This sounds bonkers, do you have any evidence?
It's all out there hiding in plain sight
R is the basic reproduction number of the virus, which is being calculated based on new number of cases, which by definition only includes people who have tested positive. The fact people with symptoms have been told just to isolate themselves and are not all being tested is common knowledge. The fact that free tests are being offered to people who have never shown any symptoms or felt in any particular danger is also common knowledge.
Yesterday's Cases slide states that this does not include all cases, just people who've been tested
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The slide after states that we are dealing with estimates
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The Statistical notes for the slides states that the R is based on Estimates, and is based on a study of people with or without symptoms
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Source
2020-05-14 COVID-19 Press Conference Slides - for publication
Quite agree but what if the schools are not safe and teachers won't go? How do you socially distance in a school?
I'm sure you cannot leave a child under fourteen on their own.
None of that shows how they're calculating R.
Estimated average number of people who had COVID-19 (England)
This study addresses an important clinical priority: finding out how many people across the UK have a COVID-19 infection at a
given point in time, or at least test positive for it, either with or without symptoms; how many new cases have occurred in a given time period; and how many people are ever likely to have had the infection. It will also enable estimates of the rate of transmission of the infection, often referred to as “R”. ONS have published further
information on the strengths and limitations of the estimates
Coronavirus (COVID-19) Infection Survey pilot: England, 14 May 2020
This study has been criticised for many reasons
We have to do what's best, and if that means getting primary school children back in being taught by teachers who are in the lower risk categories then that's what we have to do.
Estimated average number of people who had COVID-19 (England)
This study addresses an important clinical priority: finding out how many people across the UK have a COVID-19 infection at a
given point in time, or at least test positive for it, either with or without symptoms; how many new cases have occurred in a given time period; and how many people are ever likely to have had the infection. It will also enable estimates of the rate of transmission of the infection, often referred to as “R”. ONS have published further
information on the strengths and limitations of the estimates
Coronavirus (COVID-19) Infection Survey pilot: England, 14 May 2020
This study has been criticised for many reasons
I'm not sure i understand the bit about Hospital admissions?Thats the pilot study though, and nothing is said about hospital admissions being used or any other testing numbers being used
The lower risk going out to work is exactly what I would have advocated from the beginning. But as Paddy alluded to earlier in the thread what if that person takes the virus home to another who is vulnerable. For me the furlough should have been set until a vaccine was available to those who are highly vulnerable and those in the same household. Trouble is yo then get somebody say even those with mild symptoms risk long term damage. Glad I'm not Johnson - the sniping doesn't really add to a shitty situation.
Agree with that.
Are people really expecting to be on furlough for 12-18 months though, that just isn't realistic.
I'm not sure i understand the bit about Hospital admissions?
I don't think they explicitly said which other data, apart from the pilot study, they were using to calculate R
Uk 256 deaths. Coming down quicker than a whore's knickers. Is Johnson's 12 weeks prediction close ?
As far as I am aware, since April 27th the announcements on the infection rate have been based on that pilot, which are all estimates, only include private households, and excludes "anyone in hospitals, care homes or other institutional settings".
What they're not explaining whilst creating their panel of armchair experts is potential issues with the data such as the significance of the confidence levels in their assessment of 148,000 people which mean it could be as low as 94,000, but could also be as high as 222,000. They could be over estimating by 54k and underestimating by 74k which are pretty big swings.
My initial point was that if you asked most people who are watching the daily updates, they would tell you that the infection rate is below 1 and is falling , when the reality is it's a guess. An educated guess, but a guess all the same.
Would people feel as comfortable knowing and understanding we are acting on a statistical guess and the size of that guess as they are believing they're listening to scientific fact? I don't think they would be.