As a public service, and with all due disclaimers, we are making available a GitLab repository dedicated to Covid19 data analysis, and updates it regularly: NGA-COVID19
​The code created is open source (BSD 3-clause license). If you find any item in the repository helpful, re-use at will, no attribution necessary.

Building on this data, we have been conducting data exploitation and analysis, under a methodology explained here: covid19.ekami.ch/our-approach/

In the slideshow below, we share the most recent graphs derived from the data and tools made available in the GitLab repository.

New York City (updated 20 APR)

San Francisco (updated 22 APR)

21 APR comment: "San Francisco past its epidemic peak?"

Oregon (updated 17 APR)

France (updated 16 APR)

The following slideshow shows the latest hospitalization data for the whole of France, followed by the counties ("départements"), with their reference number (list here).
​Added 16 APR: side-by-side comparisons of Paris ("75", 2.4m inhabitants) and the Marseille area ("13", 2.0m inhabitants).

Source code: https://gitlab.com/NexGenAnalytics/NGA-COVID19/-/blob/master/src/covid19-estimate.py

Italy (updated 10 APR)

Germany (updated 13 April)

Austria (Updated 20 April)

Comment: Austria's x_0 of 26 is remarkably low in the context of mainland Europe (Spain is at 34, France at 36 and Italy at 38).

Iceland (updated 26 April)

South Korea (updated 21 April)

21 APR comment: ""Most recent numbers confirm that measures taken have been very effective at reducing both epidemic slope and long-term outcome."

Taiwan (Updated 21 April)

21 APR comment: "Slight COVID rebound in Taiwan -- or effect of extremely methodical contact tracing?"

This page is for informational purposes only, and in no way shall be interpreted or construed to create any warranties of any kind, either express or implied, regarding the information contained therein.