Lmst

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

Chart: Estimated U.S. Variant Proportions by Common Name
Sources: Centers for Disease Control, CoV-Lineages, NYITCOM Research, Daniele Focosi, World Health Network, others

[ beadsland on Ko-fi ]

Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.

Five bar-style tree-charts, for fortnights through April 13–26. Legend of last fortnight, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.

Essentially all WHO-Vaccine-Target JN.1. LP.8.1 accounts for over two thirds; JN.1 + FLiRT for near a quarter.

For fortnight of 3/30–4/12, packed bubble charts fill single-variant tiles, indicating diversification of those variants (per GISAID) that wouldn't otherwise be apparent from CDC's Nowcast.

Legend:

LP.8.1 [purple]:
69% - LP.8.1.1 / NY† & other LP.8.1

JN.1 + FLiRT-KS [browns]:
1% - XEC.4
¾% - XEQ
10% - other XEC

JN.1 + FLiRT [reds]:
6% - LF.7.7.2
4% - LF.7.7.1, LF.7 & LF.7.2.1 / PC
2% - LB.1.3.1 / NL

JN.1.11 [greens]:
3% - MC.10.1, MC.28.1 & MC.19
2% - PA.1
½% - KP.3
2% - MC.1 & other KP.3.1.1 / MC

XEK [blue]:
⅜% - XEK

Other [greys]:
⅙% - JN.1.16
⅒% - NB.1† & other WHO-Vaccine-Target JN.1
¼% - Other (not specified)

† Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.

@COVID19_DISEASE #RFKjr. acts like the #CCP because they too got away with it re: #SARS2...

Driving under viral impairment: Linking acute #SARSCoV2 infections to elevated car crash risks | PLOS Global Public Health

> Results demonstrated a significant association between acute #COVID19 infections and an increase in car crashes, independent of #LongCOVID status to the tune of an OR of 1.25 [1.23-1.26]. This association was observed despite varying mitigation efforts and vaccination rates across states. The study found no protective effect of vaccination against car crashes, challenging prior assumptions about the benefits of vaccination. Notably, the risk associated with COVID-19 was found to be analogous to driving impairments seen with alcohol consumption at legal limits.

https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0004420

h/t @DickZoutman

#sars2

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: https://hcommons.social/@beadsland/114163320179234281

Raj's dashboard was updated on today.

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

Calculate your personal #longCOVID risk

https://www.uq.edu.au/news/article/2024/07/calculate-your-personal-long-covid-risk

The calculator:

https://corical.immunisationcoalition.org.au/longcovid

#sars2 #sarscov2 #covid19

@DenisCOVIDinfoguy they also cite https://pubmed.ncbi.nlm.nih.gov/35810238/

which has this absolute adjective of a hypothesis:

SARS-CoV-2 may bind to ACE2 in order to enter the host brainstem cell and change baroreflex sensitivity

because

The integral parts of the brain renin-angiotensin system, as ACE2 enzyme, are highly expressed in the brainstem, which may also be involved in baroreflex sensitivity, playing an important role in HRV.

which would help explain POTS!!

#COVID #COVID19 #SARS2 #SARSCoV2 #CovidIsNotOver #health #maskUp #cleanAir #AirborneAware #LongCOVID

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: https://hcommons.social/@beadsland/114163320179234281

Raj's dashboard was updated on Sunday.

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

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: https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

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

Map: Nowcast Estimates for 3/2/2025 - 3/15/2025 by HHS Region
Source: Centers for Disease Control

Map shows pie charts for three of ten regions, reflecting regional estimated proportions for specimens collected for the most recent biweekly reporting period.

Bold text over Canada portion of map reads: "Nowcast estimates are only available for HHS regions having at least 300 sequences in the two weeks ending 02/15/2025".

Dominant strains by tracked region:

NY/NJ: LP.8.1 (orange) 47%, XEC (clover) 22%, LF.7 (dirty blue) 5%, LB.1.3.1 (fountain blue) 5%.

Mid-Atlantic: LP.8.1 (orange) 42%, XEC (clover) 25%, MC.28.1 (flat blue) 8%, KP.3.1.1 (sea bluish cyan) 5%.

Great Lakes: LP.8.1 (orange) 60%, XEC (clover) 24%, KP.3.1.1 (sea bluish cyan) 4%.

Of ten regions, seven regions are blank.

ALT-text by beadsland at ko-fi.

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

«Ройтер» вспоминает локдаун, что был пять лет назад: https://www.reuters.com/pictures/life-under-lockdown-how-we-lived-five-years-ago-2025-03-12/ #AthitPerawongmetha #SARS2 #lockdown #Thailand #exams #school #2020s

Школьницы сдают очный письменный экзамен, каждая ученица сидит за индивидуальной партой внутри полупрозрачного ящика — бывшей урны для голосования. 1 июля 2020 года, провинция Патхумтхани, Таиланд // Students sit behind old ballot boxes repurposed into partitions as they attend class in Pathum Thani province, Thailand, July 1, 2020. Photograph by Athit Perawongmetha. // 2020 © Athit Perawongmetha

"57% decreased odds of 1 or more PCC symptoms and a 73% decreased odds of 2 or more PCC symptoms" - that's dramatically lower odds of a child suffering:

➡️ unable to remember
➡️ unable to focus
➡️ unable to exercise
➡️ headache
➡️ insomnia
➡️ lightheadedness, fainting
➡️ extreme fatigue
➡️ loss of vivacity, joie de vivre
➡️ personality changes
➡️ hospitalization and death

Protect your children.

Otherwise, if they survive, they will wonder why you didn't protect them, when it costs only the time to get vaccinated, and a few pennies a day N95s and HEPA filters.

Otherwise, you might find yourself mourning the potential you KNEW your child had, and desperately hoping for treatments.

Treatments may never come. Neurons don't come back. Developmental windows close.

Don't be the ghoul that condemns your children, don't strip their future because it's not cool to mask. It might not be cool to wear a bike helmet either. Concussions can't be undone, either. Don't usher your children willingly into suffering and disability.

DON'T FUCKING STACK THE ODDS AGAINST YOUR KIDS.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11851240/

ht/ @augieray https://mastodon.social/@augieray/114128494000879104

#vaccines #vaccine #COVID19 #CovidIsNotOver #SARS2 #SARSCoV2 #COVID #CovidCompetent #AirborneAware #maskUp #pediatrics #pandemic #disease #LongCOVID #LC #LCKids #LongCovidKids

@Chaotica Nicht zu vergessen die zu oft direkte Wirkung auf das Gehirn, die regelrechte Zerstörung der Fähigkeit der Risiko-Gefahren-Abschätzung durch #Sars2 im FrontalCortex - was sicher mit dazu beigetragen hat, dass sogar gesellschaftlich die Gesundheitsfürsorge des Pandemie-Endemie-Schutzes eingestellt bis sogar bekämpft wurde und wird.

Dass dann mit zerstörter Risiko-Gefahren-Wahrnehmung+Urteilsfähigkeit auch die Empathie-Fähigkeit - welche durchaus damit zusammenhängt - mit draufgeht ...

Learn from history. HISTORY INCLUDES THE PAST FIVE YEARS.

Statistics Canada is not falsifying huge datasets. https://www150.statcan.gc.ca/n1/daily-quotidien/231208/dq231208a-eng.htm?HPA=1

The Tyee is not falsifying long form reporting. https://thetyee.ca/Analysis/2024/07/02/What-We-Can-Do-Long-COVID/

McMaster researchers are chasing health, not grants. https://healthsci.mcmaster.ca/long-covid-what-you-need-to-know-about-post-covid-19-condition/ (though "can last months" should read "can last months, years, or perhaps never end.")

#CovidIsNotOver #LongCOVID #SARS2 #SARSCoV2 #COVID19 #CovidCompetent #COVID #StatisticsCanada #statistics #history #publicHealth

#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: https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

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

Map: Nowcast Estimates for 2/16/2025 - 3/1/2025 by HHS Region
Source: Centers for Disease Control

Map shows pie charts for one of ten regions, reflecting regional estimated proportions for specimens collected for the most recent biweekly reporting period.

Bold text over Canada portion of map reads: "Nowcast estimates are only available for HHS regions having at least 300 sequences in the two weeks ending 02/01/2025".

Dominant strains by tracked region:

NY/NJ: LP.8.1 (orange) 44%, XEC (clover) 26%, KP.3.1.1 (sea bluish cyan) 6%, XEC.4 (mint green) 6%.

Of ten regions, nine regions are blank.

ALT-text by beadsland at ko-fi.

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

@cbarbermd It's sad we built all these anonymous BT contact tracing apps monitoring, and learnings back during #SARS2, and we can't leverage any of it.

https://blog.google/inside-google/company-announcements/apple-and-google-partner-covid-19-contact-tracing-technology/

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

Chart: SARSCoV2 Variant Dashboard - USA | 30-DAY TRENDS
Source: NYITCOM Research Report (Raj Rajnarayanan)

Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 30 days | Updated on 2/16/2025 4:45:09 AM [GMT?] | Source (sequences): GISAID

Packed-bubble chart showing tallies of each identified variant for each state, for collection dates 1/19/2025 to 2/1/2025. Top subvariants: XEC (24.06%), LP.8.1 (11.11%), LP.8.1.1 (9.8%), MC.10.1 (5.34%), MC.1 (4.23%), XEC.2 (4.09%).

Raj has standardized bubbles to violet (BA.2.86.*), aqua green (XBB.1.16.*), forest green (XEC, a recombinant of two B.2.86 strains), and yellow (LP.8.*). although some newer Pango aliases may still be getting unique colors assigned by Tableau.

Bubbles largest and most prominent for: XEC (forest) for New York (59), Colorado (53), Minnesota (25), New Jersey, California, Illinois, Nebraska, Iowa, Pennsylvania, Virginia, Delaware, Rhode Island; LP.8.1 (yellow) for New York (43), California, Iowa, Colorado, Delaware; LP.8.1.1 (yellow) for New York (36), Illinois (33), Minnesota, California; XEC.8 (forest) for Nebraska (24); XEQ (aqua) for Colorado (23).

Many dozens of bubbles of varying sizes representing near a hundred variants across various states.

ALT-text by beadsland at ko-fi.

Chart: Variants by Pango-Designated Lineage: U.S. Jan 19 to Feb 1
Source: GISAID (via Raj Rajnarayanan's COVID-19 Variant Dashboard, updated Feb 16)

[ beadsland on Ko-fi ]

Pie chart of major lineages, with lesser lineages bundled together by common alphanumeric initial character. Call-outs for each pie slice list number of variants counted and provide a percentage of pie.

Percentage is in a dull grey font, to which a dark backing has been applied to aid legibility.

Color key of pie slices aligns to that of latest "Estimated Variant Proportions by Common Name" (earlier in this thread), namely:

• Browns: JN.1.11 + FLiRT
• Greens: JN.1.11 + FLuQE
• Reds: XEC
• Purple: JN.1 + FLiRT-KS
• Blues: JN.1 + FLiRT
• Greys: Other

Reading clockwise from top:
- Multiple unlabeled slivers of grey and tan brown.
4.0% - KP.3.1.1 / MC [green]
- Unlabeled slice green.
1.9% - LB.1.3.1 (1 variant) [green]
- Unlbl. sliver of grey.
4.8% - LF.7 (8 variants) [blue]
9.8% - LP.8.1.1 (1 variant) [brown]
11.7% - LP.8.1 (2 variants) [brown]
- Unlbl. sliver tan.
5.7% - MC.1 (4 variants) [green]
Unlbl. sliver green.
5.3% - MC.10.1 (1 variant) [green]
- Two unlbl. slices green.
4.3% - other MC (17 variants) [green]
- Unlbl. slice grey.
2.3% - NL (4 variants) [blue]
1.2% - NC, NF, NB, NA, … [grey]
6.1% - XEC.2 (4 variants) [red]
1.8% - XEC.4 (1 variant) [pink red]
3.1% - XEC.8 (1 variant) [red]
28.9% - other XEC (12 variants) [red]
- Unlbl. slice tan.
2.4% - XEQ (1 variant) [grey]
- Unlbl. sliver grey.

#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: https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

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

Map: Nowcast Estimates for 2/2/2025 - 2/15/2025 by HHS Region
Source: Centers for Disease Control

Map shows pie charts for three of ten regions, reflecting regional estimated proportions for specimens collected for the most recent biweekly reporting period.

Bold text over Canada portion of map reads: "Nowcast estimates are only available for HHS regions having at least 300 sequences in the two weeks ending 01/18/2025".

Dominant strains by tracked region:

NY/NJ: LP.8.1 (orange) 34%, XEC (clover) 33%, KP.3.1.1 (sea bluish cyan) 9%, XEC.4 (mint green) 7%.

Great Lakes: LP.8.1 (orange) 38%, XEC (clover) 37%, KP.3.1.1 (sea) 6%.

Mtn/Dakotas: XEC (clover) 44%, LP.8.1 (orange) 16%, XEQ (slate blue) 14%, MC.10.1 (sapphire blue) 7%, KP.3.1.1 (sea) 6%.

Of ten regions, seven regions are blank.

ALT-text by beadsland at ko-fi.

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

#sars2

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