Folkhälsomyndigheten has not reported R since September 5, so thought I'd run the numbers myself, using the same EpiEstim software Folkhalsomyndigheten was using to calculate R, with the parameters they reported. They may have tweaked them, so might be some minor differences.
Friday Stockholm hit ca Rt 1.7, Sweden ca Rt 1.2 😬
Above 1 means you're starting to look at exponential-like growth again.
Tip: "Estim" in the name of the software is short for *estimate* and there's different ways of calculating this.
Addition: As others have noted, FHM is using a different dataset than I am, apparently excluding "mild cases" and various other groups, so we're not going to come up with the same figures.
I'm using the complete case dataset from FHM. This is likely to be a slightly less reliable measure as it's easily affected by testing protocols (or lack of!) but it's also more likely to reflect things as they are happening rather than afterwards.
Which tradeoff you should make is a matter of debate. Speed or accuracy?
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As many of you know, my eldest son has had Long Covid since January 2021. He turned 18 a week ago, and for the last 3 years has essentially been housebound. He's doing high school as a distance course on a reduced load.
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What you may not know is he has a younger brother, now 13. He doesn't appear to have Long Covid, but is home today sick. Again. He's coughing badly and headache. He seems to be getting sick *all the time*.
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We took him to the Doctor about this at the end of last year, they found nothing wrong in various standard tests, and, to quote the letter after all these tests "ended the investigation".
So that was that. Doesn't matter he's sick, as long as the standard tests are OK. 🤷♂️
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This PISSES ME OFF. The Nobel Prize festival tonight, with amongst others @kkariko and Drew Weissman receiving the Nobel Prize for Medicine.
F**cking Anders Tegnell is invited, and says the vaccine saved at least 500000 lives in Europe
Here's the truth about Tegnell ->
March 17 2020 -
At a press conference Tegnell says that vaccines against Covid are at least 5-10 years away. It's one of the justifications for Sweden's "sustainable" approach (and of course, the herd immunity goal)
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March 16 2020 -
The day *before* Tegnell's press conference saying vaccines were 5-10 years away, the first human was injected with the new Moderna vaccine.
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A lot of talk about @Karl_Lauterbach's recent talk referencing 3% risk of Long Covid, so I've done a new version of my Cumulative Risk of Developing Long Covid graph, below, incorporating this figure. I'm not sure which study he was referencing.
Some important caveats in the🧵
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(1) The graph assumes that risk from any particular infection neither increases nor decreases. Much like the odds of rolling a 6 remain the same each dice roll, but the more you roll, the more likely you'll eventually get a six. I've seen studies supporting both directions.
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Note that cumulative risk will *always* increase until or unless the per-infection risk goes to zero, which there is currently no evidence to suggest ever happens. If risk decreases, the curves will rise slower. If it increases, they rise quicker
A recent Swedish study out on risk of Covid infection and severe Covid by profession, using data from Oct20-Dec21 (h/t @WicMar)
No surprise, the most likely to be infected - Prison Guards. After that things get interesting for the Swedish narrative ...
> sjweh.fi/article/4103
HALF of the top 10 riskiest occupations for Covid infection were in occupations working with children, with daycare and primary school teachers at second and third.
Who's not on the list? High school teachers. Sweden closed high schools.
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This should be no surprise to those paying attention. Way back in August 2020, despite false claims by Sweden's Public Health Authority about no school transmissions, their own data showed primary school teachers more at risk than those working remote
> x.com/DavidSteadson/…
Nearly a year ago I posted this graph based on elementary probability mathematics (and for which I was viciously attacked)
At the time there was a lot of differing information about Long Covid prevalence, and in particular the effects of vaccines, variants, and reinfections.
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This week a new study was published in @jama that estimates risk of Long Covid on first infection at 9.7%. For those with multiple infections, the estimate was just over 20% - exactly what the 10% risk grey line in the graph above suggests for people with 2 to 3 infections.
Full study here. It's primarily a (very worthy, imo) effort to offer a more rigid clinical diagnosis definition for Long Covid.