Welcome to pyepidemics documentation¶

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Open-source epidemics modeling Python library

pyepidemics is a Python library to easily manipulate epidemiological models (SIR, SEIR, COVID19), forecast, and test policy scenarios. Main features are:

Creation of classical compartmental models (SIR, SEIR, SEIDR, etc...)
Creation of COVID19 related model (with ICU and different levels of symptoms)
Creation of custom compartmental model
Easy extend to compartmental model on different levels (by age, by region, by age and region, etc...)
Implementation of contact matrices
Implementation of policies (lockdown, tracing, testing, etc...)
Calibration of epidemiological parameters on real-world data using Bayesian optimization
Data helpers to get up-to-date data (cases, beds availability, population contact matrices) (NB as of today only for France cases)
Simple curve fitting algorithms
Economics modeling on consumption and production

Warning

This library is under active development, please contact Théo Alves Da Costa if you need more information and would like to contribute

Contributors¶

The library has been initially developed by Ekimetrics under the coalition of French AI companies CoData or help French government response to the COVID19 pandemics. Main contributors are:

Théo Alves Da Costa, Ekimetrics
Léo Grosjean, Ekimetrics
Pierre Carles, Ekimetrics
Nicolas Chesneau, Ekimetrics
Marianne Chehade, Ekimetrics
Jean-Baptiste Remy