/covid19_inference

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Bayesian inference and forecast of COVID-19, code repository

Model for Qatar

See here for the code used to create the model and generate the plot used in covid19-qatar.herokuapp.com. This repo's outputs are set for feeding into the web app. Input csv file can be obtained by running

   python pages/covid_parser.py

inside the web app directory. Run

    python scripts/example_qatar.py 

for the plots and forecasts.

Original Repo

Documentation Status License: GPL v3 Code style: black

This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus.

Check out our documentation.

An example notebook for one bundesland is here, and for an hierarchical analysis of the bundeslaender here (could still have some problems).

The research article is available on arXiv (updated on April 13). The code used to produce the figures is available in the other repository here

We are looking for support to help us with analyzing other countries and to extend to an hierarchical regional model. We have received additional funding to do so and are recruiting PostDocs, PhD candidates and research assistants: https://www.ds.mpg.de/3568943/job_full_offer_14729553 https://www.ds.mpg.de/3568926/job_full_offer_14729572 https://www.ds.mpg.de/3568909/job_full_offer_14729591

Please take notice of our disclaimer.