Part of EPIFORECAST Project Umbrella
Data-Driven Epidemic Forecasting
This project develops machine-learning enhanced epidemic models that fuse surveillance data, mobility patterns, and climate signals to produce real-time forecasts for outbreaks across West Africa.
EP
Data-Driven Epidemic Forecasting Project Umbrella
By combining mechanistic SEIR-style models with Bayesian inference and GPU-accelerated simulation, the project provides decision support tools for ministries of health and regional response teams.
Project Highlights
Deployed a prototype early-warning dashboard for two regional hospitals; integrated anonymized mobile phone mobility data; open-sourced a forecasting toolkit for partner institutions.