The case numbers for the South West of England had quite a few of us scratching our heads in September ... 🧵
I only just made that last graph now, and you might say it's easy to see in hindsight, but here's @OliasDave plotting the data a month ago (and already then, "Still convinced there is something odd going on").
This graph, also from @OliasDave in September, is a particularly nice way of visualising how weird the results for the South West were relative to the rest of the country.
I live in the SW (and follow the data!) and I couldn't understand it. But you have to trust the data, right? Who am I to say the numbers are wrong? Suggesting that would only invite more of those "Dr Doom has sour grapes because the numbers aren't bad enough for him" comments.
And presumably they have systems in place and do obvious checks, and there's someone competent in charge who oversees these systems and will take responsibility for the reliability of the data?

Oh.
Well, they must presumably have some accreditation process. They wouldn't just let any old bunch of cowboys run a lab that was providing data that are critical for pubic health?

Of course they wouldn't ...
And if Dr Harries says this lab (which was awarded a contract without tender) was accredited, then it must have been, right?

Oh. theguardian.com/world/2021/oct…
I don't know how Dr Harries ascended to her current position. If there were any accountability in this government, she'd already be out of a job. How many more people have to die before this happens?
As an addendum, here's another nice plot showing just how pronounced the drop-off in cases was in some parts of the South West. It beggars belief that no-one in (what was) Public Health England noticed this at the time.
And in case you think I'm being too harsh on Dr Harries for this one episode .. this is just the latest in a string of follies. I'm sure someone else will have the videos, but here are some highlights:

"masks don't work"
"The UK can't learn anything from Italy" (cont'd)
"there's no shortage of PPE for healthcare workers"
"testing is for poor countries"
"Covid doesn't enter care homes via hospital patients"
"children are more likely to be hit by a bus than catch Covid at school"
"CEV people need to be brave and get out there"
etc.
At the risk of stating the obvious, false negatives can have very bad consequences.

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More from @ProfColinDavis

19 Oct
Now that Covid samples from the South West are being sent to a different lab, rolling rates are undergoing a rather dramatic adjustment. Here's a thread 🧵illustrating that, focusing on the rates for 10-14 year olds.
As a reminder, samples from the South West were being sent to a lab that (for reasons that have not yet been explained) was producing a high rate of false negatives.
This thread from yesterday noted that it was already apparent in September that something was fishy.
Read 10 tweets
16 Oct
I've focused on Wellingborough and Trafford previously, so let's take a look at Ipswich, which has the third highest rolling rate in the UK.
In the recent spike, cases initially took off around September 15th, among 10-14s (following a pattern seen all around the country). The increase among 15-19s was less steep, presumably reflecting the fact that many in the latter group are vaccinated.
A week later, around September 22, we start to see cases taking off among those in their 40s. "Parents!", you say. I couldn't possibly comment.
Read 5 tweets
15 Oct
Today marks a milestone of sorts: the number of children under 14 who've tested positive for Covid in England just passed one million (1,003,787 to be precise). 🧵
This number underestimates the number of infections, of course, because a) there wasn't really any testing of children in the first wave (the graph shouldn't be flat prior to Oct 2020), and b) many children (especially younger children) are asymptomatic when infected.
And the figure doesn't include all children (15-17 year olds are in the same age band as 18 and 19 year olds, so it's hard to cleanly separate children and young adults).
Read 10 tweets
9 Oct
An argument I've been trying to make for a long time is that mass infection of children is not only bad for children, but also bad for adults, because rates in children affect rates in adults (because that's how infectious diseases work). Here's another way of looking at that.🧵
This plot answers the following questions:

a) if I know Covid rates in school-age children (5-9s & 10-14s), how accurately can I predict rates in adults?

b) which adult age bands will I be able to predict most accurately?

[SPOILER: There aren't going to be any surprises here]
The data set covers the entire pandemic to date in England (30 Jan 20 - 3 Oct 21). The y-axis measures how well we can predict rates for a given adult age group on a given day if we know the rates for 5-14 year olds from 2 days earlier. (A value of 1 would be perfect prediction).
Read 9 tweets
28 Sep
Yes, I understand that not all adults in their 40s are parents of 10-14 year olds (the dashboard data doesn't list parental status, sadly). And that some 20-29s and 55-64s are parents of 10-14s (though not that many). But I hope you can see what I'm driving at in this plot.
Reasonable people can disagree about both the meaning and the import of the extremely high infection rate that we're currently seeing in children. I'm not interested in arguing with people who want to say I'm alarmist.
I'll just note that, *given the scale of the numbers*, the following things can simultaneously be true:

1. Most children who get Covid will experience a relatively mild illness AND a large number of children will have long-lasting symptoms, some very serious.
Read 6 tweets
28 Sep
[28/9 update] I'm switching to a log scale today, partly because of the scale of the numbers (the rate for 10-14s is now > 1400/100k) and because this makes the trends easier to see: growth is slowing in 10-14s, but is increasingly apparent among those in 40s and adjacent ages.
If you're suspicious of log scales, or just want to compare, here's the same plot on a linear scale.
And here's the animated version (log scale).
Read 4 tweets

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