I dusted off my COVID-19 model (that predicted the Florida July wave) & applied it to Sweden
After today's data update from the Swedish Public Health Agency (FHM) I confidently forecast Sweden will surpass the peak of 100 COVID deaths/day they had in April
Hard to believe?
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Specifically: by 25 December we will see Sweden has recorded 100 deaths/day around 11 December
(due to reporting delays, it takes up to 2 weeks past a given date to have a complete count of deaths on this date:
͏@VoidSurf1 wrote a cool thread on Sweden excess deaths over the last few centuries. At first sight, his analysis seems correct... But there is a fatal flaw.
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COVID deaths & hospitalizations always lag cases. The lag has been demonstrated, is often 𝗺𝗼𝗿𝗲 than a month, and its timing can be predicted accurately (I have done it.) The #casedemic folks are just, well, wrong.
A thread explaining the lag with real-world examples.
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I will show what causes the lag, and how I can predict it accurately. First, there are multiple causes behind it:
It applies various age-stratified IFR estimates to calculate the expected overall IFR in a given country. It's based on demographics (countries population pyramids): github.com/mbevand/covid1…
Many interesting findings—read on
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First off, I use five different sources estimating the age-stratified Infection Fatality Ratio of COVID-19:
1. ENE-COVID 2. US CDC 3. Verity et al. 4. Levin et al. 5. Gudbjartsson et al.
If you know of more sources, let me know and I'll add them to my script
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So, what do we find?
The overall IFR estimates, with the exception of Levin et al., are relatively consistent with each other, usually within 30-40%. Levin et al. is up to 2-fold higher than the others, depending on the country.
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Eg. people often incorrectly quote the abstract of thelancet.com/journals/eclin… but the authors write the results are in fact inconclusive. See my comment at