forecasting) and the services around it, with Docker Compose
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