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项目作者： Priesemann-Group

项目描述 ：
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
高级语言： Jupyter Notebook
项目地址: git://github.com/Priesemann-Group/covid19_inference.git
创建时间： 2020-04-15T13:13:04Z
项目社区：https://github.com/Priesemann-Group/covid19_inference
开源协议：GNU General Public License v3.0
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Bayesian inference and forecast of COVID-19, code repository

Documentation Status
License: GPL v3
Code style: black

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.

The latest stable version is v0.5.0!

Please take notice of our disclaimer.

Installation:

Can be installed from pypi with

  1. pip install covid19_inference

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

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