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.
ISI Foundation
Nicolò Gozzi
Corrado Gioannini
Luca Rossi
Ivan Vismara
Paolo Milano
Queen Mary University
of London
Nicola Perra
Northeastern University
Alessandro Vespignani
Jessica Davis
Matteo Chinazzi
Minami Ueda
Nima Moghaddas
Remy LeWinter
Indiana University
Marco Ajelli
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 Institute for Scientific Interchange Foundation (ISI Foundation) funded by Fondazione Cassa di Risparmio di Torino.
Nicolò Gozzi, Matteo Chinazzi, Jessica T. Davis, Corrado Gioannini, Luca Rossi, Marco Ajelli, Nicola Perra, Alessandro Vespignani
PLOS Computational Biology 21, no. 11 (2025): e1013735. view pdf