Project
Epydemix
Website
www.epydemix.org/
Epydemix is an open-source Python package designed for flexible, modular, and data-driven epidemic modeling.

Epydemix is an open-source Python package designed for flexible, modular, and data-driven epidemic modeling.
Info
Subjects
Partners
Queen Mary University of London, Indiana University, Northeastern University
People
Gozzi Nicolò, Gioannini Corrado, Rossi Luca, Vespignani Alessandro
Epidemic modeling often requires navigating a complex array of tools for simulation, data integration, and parameter calibration. Epydemix provides a unified, open-source framework that streamlines this process, enabling researchers and public health practitioners to design, simulate, and calibrate models within a single environment. Developed through a collaborative effort across multiple institutions, Epydemix is a continuously evolving platform. New modules and capabilities are actively under development, ensuring that the tool remains responsive to emerging research needs and public health challenges.
This project is supported 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. We also acknowledge the support of the Lagrange Project at the ISI Foundation funded by Fondazione CRT.
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