So since there is a lot of covid data I thought I would practise on it somewhat in another amateur hour (actually, this is a half hour). Trying to work out what the 10,000+ cases means for deaths ... 1/

First, wanted to correlate cases vs hospitalisations, which appeared to be strongest when you match cases against hospitalisations 10 days later. This seems to say admissions on day 11 = ~7.5% of the case numbers on day 1.
2/

Then wanted to look at the hospitalisation-deaths relationship. But of course that is shifting over time... 3/

For the first period, the slope is about 0.3 (30% of hospitalisation figure = death figure) 4/

When you take the last period, the slope is only 0.14 - much better survival rate - what a fantastic achievement. 5/

So my guess: 10,000 daily positive tests probably ends up leading to ~750 hospitalisations in 10 days time, and sadly around 100-110 deaths.

Does that seem realistic? 6/6

PS. these are England figures