A data science analysis of the Covid-19 pandemic, caused by the novel coronavirus

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    Markus Noga
    1 April 2020 - updated 1 year ago
    Total votes: 0

The novel coronavirus is bringing societies worldwide to a halt and causing widespread health impacts and fatal outcomes. Still, there appears to be a paucity of information how the crisis is likely to unfold in the near future. Most news outlets only show aggreate numbers, color-coded world maps, or descriptive statistics of the current situation.

This repository holds a daily series, in which I am taking a closer look at numbers and trends, and making some tentative projections. All data are taken from the Johns Hopkins Covid-19 dataset on GitHub. Each day, Johns Hopkins update the dataset with figures for the previous day; I salute their diligent work.

All projections are based on curve fitting on a per-country level. Thus, they extrapolate current trends. By nature, they can neither reflect the impact of recently enacted measures, which are expected to reduce infection rates, nor can they reflect new adverse developments. So please take everything with a grain of salt.

Stay safe, look after your loved ones, and stay healthy.

Markus Noga

 

Go to the repository

 

Previous daily updates

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