Ok didn't get to the computer until now. Here's the graphs, I'll try and do an analysis tomorrow as it looks too steep for now to get a reliable fit to predict with @RiochtConor2@RealEddieHobbs
Looking at my previous prediction, this jump is faster than that so I'll need to do a full fit rather than just replay the fit from previous waves. This is either more infectious or has jump started on the back of an existing infection level
Here's the epi-date report, note that by my analysis 2203 of the positives that should be in today's report were missing from the 14 day graph (which probably means they got moved to days earlier than the 8th of Dec)
Ok here we go for sh1ts and giggles. This is what you get if a wave of 400,000 totoal infections of Omicron started off around the 19th of Dec and followed the same rate of spread as all previous waves in Ireland. If this ends up be correct all NPIs and interventions were useless
The above eyeball fit has maximum daily PCR positives on the 4th of Jan at 15000 or thereabouts. There are not enough data points to make a regression fit which one could stand over.
There is no basis to assume the same Gompertz rate constant, especially as some claim that Omicron is more infectious.
They do not publish the PCR lab test data on weekends, so there is not going to be any ability to update this before Monday. I would not be surprised if it is Wednesday before we get enough data that we could do an actual regression fit.
I also have no clue why we have been on a plateau of 4k positive tests since Nov 11th and none of this makes much sense in that context... but anyway, this might be a 400,000 wave peaking on Jan 4th if all our interventions have been useless and same infectivity as previous waves
I have another hypothesis… based on the epi-dates. Storm Barra caused a deficit in cases around the 7th. Those cases would be delayed in getting tested, but the epi-dates would not. Thus the “hole” should get filled… we’ve seen 4500 cases “escape” the 14-day window, a hole full
But that has created a knock on hole around the 12th… and probably echoing later until capacity was increased… that would create what looks like a surge in cases, but could actually just be a steady 4000 as since Nov 11th
If that’s the case then we won’t know until we see the weekly all time epi date reports in mid January… if they published the full set of epi-date daily data on geohive we could see it sooner though
Ok today's 6994 after yesterday's 5684 does look like the start of something. I'll need another 2-3 days to get a reliable estimate where this is going and when it *should* peak... though I was wrong on the October 22nd->Nov 12th rise so 🤷♂️ @RiochtConor2@RealEddieHobbs
Here's the epi-date data (which is up to yesterday, we'll need to wait for tomorrow to see the effect of today's bumper tests) The second graphs shows the kind of trend we've been tracking, a very slow and steady linear growth of about 25 cases per day on top of a base of 4000
About 2500 cases in the past three epi-date reports were moved to dates before each report's 14 day window, 244 of those cases were for the most recent report published today
Since the 11th of March 2020, every day, almost without fail, my wife has gone to the RTE website and noted down the COVID figures. Finally last night I got her to forward the text file to me and I moved it to a Google Sheet. Here is the link for you. docs.google.com/spreadsheets/d… 1/n
Now there were a few minor issues: 1. She had typed in 186 positives from the German labs on the 11th of April when RTE reported it as 286 2. She had got slightly out of sync between the 18th and 29th of June this year, but I was able to repair the data 2/n
Otherwise, a very interesting data set. We can use this data set to compare with the government's record of COVID cases: covid-19.geohive.ie/datasets/d8eb5… So I imported that into a sheet and compared the two of them. There is a very interesting thing to note, though 3/n
Here is a real world example of why it is important to know what kind of shape an epidemic curve is. I will take Ireland in late 2020 as an example. Some background that is important to know. Late in Dec 2020 Ireland's system for detecting duplicate positives was overloaded 1/n
As a result, the test numbers reported by day were "limited" for a week or so while they scaled up capacity and then worked through the backlog. The backlog was cleared by around Jan 7th. Where exactly this effect kicked in depends on which data set you look at 2/n
I am sad that this happened as it would have been a perfect chance to see if there was any effect of the lockdown that was rolled out from Dec 26th. Anyway just remember the case reporting dates from Dec 20th until Jan 7th were subject to delay 3/n
Since July Ireland's cases has been very strange. To hazard a guess, it looks like 6 or 7 small waves in various population groups, with the most recent and biggest triggered by Oct 22nd relaxing for the fully jabbed. An eyeball fit looks like this! Caveats 1/n @MLevitt_NP2013
In this pure speculation, I am assuming that the rate constant is the same for every wave... just because it looks like it was for the first 3... maybe reasonable... may not... 2/n
To fit the "strange" section I therefor need lots of small Gompertz peaks that manage to add together to give something close to the data. This kind of eyeball fitting is an art rather than a science and can be wildly out. 3/n
This seems like a careful analysis, conclusions don’t look good. Lots of questions to be asked.
I fear this will be dismissed because author didn’t write his SQL queries in SCREAMING CAPS case. 🤦
This is Pfizer’s deaths per lot ordered from worst to best (note lots with 0 deaths reported are missing) this is not a good shaped curve
Best case interpretation I can come up with is that there’s some aspect of the manufacturing process that is poorly understood and leads to some batches just being bad. But the strange thing is this is across three manufacturers and two technologies… which seems odd
So Ireland has had 4 waves of PCR positives. The first three waves look wave shaped. The latest looks like it has been artificially constrained somehow... this could be testing capacity, biased sampling, etc. Need not be deliberate either... but doesn't look like the prior waves
If I look at the shapes of the prior waves, the current wave lost its shape around July 22nd... this is the point at which approx 50% of the population were fully stabbed, 58% had two stabs and needed to wait a week while 67% had had their first stab
Now the thing to note about Ireland is that the official government advice is that fully stabbed people do not need to get tested if they are a close contact of a confirmed case, unless they develop symptoms www2.hse.ie/conditions/cov…