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#SARS2

1 post1 participant0 posts today
Public
Eric's Risk Assessment

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.

journals.plos.org/globalpublic

h/t @DickZoutman

journals.plos.orgDriving under viral impairment: Linking acute SARS-CoV-2 infections to elevated car crash risksThis study explores the linkage between acute SARS-CoV-2 and car crashes across U.S. states, correlating with COVID-19 mitigation strategies, vaccination rates, and Long COVID prevalence. This investigation analyzed aggregate COVID-19 and car crash data spanning 2020–2023, with data collection occurring between March and May 2024. Analysis was done via a Poisson regression model, adjusted for population. Key variables included vaccination status, month-specific effects relating to initial pandemic shutdowns, and Long COVID rates. Results demonstrated a significant association between acute COVID-19 infections and an increase in car crashes, independent of Long COVID 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. Findings suggest significant implications for public health policies, especially in assessing the readiness of individuals recovering from COVID-19 to engage in high-risk activities such as pilots or nuclear plant employees. Further research is necessary to establish causation and explore the exact effects of COVID-19 within the CNS affecting cognition and behavior.
#sars2
Continued thread
Public
sport of sacred spherical cows

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

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 Mar 30–Apr 12. 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 three fifths; JN.1 + FLiRT for near a quarter. For fortnight of 3/16–3/29, 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]: 64% - LP.8.1.1 / NY† & other LP.8.1 XEC [browns]: 2% - XEC.4 15% - other XEC JN.1.11 + FLuQE [greens]: 5% - MC.10.1 & MC.19 1% - MC.28.1 2% - XEQ & other KP.3 3% - MC.1 & other KP.3.1.1 / MC JN.1 + FLiRT [reds]: 4% - LF.7 2% - LB.1.3.1 / NL ¾% - LF.7.2.1 / PC JN.1.11 + FLiRT [blues]: ½% - XEK 0% - KP.2.3 Other [greys]: ⅓% - JN.1.16 ⅒% - other WHO-Vaccine-Target JN.1 0% - Other (not specified) † Dagger variant is not broken out by CDC, yet represent a significant share of recent GISAID sequences.
Replied in thread
Public
datum (n=1)

@DenisCOVIDinfoguy they also cite pubmed.ncbi.nlm.nih.gov/358102

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!!

PubMedPotential autonomic nervous system dysfunction in COVID-19 patients detected by heart rate variability is a sign of SARS-CoV-2 neurotropic features - PubMedIncreasing evidence strongly support that the newly identified severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leads to the development of COVID-19-associated central nervous system (CNS) manifestations. The presence of SARS-CoV-2 viral protein in the brainstem, which includes cardiovas …
#COVID#COVID19#SARS2
Continued thread
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sport of sacred spherical cows

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

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 March 16–29. 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 well over half; JN.1 + FLiRT for over a quarter. For fortnight of 3/2–3/15, 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]: 55% - LP.8.1.1 / NY† & other LP.8.1 XEC [browns]: 21% - XEC.2† & other XEC 2% - XEC.4 JN.1.11 + FLuQE [greens]: 6% - MC.10.1 & MC.19 3% - MC.28.1 2% - XEQ 4% - MC.1 & other KP.3.1.1 / MC ⅘% - other KP.3 JN.1 + FLiRT [reds]: 4% - LF.7 2% - LB.1.3.1 / NL JN.1.11 + FLiRT [blues]: ½% - XEK 0% - KP.2.3 & KP.1.1.3 / LP Other [greys]: ⅖% - JN.1.16 ⅙% - other WHO-Vaccine-Target JN.1 0% - Other (not specified) † Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.
Continued thread
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sport of sacred spherical cows

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

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.
Continued thread
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sport of sacred spherical cows

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

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 March 2–15. 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. JN.1.11 accounts for over three fifths; JN.1.11 + FLiRT for near half. For fortnight of 1/19–2/1, 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]: 47% - LP.8.1.1 / NY† & other LP.8.1 JN.1 + FLiRT-KS [browns]: 26% - XEC.2†, XEC.8† & other XEC 2% - XEC.4 2% - XEQ ⅒% - other KS.1 JN.1.11 [greens]: ¾% - KP.3 15% - MC.10.1, MC.28.1, MC.19, MC.1 & other KP.3.1.1 / MC JN.1 + FLiRT [reds]: 4% - LF.7 3% - LB.1.3.1 / NL 0% - LB.1 JN.1.11 + FLiRT [blues]: ½% - XEK 0% - KP.2.3 & KP.1.1.3 / LP Other [greys]: ½% - JN.1.16 ⅐% - other WHO-Vaccine-Target JN.1 ⅒% - Other (not specified) † Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.
Public
datum (n=1)

"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.

pmc.ncbi.nlm.nih.gov/articles/

ht/ @augieray mastodon.social/@augieray/1141

PubMed Central (PMC)COVID-19 Vaccination and Odds of Post–COVID-19 Condition Symptoms in Children Aged 5 to 17 YearsDoes COVID-19 mRNA vaccination reduce the occurrence of post–COVID-19 condition (PCC) following SARS-CoV-2 infection in children aged 5 to 17 years? In this case-control study with 622 participants, vaccination was associated with a 57% decreased ...
#vaccines#vaccine#COVID19
Replied in thread
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Lykos_Phi

@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 ...

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datum (n=1)

Learn from history. HISTORY INCLUDES THE PAST FIVE YEARS.

Statistics Canada is not falsifying huge datasets. www150.statcan.gc.ca/n1/daily-

The Tyee is not falsifying long form reporting. thetyee.ca/Analysis/2024/07/02

McMaster researchers are chasing health, not grants. healthsci.mcmaster.ca/long-cov (though "can last months" should read "can last months, years, or perhaps never end.")

www150.statcan.gc.caThe Daily — Experiences of Canadians with long-term symptoms following COVID-19As of June 2023, the majority of Canadians had been infected by the virus causing COVID-19. Most people recover from their symptoms and are able to carry on with their lives, however, for many others, symptoms persist for months, often impacting their ability to work and their quality of life overall.
#CovidIsNotOver#LongCOVID#SARS2
Continued thread
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sport of sacred spherical cows

#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

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.
Continued thread
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sport of sacred spherical cows

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

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 Feb 16–Mar 1. 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. JN.1.11 accounts for over three fifths; JN.1.11 + FLiRT for over two fifths. For fortnight of 1/19–2/1, 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]: 42% - LP.8.1.1 / NY† & other LP.8.1 XEC [browns]: 31% - XEC.2†, XEC.8† & other XEC 3% - XEC.4 JN.1.11 + FLuQE [greens]: 5% - MC.10.1 & MC.19 3% - MC.28.1 2% - XEQ 8% - MC.1 & other KP.3.1.1 / MC ½% - other KP.3 JN.1 + FLiRT [reds]: 3% - LF.7 2% - LB.1.3.1 / NL ⅛% - LB.1 & KS.1 JN.1.11 + FLiRT [blues]: ⅘% - XEK 0% - KP.2.3 & KP.1.1.3 / LP Other [greys]: ⅕% - other Pirola BA.2.86 ⅒% - Other (not specified) † Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.
Continued thread
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sport of sacred spherical cows

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.
Continued thread
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sport of sacred spherical cows

#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

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.
Continued thread
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sport of sacred spherical cows

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

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 February 2–15. 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. JN.1.11 accounts for over half; JN.1 + FLiRT for near half. For fortnight of 1/19–2/1, 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: XEC [reds]: 37% - XEC.2†, XEC.8† & other XEC 4% - XEC.4 JN.1.11 + FLiRT [browns]: 31% - LP.8.1.1 / NY† & other LP.8.1 1% - XEK ⅒% - KP.2.3, FDA-Vaccine-Target KP.2 & KP.1.1.3 / LP JN.1.11 + FLuQE [greens]: 3% - XEQ 17% - MC.10.1, MC.1, MC.19 & other KP.3.1.1 / MC ⅗% - other KP.3 JN.1 + FLiRT [blues]: 3% - LF.7 2% - LB.1.3.1 / NL 0% - LB.1 JN.1 + FLiRT-KS [purple]: ⅒% - other KS.1 Other [greys]: ½% - JN.1.16 ⅓% - other Pirola BA.2.86 ⅒% - Other (not specified) † Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.
Continued thread
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sport of sacred spherical cows

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

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 February 2–15. 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. JN.1.11 accounts for over half; JN.1 + FLiRT for near half. For fortnight of 1/5–1/18, 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: XEC [reds]: 37% - XEC.2† & other XEC 4% - XEC.4 JN.1.11 + FLiRT [browns]: 31% - LP.8.1.1 / NY† & other LP.8.1 1% - XEK ⅒% - KP.2.3, FDA-Vaccine-Target KP.2 & KP.1.1.3 / LP JN.1.11 + FLuQE [greens]: 17% - MC.10.1, MC.1, MC.19, MC.8.1† & other KP.3.1.1 / MC 3% - XEQ ⅗% - other KP.3 JN.1 + FLiRT [blues]: 3% - LF.7 2% - LB.1.3.1 / NL 0% - LB.1 JN.1 + FLiRT-KS [purple]: ⅒% - other KS.1 Other [greys]: ½% - JN.1.16 ⅓% - other Pirola BA.2.86 ⅒% - Other (not specified) † Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.
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