#covid19uk - Detailed positive tests thread. Rolling weekly comparison of totals up to 3 days ago. Now colour-coded by Tier. Red is Tier 3, yellow is Tier 2 and blue is Tier 1.
Same as above but with actual counts intead of per 100K population numbers. Both can be useful depending on whether your focus is on "relative numbers" or "understanding spread of daily report numbers".
Comparison of yesterday's and today's top 25 rolling averages per 100K population by specimen date (including lag period). This is intended to give a rough indication of the impact of today's report, to be interpreted along with the charts further down the thread.
The rest of this thread is a set of charts showing different views of rolling 7 day average positives per 100K by specimen date. Starting with all 4 nations:
England Regions:
Wales - Top and bottom 11 (i.e. all 22 of them). Note they may have different Y axis scales to each other.
Northern Ireland:
Scotland - but important to note this is by REPORT DATE as I've discovered the data from the dashboard API isn't what it says it is!
Top 15 of just Upper Tier Local Authorities in England:
Top 15 of both Upper and Lower Tier Local Authorities in England:
North West - Top 12 and bottom 11 (i.e. all 23 of them). Note they may have different Y axis scales to each other
Yorkshire & Humber - Top 10 and bottom 11 (i.e. all 21 of them). Note they may have different Y axis scales to each other
North East / West Midlands / East Midlands / East of England:
London / South East / South West:
North Yorkshire by itself (with Leeds included as a nearby hotspot example, which I know isn't in North Yorkshire!):
Top 5 London vs Top 5 North East Local Authorities:
By request, focus on inner authorities of Lancashire, Manchester and Essex:
New charts of top 10 authorities in Tier 2 and all 6 authoritiries in Tier 3:
New chart comparing England local authorities by new tier system:
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I've been trying to track down the precise source for the "126.8" figure used in the document to recommend the Wales fire-break. I think it's important since they've taken the rare step of publishing the thresholds it was based on, so we can actually monitor it going forwards. 1/
It doesn't explicitly say here what this means other than "cases per 100k". My guess would be weekly cases since it sounds roughly right and that's what they often use. But I couldn't find an exact match in the Wales nation level data. Closest I could find highlighted below:
They do use the word "estimated". Could this mean they've calculated it somehow? Nothing in the supporting documents about this and just says they'll use "Number of confirmed COVID-19 cases" for the transmission circuit-breaker.
#covid19uk - Tables thread. Re-ordered now to put the more popular rate sorted table at the top. So this is to 100 England Local Authorities by positives per 100K population in last 7 days, up to 3 days ago. Bright green means lower than previous period.
#covid19uk - Nations level positive tests thread. Starting with "spaghetti" chart based on today's 19-Oct data. This shows +ve's by specimen date (i.e. when person tested, not when reported) for all upper tier local authorities in England:
Closer view of latest 45 days
And the full range version with the Leicester/Liverpool/Nottingham highlights:
Dashboard for 19-Oct to explain where the #covid19uk total death increase figure of 80 actually comes from. The PHE dataset merge resulted in a net removal of 4 additional deaths today (hence the -4). This moves the 7 day rolling average up by 4.3 to 121.6.
Updated England date-of-death vs. announcement chart. Note that the numbers drop at the end as data is still being actively reported for those dates.
Simple chart to show which specimen dates have been added to in today's #covid19uk data update. Note that on some days, Northern Ireland data isn't reported so look at the nation charts below in the thread for more detal.
Plus all 4 nations separately. Note the different scales.
And England regions, starting with North West, North East, Yorkshire & Humber and West Midlands. Again, note the different scales.