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https://twitter.com/jbloom_lab/status/1638373752332484608But before the authors also calculate the relative risk to encounter SARS-CoV2 positive samples across the market & that gave the same conclusion...
https://twitter.com/WashburneAlex/status/1638276108264275968Especially since the original preprint included statements like a sample from a feather removal machine only containing human DNA and stuff like that.
https://mobile.twitter.com/TWenseleers/status/1638410987396292608
https://twitter.com/TWenseleers/status/1637173175342563331
The evidence should even satisfy eternal contrarian @BallouxFrancois: there is a positive association between samples with high Sars-Cov2 read content & the ones containing raccoon dog reads. What more could one wish?
When I say 10 I'm not counting 2 smaller waves in fact. So some might put it at 12. Two weeks ago this fit already detected a changepoint (ie growth in infections starting again).
Also in England XBB.1.9.1 is taking off fast...
https://twitter.com/AdeleGroyer/status/1621076701018030081
Likewise, decline in Covid hospitalisations has also stopped again in the Netherlands & Germany... https://twitter.com/AlmaTostmann/status/1620812392799293442
https://twitter.com/nicolasberrod/status/1620835486297387010
And now also a ChatGPT coauthored paper out on Pubmed... pubmed.ncbi.nlm.nih.gov/36549229/
https://twitter.com/MoritzGerstung/status/1610271191188623362Here is the current daily growth rate advantage (in % per day) of different variants relative to the dominant type BQ.1*. XBB.1.5* is the clear winner & this initial advantage is at least as large than the one that BQ.1* had at an equivalent share in the population.

The latest SGTF data show XBB.1.5 is at ca 30% the first week of Jan 2023, which is in fact in line with this week's CDC nowcast (but the SGTF data is much more accurate, as it's actual data, not a nowcast, and based on a much larger sample size). observablehq.com/@andy-bloch/wa… 

https://twitter.com/C_Althaus/status/1610633703759175680
In Belgium baseline expected mortality (in absence of Covid) was now ca. 110K deaths/y. Covid being projecting to add ca. 5 500-11 000 deaths/year is a tad high I think - but possible that death toll of ca 5K Covid deaths we had this year will not massively improve in the future.
https://twitter.com/RajlabN/status/1610024311812661250
https://twitter.com/BallouxFrancois/status/1609095339604148226...which misclassifies most XBB.1.5* as XBB.1 or BA.2. The actual GISAID data, using Nextclade Pangolin XBB.1.5% show it is indeed at 40% already in the US & at 56% in New York state. It has a logistic growth rate of 0.14 per day, which is very fast. cov-spectrum.org/explore/United…

https://twitter.com/TWenseleers/status/1589554986983206913
Hospitalisation figures have also been on the rise again in France for a little while now. https://twitter.com/nicolasberrod/status/1598362123960258565
Toen hij gebouwd werd was zo wat iedereen er tegen. In de jaren '70 werd hij door KBC ei zo na gesloopt & het art deco interieur gestript. Als men hem als erfgoed had willen beschermen had men dat duidelijk toen moeten doen. gva.be/cnt/dmf2022112…
https://twitter.com/TijlDeBie/status/1593921218490470400

Eigenlijke data: golf iets kleiner dan de vorige. Wat is het probleem eigenlijk? Dat België een succesvolle vaccinatiecampagne heeft opgezet die heel wat hospitalisaties & sterfte heeft kunnen voorkomen?
Same pattern for confirmed Covid deaths: over the long term an exponential decline.
https://twitter.com/yunlong_cao/status/1584232974689521667Note: this does not mean XBB & BQ.1.1 will cause a massive wave again. Rather, based on observed growth rate advantage (ca. 0.11/day) & expected impact on R value I would - in terms of infections - expect a wave of similar magnitude than BA.5. (R code at github.com/tomwenseleers/…)