Chat about Novel Coronavirus - 2019-nCoV - COVID-19

Awaits the much touted reverse ferret

Yes, I predict there’ll be difficult decisions about what year groups to prioritise.

Fills me with dread. I can’t see how schools will remain operational with current case numbers.
Unfortunately I can’t see them closing schools or any action on a national level to provide continuity

Fucking hell, the number is (predictably) insane.

Family members discussing what they did to take their minds off the pending LFT for the 30minutes. Dad pipes up with "What wait are you talking about? It's pretty much instant, isn't it? C for Clear!"
Turns out he hasn't been doing them properly at all.

What did he think T stood for?

Still no upwards trend of patients in medical ventilation beds, which is good.

Are both the model and the actual inclusive / exclusive of incidental admissions?

Still no upwards trend of patients in medical ventilation beds, which is good.

11% up in London in the last 7 days but as you say, looking like good news so far.

Are both the model and the actual inclusive / exclusive of incidental admissions?

No because incidental admissions exert a high level of strain on the NHS.

On a national level, incidental admissions are still very much in a minority too.

On a national level, incidental admissions are still very much in a minority too.

Data source?

In my experience when they are positive the T is very fast (seconds, not minutes) so he has probably been okay.

I wouldn't say incidental is negligible but certainly not the majority and it still creates constraints

https://www.theguardian.com/world/2021/dec/29/how-can-we-measure-the-true-scale-of-uk-covid-hospital-admissions

Data source?

https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/

The most recent available NHS England data reveals that on 26 December there were 1,338 new hospital cases. Of these 1,082 were either admitted in the previous 24 hours for the first time with Covid or were diagnosed in hospital in the previous 24 hours where the test was within seven days of admission.

In other words, 256 of the reported Covid hospital admissions – about 20% – were actually due to hospital-acquired infections, meaning the patients were originally admitted for different reasons.

Just to add, you will see a lot of people claiming that 70%+ of admissions are incidental at the moment. This is down to some unscrupulous people sharing anecdotal figures cherry picked from single shifts at individual wards.

Not saying it is, but could this just be explained by public sector workers feeling less at risk for taking days off when they actually should due to better working practices and not feeling a need to force themselves to come in and spread whatever they've got around to avoid the whips of their paymasters?

What did he think T stood for?

Terminal.

I contemplated a discussion but probably not worth it given the starting point.

In my experience when they are positive the T is very fast

Yup, been doing LFT daily for the last 23 days.

Lol, I was going to make that joke.

Data source?

Just looking at London data now. Latest date available 21st Dec.

On the 21st, 1,602 people were in hospital with a Covid diagnosis. Of those 1,197 were deemed to be admitted BECAUSE of Covid.

https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2021/12/Primary-Diagnosis-Supplement-20211223.xlsx

Yeah, the recent "people are all selfish" and now "public sector workers are lazy" stuff is really showing them up to be a bit of an arsehole.

Data source?

And if you prefer to look at pictures...

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Quite. For what it’s worth my best guesses would be difference in male vs female representation in both groups, women being more likely to take time of due to carer responsibilities, more equal recruitment for those with disabilities and health issues and better practices around long term sickness.

Sorry for post bomb but I thought it'd be worth mentioning how "with" and "for" are calculated.

Trusts are asked to report on a best endeavour basis as calculating "with" and "for" is complicated. In a nutshell, the treating clinician is asked to consider "would this patient have been admitted if they did not have Covid?". In 70% of admissions in England as of the 21st, the answer was no.