SARS-CoV-2 surveillance by @my_helix update

- New dashboard: you can check all lineages now
Random ex: B.1.1.64 in 4 states (note: I don't know anything about this variant).
https://public.tableau.com/profile/helix6052#!/vizhome/SGTFDashboard/LineagesofInterest
- SGTF info up to Feb 15
- Seq info up to Jan 30

đź§µ with more results
2/

Of the variants of concern, so far we only identified B.1.1.7 (666 times up to Jan 30). No B.1.351 and no P.1

We identified many B.1.429, a variant of interest. It represents about 20% of the sequences we do every day. But sampling is still biased for SGTF
3/

To assess fraction compared to non-SGTF sequenced, you can also get that info from the 2 files on Github with ALL of the data.

Check it out
https://github.com/myhelix/helix-covid19db

- Info on >300,000 positive tests in last 2.5 months
- Info on 2,843 sequences (2/3 are random non-SGTF)
4/

Tip: if you want to quickly download the 2 files on your computer.
- Click on the file on home page ( https://github.com/myhelix/helix-covid19db).
- Then click on "Raw". see picture.
- Then on your Chrome toolbar: File/Save Page as

=> your turn to play.
5/
It is very rewarding to see many use this information.

Example: @scottleibrand analysis of what might happen in next few months https://twitter.com/scottleibrand/status/1362330346763603969?s=20
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@trvrb also referenced @my_helix work in this great thread of what we might expect in next few months. https://twitter.com/trvrb/status/1362438562449293312?s=20
7/
To finish, the usual snapshot of % of SGTF in Florida

Feb 14, 5-day avg was: 16% of positive tests are SGTF.
And experimental evidence support that >90% of these are B.1.1.7

Overall cases going down, vaccination is up, B117 is up. We keep tracking.

@ScottGottliebMD
You can follow @alexbolze.
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