Here is the justification document for which regions were placed into each tier from 2 December.

A walkthrough thread.

assets.publishing.service.gov.uk/government/upl…
This updates the Government's prior systems, documented here:
Here's the summary chart.
Data can be found at the Government data site
coronavirus.data.gov.uk
and the PHE weekly reports (which lag by a week in order that the latest data can come in).

Here's a commentary on today's:
These are summarized in my heatmaps thread here:
So, back to the Government's justification for the tiers. It appears to be based on this chart.
It's a complicated chart, so let's take a look. On the x axis (left to right), we have the case rate per 100,000 on 19 November. And on the y axis (up and down), we have the previous week's case rate. And the size of the circles show the rates in over 60s.
Compare this to the @ft analysis originally performed by @carlbaker

The @ft analysis by @jburnmurdoch shows a similar analysis to the circles chart here:

Back to the Government chart
At first glance, it appears that the predominant factor that has been used is the rate per 100,000 population, with tier breaks at around 80 (to go from Tier 1 to Tier 2) and 220 (from Tier 2 to Tier 3).
It is not clear why these levels have been used - for example, we have Slough separated, but Greater Manchester included, as well as Birmingham & Black Country, and North East. Not all of these are Local Authorities. It is unclear why analysis was performed on these.
Previous analysis has been performed at regional level, at Upper Tier Local Authority level, Lower Tier Local Authority level, or MSOA level (LSOAs were used briefly)
This is the heuristic used to allocate 'areas' to tiers.

The thresholds here have not been made clear, nor have how indicators have been mapped to tiers. It is not clear how 'subregions' have been identified.

It would be useful to have more detail on this.
We then have detailed proposals (page 9 onwards) for tiers and a justification of recommended tier level.
These were announced in a ministerial statement (which was corrected after question marks were removed from the original statement) questions-statements.parliament.uk/written-statem…
So, my questions:
- why was the analysis carried out (mainly) on upper tier local authorities
- why does North East appear to be grouped
- why is just Slough separated out
- how are the other factors e.g. positivity included
- how is the analysis different from 80/220 tier levels
Compare the North East and South East analyses:
NE grouped into only 2 analysis units
Slough treated separately.

Who decided to use combined authorities for the analysis instead of local authorities? What criteria were used?

en.wikipedia.org/wiki/Combined_…
And... why were the North East combined authorities (NE Combined Authority & Tees Valley CA) treated as the two NE units for analysis when in the South West the West of England combined authority was split up for analysis?

This seems inconsistent.

westofengland-ca.gov.uk
In order to maintain confidence in the proposed tier system, we need to ensure transparency.

We need to be clear on the weighting of the different criteria *prior* to decisions being made. At the moment, case rates appear to be most important (see boundaries added below)
We need to ensure that there is consistency in the type of geographical areas used:
- In most cases, local authorities are used
- In the north east, *combined* authorities are used
- but in the south west, a travel-to-work area is used

This can create perceived inequity.
There should be an objective process for defining these areas otherwise it becomes a political process e.g. Villages story in Telegraph. Risk is JBC is doing calculations on geographical areas that are set politically rather than objectively.

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More from @Dr_D_Robertson

26 Nov
As soon as we come out of lockdown, we will have one million students moving around the country returning home. Some of these will be infected and will go on to spread the virus. Here's the latest data from PHE showing transmission last week in lockdown

We also have a significant issue when schools break up. These are the latest data for outbreaks in schools

Schools break up around 19 December. What happens if children are infected on the last day of term?
Read 5 tweets
26 Nov
Here are my heatmaps for the data published by @PHE_uk on 26 November. A thread.
Detected cases falling in each age group. Smallest relative fall in 5-9 year olds. Largest relative fall in 20-29 year olds
Here is the monochrome version.
Read 7 tweets
26 Nov
Here is my commentary on @PHE_uk's Covid surveillance report for week 48 (up to week 47 data) released on 26 November 2020.

The headline:
"Surveillance indicators suggest that COVID-19 activity at a national level has decreased during week 47."
Cases and positivity have finallly decreased. This is very good news, but expected taking into account the effects of Lockdown 2.
Where are the detected cases this week?
Read 12 tweets
26 Nov
With Tier 3 regions now having access to mass testing, this could lead to higher case rates (due to more positive cases being detected from these tests) and the likelihood that these areas stay in Tier 3 for longer.
When areas are reviewed on 16 December, we should take into account the number and type of tests being performed in each area.

Unfortunately, the data we now have doesn't distinguish between symptomatic (PCR) and asymptomatice (LFD with positives confirmed by PCR)
Demand for testing has also fallen, with the number of tests undertaken not following the trajectory of ONS survey data.

One way of analyzing this is to look at positivity (see here: ) by area rather than age.

Unfortunately, this data is not published.
Read 4 tweets
23 Nov
Oxford university:
"we will be able to offer two lateral flow tests to all students in 8th week so that you can safely travel home for Christmas confident that you will not be endangering the health of your family and friends. "

I do not agree with the wording of this statement
First, these are lateral flow tests meaning a false negative rate of say 3 out of 4 - so if you have the virus, it will detect this three out of four times...
Also, these are only results *on the day of the test*.

It *does not* mean you are not going to be infecious when you return home
Read 4 tweets
23 Nov
Excellent news that the Oxford AstraZeneca vaccine is effective

astrazeneca.com/media-centre/p…

Two different regimens were used...
"One dosing regimen (n=2,741) showed vaccine efficacy of 90% when AZD1222 was given as a half dose, followed by a full dose at least one month apart, ...
"and another dosing regimen (n=8,895) showed 62% efficacy when given as two full doses at least one month apart. ...
Read 4 tweets

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