Kevbad the Bad
Amiable Bowel Syndrome
I’ve just been told that some tossers are organising a ‘clap for Boris’ event tonight at 8pm. I don’t know if it’s local or national. You have been warned.
I’ve just been told that some tossers are organising a ‘clap for Boris’ event tonight at 8pm. I don’t know if it’s local or national. You have been warned.
Ah bollox 2hats I just came on to post the same thing.Reducing onward transmission is the whole point of the exercise.
It's not entirely pointless (DOI: 10.1017/dmp.2013.43, DOI: 10.1371/journal.pone.0002618), it's source control; drive R0 towards unity, or lower. Not just for those recovering but the asymptomatic too.
Sure, efficacy clearly improves with fit and density of the material used, the aim being to dampen gas cloud momentum and thus curb the propagation of the turbulent multiphase, virion infected, expiratory droplet cloud (DOI: 10.1001/jama.2020.4756). But a cycling grade pollution mask which filters substantially at PM10 (better, down to PM2.5) will make a significant difference to transmission rate given the bulk of longer lived transmissible expiratory droplets are at that scale or greater dimensions.
I’m certain you’re at least 5 or 6 people.The NHS England data that I have been moaning about not having access to in recent weeks is actually available, yay.
This data will allow me to build a picture of hospital deaths where the date is the actual date of death, rather than the date of reporting. Lag is still there, but unlike the daily overall numbers, the accuracy of past days numbers will improve over time.
Statistics » COVID-19 Daily Deaths
Health and high quality care for all, <br />now and for future generationswww.england.nhs.uk
When time allows, I will try to turn this data into something more instantly readable. How quickly that happens likely depends on how interesting the picture that emerges from my first poke at this turns out to be. Its possibly still a bit early to get the most out of even the March figures, not sure yet.
Obviously this data is only for hospitals so I'll have to merge in ONS data too to get the most complete picture possible, or frankly I could jsut wait a very long time and use the ONS data on its own.
Well the difference in hospital death data for England is quite pronounced.
The column on the left shows the total number of deaths in hospitals in England that were reported at the time. Because this daily figure is referring to the previous day, I have displaced it by one day to be fairer, eg the final figure of 4897 was reported on March 6th but refers to the period of March 5th so thats where I have put it.
The column on the right shows the new, imporved data, where deaths are actually placed on the day they happened, rather than the day they made it through the reporting system. Unlike the column on the left, the numbers for any particular date are being revised as time goes on. So they eventually give a much more time-accurate picture, but there is still the same lag really. So for example the numbers currently shown for recent dates are likely to increase a lot in future, and even the numbers of deaths from earlier in March can still increase.
So yeah, big differences, even though this is still only hospital deaths. It didnt take very long before lag means the cumulative totals given each day were haf the actual number of hospital deaths that had actually been reached at that point.
Cumulative hospital deaths:
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Sorry, didn't see you were grinning under your mask
Should do a clap for the virus one at 9.I’ve just been told that some tossers are organising a ‘clap for Boris’ event tonight at 8pm. I don’t know if it’s local or national. You have been warned.
Thank you so much for doing this, it really illustrates just how much garbage in is going into anything I am modelling (using just the announced figures). I think I might just stop now.
I don't know how you have the data organised, but if it's easy to extract, a matrix of how each day's total evolves over time would be really useful... (ie 'death day' as the row headings in column one, with 'estimate for deaths on day' as the row headings - each would start with the announced number on day n+1 and evolve over time until stabilises at the truth. I suspect the data availabilty may not be amenable to such a presentation. but maybe...? Basically I'm asking for a way to model the 'true' deaths from the announced figure I guess! Maybe just 2x, as you say...
That's going to be really tricky, I think. At some point, as we pass peak, the daily figure is going to be more than the actual figure for a while. Is there enough information in there to predict when that might be?Thank you so much for doing this, it really illustrates just how much garbage in is going into anything I am modelling (using just the announced figures). I think I might just stop now.
I don't know how you have the data organised, but if it's easy to extract, a matrix of how each day's total evolves over time would be really useful... (ie 'death day' as the row headings in column one, with 'estimate for deaths on day' as the row headings - each would start with the announced number on day n+1 and evolve over time until stabilises at the truth. I suspect the data availabilty may not be amenable to such a presentation. but maybe...? Basically I'm asking for a way to model the 'true' deaths from the announced figure I guess! Maybe just 2x, as you say...
Moving average from Day-7 to Day-3 (say) for deaths and/or hospital admissions to get an idea of the trend. Everything else (in the public domain anyway) is probably fairly pointless.It's a good illustration of how hard it is to judge where we're at. I'm increasingly thinking that the single number showing 'how many people are currently in hospital' is probably the best measure of that.
Tell that to the nurses.They're not protecting themselves, in fact putting themselves more at risk.
Tell that to the nurses.
You are wrong.
Basically I'm asking for a way to model the 'true' deaths from the announced figure I guess! Maybe just 2x, as you say...
To be expected after the low numbers from the last two days sadly. The general trend is still towards a levelling off of the death rate though. In another week or so we should be seeing a consistent downward trend.
Q: The increase in deaths in Germany is much slower than in other EU countries. What can we learn from them?
Vallance says he does not have a clear answer to that. Two factors apply: the virus and the society it hits. He suggests Germany might be different.
Whitty says Germany got ahead on terms of testing. There are lessons to be learnt from that.