Welcome to the BCCP repository for Covid-19 data. We aim to collect and uniformize publicly available data and to develop tools for the analysis and prediction.

We welcome new data. Please get in touch at BCCPcovid19@gmail.com

• Italy
• Germany
• USA
• China
• Canada
• Australia
• World population statistics

This repo also contains the data and analysis code for the recently published paper on medRxiv and submitted to Nature Communications - How deadly is COVID-19? A rigorous analysis of excess mortality and age-dependent fatality rates in Italy. This is accompanied with Medium blogs detailing our results and methodology.
The most updated version of the paper can be found in paper/Italy_COVID19_Mortality_Time_Series.pdf.

The code to analyze the data and reporoduce the tables and figures from the paper is in - notebook/Italy_COVID19_Nature_Submission.ipynb
To execute the code- clone the repo, open the notebook and click Run All Cells.
The code is written in python-3.5 and has numpy, scipy, matplotlib , pandas, datetime & seaborn as dependencies.