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#variants

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Updated #CDC estimates show we'd pretty much been in a JN.1.11 soup since Dec, until late March, when LP.8.1 took majority.

Data collection continues to be a low priority nationally, as exactly zero regions have enough data for CDC to plot.

Two children of LF.7.7, dot1 and dot2, broken out by CDC, together with PA.1, a grandchild of MC.10.

Raj's dashboard was last updated a week ago today.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

Updated #CDC estimates show we've pretty much been in a JN.1.11 soup since Dec, until late March, when LP.8.1 took majority.

Data collection continues to be a low priority nationally, as exactly zero regions have enough data for CDC to plot.

No new variants broken out, yet CDC seems to have resources to tailor their color key: hcommons.social/@beadsland/114

Raj's dashboard was updated on today.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

Updated #CDC estimates show we've pretty much been in a JN.1.11 soup since Dec, until late March, when LP.8.1 took majority.

Data collection continues to be a low priority nationally, as only one region (NY/NJ) has enough data for CDC to plot.

No new variants broken out, yet CDC seems to have resources to tailor their color key: hcommons.social/@beadsland/114

Raj's dashboard was updated on Sunday.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

Second time #CDC has reported estimates for more than two regions at a time since October.

To be clear, national data used for chart above are modeled on regional data collection.

LP.8.1 now estimated at majority in Great Lakes, nearing majority in NY/NJ and Mid-Atlantic.

XEC (incl. XEC.4) still around a quarter share in all three regions.

[For color key, see: covid.cdc.gov/covid-data-track]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Continued thread

A FLuQE wavelet opened September, cresting as KP.3.1.1 / MC wave into November. FDA's second-guess vaccine target, KP.2, dropped out in December. Updated #CDC estimates indicate we've been in a JN.1.11 soup pretty much since then.

No new variants broken out by CDC, as KP.1.1.3 / LP descendant LP.8.1 approaches majority.

No recent GISAID data—as Raj's dashboard hasn't updated in near a month.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

#CDC has long time now been piloting the craft of #PublicHealth sans navigational equipment.

To be clear, national data used for chart above are modeled on regional data collection.

Given little data we do have, LP.8.1 now estimated as nearing majority status in NY/NJ, with XEC (incl. XEC.4) still near a third share.

As for other regions?

[For color key, see: covid.cdc.gov/covid-data-track]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Continued thread

After January's FLiRT soup (JN.1 and JN.1.11 lineages vying for dominance), we've returned to JN.1.11 soup (FLiRT and FLuQE clusters competing), that began when FLuQE majority ended in November.

#CDC breaks out a new FLuQE variant, MC.28.1, even as being squeezed by LP.8.1 fam.

Raj updated global dashboard Sunday, incl. hundreds of U.S. samples early Feb. Still await updated U.S. dashboard.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

Updated GISAID data for late January has FluQE31 KP.3.1.1 / MC and children down to just over a fifth of all sequences.

FLiRT KS.1.1 / FLuQE KP.3.3 hybrid XEC down near two fifths.

LP.8.1 and child LP.8.1.1 / NY together already another fifth.

Meanwhile, in remaining fifth:
• JN.1 FLiRT descendant LF.7 remains diverse despite pressure; and
• XEQ (recombinant of FLiRT KS.1.1.2 and KP.3) continues to stand out.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne

Continued thread

#CDC has long time now been piloting the craft of #PublicHealth sans navigational equipment.

To be clear, national data used for chart above are modeled on regional data collection.

Given little data we do have, LP.8.1 has gained plurality status in NY/NJ and Great Lakes regions, XEC still majority in Mtn/Dakotas, with cousin XEQ prominent.

[For color key, see: covid.cdc.gov/covid-data-track]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Continued thread

After January's FLiRT soup (JN.1 and JN.1.11 lineages vying for dominance), we've returned to JN.1.11 soup (FLiRT and FLuQE clusters competing), that began when FLuQE majority ended in November.

After no data two weeks ago, #CDC updated variant estimates.

Raj has updated dashboard Sunday with new GISAID sequences. As of data two weeks ago, XEC.8 joins XEC.2 and LP.8.1.1 / NY as significant.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

After no data two weeks ago, #CDC updates variant estimates.

After January's FLiRT soup (JN.1 and JN.1.11 lineages vying for dominance), we've returned to JN.1.11 soup (FLiRT and FLuQE clusters competing), that began when FLuQE majority ended in November.

There's been insufficient GISAID data for Raj to update U.S. dashboard. Might assume LP.8.1.1 / NY continues to drive growth of LP.8.1 fam.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Continued thread

A FLuQE wavelet opened September, becoming MC wave into November. December saw both FLiRT clans and JN.1.11 vie for dominance, only for JN.1 FLiRT to win out.

Although #CDC did update metadata today, data remains unchanged from two weeks ago.

At that time, FLiRT KS.1.1 / FLuQE KP.3.3 hybrid XEC family—never having reached majority—was being pressed by FLiRT LP.8.1.

New GISAID data from Raj.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis