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collecting and organizing epidemiological covid-19 data

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BCCP Covid-19 data repository

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 [email protected]

Data available by country:

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

Publications

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.

Code

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.