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
What would support the many waves fit would be if the individual waves were seen in the county level data... so you might see one wave in waterford but not on sligo... another wave in dublin, etc 4/n
In any case, irrespective of the other fits... it does look extremely likely that there is a new wave right now that was "triggered" around Oct 22nd. This wave looks to be comparable to last Christmas' wave... but on the level of background at this stage I think +/- 50% error 5/n
The thing I should note is that the wave from last christmas completely ignored lockdown. Only reason it is off on the data points is because we didn't have the capacity to remove duplicates from the cases for 2 weeks after Dec 25th but a fit on up to Dec 24th >95% accurate 6/n
So if this eyeball prediction is correct then cases should top out at around 5000 positives per day by Nov 12th and will have fallen to 2500 positives per day by Nov 25th (assuming there are no new waves after this big one) 7/n
If my above "prediction" is correct I will be very surprised as there is too much uncertainty in the eyeballing I did to draw that last curve, but I think we should be close to the max by Nov 12th (give or take a day) and half that level by Nov 25th (give or take 2) 8/n
I'd like to have a more scientific fit, but I think there is value in the artistic fit as if close then it would indicate that masks dont work (as the rate is the same) and probably the other NPIs too... better to get prediction out now while I work on the science based fit 9/n
Oh and I fully expect "circuit breaker 2: this time it's the non-vaccinated only" to be released around Nov 14th and have zero effect... if it were to have an effect then the half-max level would be moved earlier to at least the 20th Nov... 10/n
Why do I think Circuit Breaker 2 will have no effect? Because it seems screamingly obvious to me that the most recent wave can only be explained by being a "pandemic of the vaccinated" as all the non-vaccinated are still excluded from society and left out eating in the rain 11/n
Now if Circuit Breaker 2 were to do the logical thing, and be a lockdown only of the vaccinated (being that they are the source of the current wave) then that might have an effect... but we are so close to the peak that I suspect it would have little to no effect anyway 12/n
Anyhow. I'm stepping above the parapet and giving a prediction:
* Cases will rise until a max at or around Nov 12th (+/- 1 day)
* Cases will then fall to half their max at or around Nov 15th (+/- 2 days)
NOTE: Assuming there is no further waves triggered
13/n
And finally, any actions the government or NPHET do will not affect the curve in a way that makes cases fall faster... their actions may trigger additional waves or may make cases fall slower... but they will not do anything to make cases lower faster. 14/n
If I am substantially wrong, I will tweet an "It's a fair cop, I was wrong" video of me pouring a bucket of iced water over my head. 15/15
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
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…
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Getting very interesting reports from Israel about the lack of differences between the case rates vs vax status in situations where everyone is tested irrespective of vax status. Would seem to indicate no difference in infection levels, only severity of symptoms.
Of course this would confirm a bias of mine in that I have long suspected that the difference in case rates for vax vs non-vax has just been an artifact of reduced symptoms and perception of superpowers resulting from the use of a term (vaccination) outside of traditional context
But then you hear that just after the analysis was published and the IMoH coincidentally decided to publish a massive retrospective update of the data in question! Anyway I’ll post more when I have more…