UK Covid death toll

[baggy1]

16th Sept - 929
23rd Sept - 1,439 (1.55 x previous week)
30th Sept - 2,036 (1.41 x pw)
7th Oct - 3,066 (1.51 x pw)
14th Oct - 4,313 (1.41 x pw)
21st Oct - 6,271 (1.45 x pw)
28th Oct - 9,070 (1.45 x pw)
4th Nov - 11,037 (1.22 x pw) (Lockdown 5th November)
11th Nov - 12,730 (1.15 x pw)
18th Nov - 14,490 (1.14 x pw)
25th Nov - 14,240 (0.98 x pw)
2nd Dec - 13,212 (0.93 x pw)
9th Dec -  13,467 (1.02 x pw)
16th Dec - 15,465 (1.15 x pw)
23rd Dec - 17,834 (1.15 x pw)
30th Dec - 22,713 (1.27 x pw)
6th Jan - 27,727 (1.22 x pw) (Lockdown 6th January)
13th Jan - 32,689 (1.18 x pw)
20th Jan - 33,886 (1.04 x pw)
27th Jan - 30,846 (0.91 x pw)
3rd Feb - 26,374 (0.86 x pw)
10th Feb - 20,926 (0.79 x pw)
17th Feb - 16,458 (0.79 x pw)
24th Feb - 13,007 (0.79 x pw)
3rd Mar - 9,594 (0.74 x pw)
10th Mar - 6,945 (0.73 x pw)
17th Mar - 5,397 (0.77 x pw)
24th Mar - 4,005 (0.74 x pw)
31st Mar - 3,084 (0.77 x pw)
7th April - 2,486 (0.81 x pw)
14th April - 1,972 (0.79 x pw)
21st April - 1,609 (0.82 x pw)
28th April - 1,278 (0.79 x pw)
5th May - 1,032 (0.81 x pw)
12th May - 907 (0.88 x pw)
19th May - 757 (0.83 x pw)
26th May - 745 (0.98 x pw)
2nd June - 801 (1.08 x pw)
9th June - 876 (1.09 x pw)
16th June - 1,057 (1.21 x pw)
23rd June - 1,255 (1.19 x pw)
30th June - 1,500 (1.2 x pw)
7th July - 2,144 (1.43 x pw)
14th July - 3,110 (1.45 x pw)
21st July - 4,063 (1.31 x pw)

Another week of growth but thankfully not as high a % week on week but still over 30%. Following the same pattern as September / October with a slightly slower increase rate we are 3 or 4 weeks off the equivalent lockdown / circuit break at this point. Hopefully the lower rate this week signifies that there are less people going to be infected due to the numbers with jabs. Just anecdotally we know of a lot of people that have had covid this time but very few of them are ending up in hospital, of 14 we know of (10 double jabbed and two with 1 jab) only the two that weren't (they were pregnant) have been admitted to hospital for review. It's definitely going around.

As you will see from the figures we have doubled the numbers in hospital in two weeks, we can't afford to do that again over the next two as that will force the mop haired fool into reversing his irreversible promise.

We seem to be stalling on the jabs just below 90% now with a 0.1% increase each day of 1st jabs.

[baggy1]

North East and Yorkshire: 48%; 23%; 38%; 88%; 55% 40% (1026)
North West: 51%; 4%; 20%; 26%; 23%; 5% (830)
Midlands: 22%; 14%; 34%; 65%; 51%; 35% (858)
East of England: 22%; 14%; 34%; 32%; 68%; 67% (302)
London: 10%; -1%; 13%; 35%; 34%; 36% (794)
South West: 100%: 72%; 44%; 18%; 73%; 40% (254)
South East: 28%; 12%; 47%; 69%; 59%; 29% (337)

Another week where all regions saw an increase in the numbers in hospital but a possible green shoot in amongst that of the North West only seeing a 5% increase for the week (referencing KKC's West to East transmission). All regions bar 2 had a slower rate of increase than previously with London and East of England both staying pretty stable. We've now had 6 weeks of increase in all regions but there is a slowdown going on - hopefully that will translate next week into the 1st region for a while to see a fall in the numbers in hospital.

[Malcolm Tucker]

https://www.mirror.co.uk/news/uk-news/mo...l-24623148

[Protheroe]

https://www.mirror.co.uk/news/uk-news/mo...l-24623148

Yes, it looks like the 40% figure I was quoting a couple of weeks ago was a substantial underestimate.

[Borin' Baggie]

https://www.mirror.co.uk/news/uk-news/mo...l-24623148

Yes, it looks like the 40% figure I was quoting a couple of weeks ago was a substantial underestimate.

Not really, as referenced from the data a lot of those cases that were "caught" in hospitals were from people being admitted with unknown illnesses, getting tested and then found to have Covid.

The only real inference that can be taken from the data presented by the Telegraph is that at least 56% of Covid infections detected in hospitals were from people who hadn't been tested before being admitted. That's it. And as a data point that is completely meaningless.

[baggy1]

https://www.mirror.co.uk/news/uk-news/mo...l-24623148

Yes, it looks like the 40% figure I was quoting a couple of weeks ago was a substantial underestimate.

Not really the issue is it though - covid is taking up hospital beds and that will cause problems no matter which way you spin it. It really would be helpful if you'd add some substance to the discussion rather than sound bites. Hospitalisations are still going up and trying to give the impression it's all down to some data flaw is dangerous. You've been repeatedly wrong during this pandemic and need to start to take it seriously or we'll never get back on our feet, we'll just stumble from one restriction to the next.

[Protheroe]

"people being admitted with unknown illnesses"

That's not what it says at all, is it?

---

None of which means they caught it in hospital

None of which means they didn't, or that they didn't catch it in another care setting.

[strawman]

"people being admitted with unknown illnesses"

That's not what it says at all, is it?

What it says is that they were tested positive in hospital. Anyone who goes into hospital including A&E with a temperature will be tested, some will be positive, some will be negative as I was when admitted for gallstone pain. None of which means they caught it in hospital

[Borin' Baggie]

"people being admitted with unknown illnesses"

That's not what it says at all, is it?

Err, yes it does. The Telegraph even caveated their article with the below:

"Crucially, this group does not distinguish between those admitted because of severe illness, later found to be caused by the virus, and those in hospital for different reasons who might otherwise never have known that they had picked it up"

You simply can't extrapolate this data into how many cases were caught in hospital as it makes no distinction about how many of those cases were caught outside of hospital and only detected in a hospital.

[baggiebuckster]

Surely a more telling statistic would be the percentage of people in hospital who have tested positive for Covid that are actually receiving treatment for Covid.