Bayesian inference and forecast of COVID-19, code repository

This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus. We also provide a variety of data download utilities which allow quick and easy data exploration of Coronavirus related datasets.

• Documentation
• Getting started
• Examples
• Contributing
• Source code

The latest stable version is v0.5.0!

Please take notice of our disclaimer.

Installation:

Can be installed from pypi with

pip install covid19_inference

Related Publications

These research articles use this package:

• Impact of the Euro 2020 championship on the spread of COVID-19
  • This research article is available on arXiv (updated on January 18 2023) and was published in NatureComm.
  • The code used to produce the figures is available in the other repository here but uses this package as dependency.
• Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
  • This research article is available on arXiv (updated on April 13 2020) and was published in Science.
  • The code used to produce the figures is available in the other repository here.
• Mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants
  • This research article is available on arXiv (updated on August 21 2021).

If you are interested in our efforts and like to help us feel free to contact us. We are looking for support