time_series_covid19_recovered_global.csv on 2021-08-06 06:21 UTC corrupted, cumulative recovered all zero for all countries as last datapoint

[KlausGPaul]

COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv conatins zeroes as the last datapoint, example:

,Germany,51.165691,10.451526,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,12,12,12,14,14,14,14,
....
3654720,3654950,3658150,3659260,0

This is the case for all countries.

[coder-amey]

The last entry (as on 6th Aug, 2021) is 0 for all the countries.

[KlausGPaul]

@coder-amey just spotted I had the wrong date in the title....

[CSSEGISandData]

Please see #4465.

[KelumPerera]

Kindly make a suggestion where to refer to get daily recovery data after 04th August?

https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv

[KlausGPaul]

@CSSEGISandData thanks for the pointer, pity these data are no longer available, I was aware these are hard to come by (and they are generally not reported).
Thanks for your fantastic work all that time!
@KelumPerera I am afraid you will need to look for various national sources, oddly enough most countries do not track recovered, only infected and deceased.

[CSSEGISandData]

Thank you for your kind words @KlausGPaul. @KelumPerera I would point you to https://www.worldometers.info/coronavirus/ however with the caution that they compute recovered data for locations that are not reporting (e.g., Netherlands, United Kingdom) and will also edit historical data to distribute large spikes in data using their own internal algorithms.

[coder-amey]

Thank you for the discussion and the redirect.