#sars2

Eric's Risk AssessmentEricCarroll@zeroes.ca
2025-06-16

A silent virus might be causing major diseases

canadahealthwatch.ca/newslette

> Researchers also believe #EBV plays a role in a wide range of serious conditions — from lupus and certain cancers to rheumatoid arthritis — and may trigger some cases of chronic fatigue syndrome. Some suspect it could be a hidden driver of #longCovid.

archive.is/20250614070846/http

#sars2 #sarscov2

sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-15

FDA vaccine target LP.8.1, dominant since March, plateaued in April. June sees Nimbus NB.1.8.1, scion of "razor-blade throat" XDV, push LP.8.1 out of majority.

#CDC added NB.1.8.1 only in latest, late-published public dataset. Notice of "software error" that heralded data delay… has been removed. Hatching for "less reliable" data reflects "low numbers of sequences being reported".

Raj's dashboard, updated this morning, shows Nimbus diversifying in May. Also, XFJ significant, even if CDC hasn't broken out.

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

Chart: Est. U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, 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 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2† & other Stratus XFG
7% - XFC
0% - XFJ†

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.9 & LF.7.7.2
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-12

Two weeks ago, Mike Honey noted that there are three recombinants that have arrived on Doppelgänger spike proteins, namely XFJ, XFM, and XFP:

aus.social/@mike_honey_/114611

Last week, Xu Zhu (HT D. Focosi) identified a superset of recombinants that have all arrived at a pairing of LF.7's NTD with RBD from elsewhere, namely: XFC, XFG, XFH, XFJ, XFM, XFN and XFP:

x.com/dfocosi/status/193135167

Above variants chart #AnnoPlot script is now updated to favor grouping by such emerging clusters preferentially over grouping by legacy ancestors.

As a reminder, recombinants happen when more than one virus strain is actively replicating in the same organism.

Here, that means two simultaneous infections, from different sources, finding a home in the same person.

When #PublicHealth is a priority, this should be a rare occurrence.

There are seven unique recombinants identified in this new cluster, alone.

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

Chart: Est. U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, 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 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2† & other XFG
7% - XFC

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.7.2, LF.7.9.1 / PY† & other LF.7.9
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-11

FDA vaccine target LP.8.1, dominant since March, plateaued in April. June sees Nimbus NB.1.8.1, scion of "razor-blade throat" XDV, push LP.8.1 out of majority.

#CDC adds NB.1.8.1 only in latest, late-published public dataset. "Software error" that heralded data delay remains unresolved. Hatching for "less reliable" data reflects "low numbers of sequences being reported".

Raj's dashboard, updated Sunday, shows Nimbus diversifying in May.

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

Chart: Est. U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, 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 5/25–6/7. 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.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purples]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [red]:
37% - Nimbus NB.1.8.1 / PQ

JN.1 + FLiRT-LF [browns]:
8% - XFG.2† & other XFG
7% - XFC
4% - LF.7.9.1 / PY† & other LF.7.9
1% - LF.7.7.2 & LF.7.7.1 / PV
⁹⁄₁₀% - other LF.7

WHO-Vaccine-Target JN.1 [green]:
2% - XEC, LB.1.3.1 / NL & XEC.4

JN.1.11 [blues]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [grey]:
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

XFG is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.2.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-07

Since March, LP.8.1 has been dominant. FDA designated same as vaccine target, on very week its share had plateaued.

Data collection continued to be low priority nationally—as exactly zero regions had enough data for CDC to plot.

#CDC released no new data this week, due to "software issue". This after data was delayed two weeks ago by holiday weekend.

The "razor-blade throat" XDV scion, Nimbus NB.1.8.1, near doubled its share in GISAID from two weeks prior, per Raj's dashboard, updated today.

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

Chart: Est. U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, 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 5/11–5/24. 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.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purple]:
73% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1

JN.1 + FLiRT-LF [browns]:
10% - XFC
3% - LF.7.7.2
2% - XFG.2†, XFG†, LF.7.9.1 / PY† & other LF.7
1% - LF.7.7.1 / PV & LF.7.2.1 / PC

WHO-Vaccine-Target JN.1 [red]:
6% - XEC, LB.1.3.1 / NL & XEC.4

JN.1.11 [greens]:
3% - MC.10.1 & PA.1
¾% - KP.3 & XEQ
⅞% - MC.1, MC.19 & other KP.3.1.1 / MC

JN.1.11 + FLiRT31 [blue]:
¼% - XEK

Other [greys]:
0% - XFP† & other WHO-Vaccine-Target JN.1
0% - Nimbus NB.1.8.1 / PQ† & Other (not specified)
_____

XFC is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.1.

XFG is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.2.

XFP is a child of April's JN.1.16.1 kid LF.7 and left-field FLiRT cluster LS.2.1.1.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-05-27

Since March, LP.8.1 has been dominant. FDA designates same as vaccine target, on very week its share has plateaued.

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

No new variants broken out by #CDC, although the "razor blade throat" variant, NB.1.8.1, remains significant in GISAID.

Raj's dashboard was last updated yesterday.

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

Chart: Est. U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, 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 5/11–5/24. 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.

For 4/27–5/10, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purple]:
73% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1

JN.1 + FLiRT-LF [browns]:
10% - XFC
3% - LF.7.7.2
2% - XFG.2†, XFG†, LF.7.9† & other LF.7
1% - LF.7.7.1 & LF.7.2.1 / PC

WHO-Vaccine-Target JN.1 [red]:
6% - XEC, LB.1.3.1 / NL, XEC.4, XEC.4.1† & XFJ†

JN.1.11 [greens]:
3% - MC.10.1 & PA.1
¾% - KP.3 & XEQ
⅞% - MC.1, MC.19 & other KP.3.1.1 / MC

JN.1.11 + FLiRT31 [blue]:
¼% - XEK

Other [greys]:
0% - Razor-Blade-Throat NB.1.8.1 / PQ† & other WHO-Vaccine-Target JN.1
0% - Other (not specified)

_____


XEC is a child of FLiRT cluster KS.1.1 and FLuQE cluster KP.3.3.

XEK is a child of FLiRT31 cluster KP.2.3 and recombinant XEC.

XEQ is a child of FLiRT cluster KS.1.1.2 and FLuQE cluster KP.3.

XFC is a child of FLiRT31 cluster LP.8.1.1 and JN.1.16.1 scion LF.7.

XFG is a child of FLiRT31 cluster LP.8.1.2 and JN.1.16.1 scion LF.7.

[Add'l footnotes omitted.]
datum (n=1)datum@zeroes.ca
2025-05-22

@augieray This is a HUGE effect:

The rate of below-average performance was higher in PCC (56.2%) compared to no-C19 (20.6%) and C19 (15.8%). In divided attention and response inhibition, PCC also showed lower performance, 62.5% and 37.5%, respectively, than no-C19 and C19

Public Health officials should be required to read the rest of the abstract:

The co-occurrence of decreased cognitive functions was pronounced in PCC. The present study revealed significant long-lasting cognitive dysfunction in PCC in young adults, two years after COVID-19 infection. Verbal working memory was significantly impaired, and a lower performance was found in divided attention and response inhibition. In addition, there was an increased reaction time in most cognitive tasks, demonstrating cognitive slowing in young people with PCC.

and the discussion:

based on the results, the lower performance in PCC is related to fluctuation in attention, not a relapse of attention, resulting in increased reaction time in most cognitive tasks, which also demonstrates cognitive slowing, i.e., increased time to process information and respond to it, in young people. In the PCC group, the proportion of below-average reaction time was 68.8% in divided attention (no-C19: 47.1%, C19: 56.1), 56.2% in response inhibition (no-C19: 41.2%, C19: 35.1) and 37.5% in verbal working memory (no-C19: 8.8%, C19: 5.3%). In cognitive flexibility, PCC and C19 showed 25% and 24.6% below-average performance (no-C19: 17.6). Thus, the findings of the present study suggest, in line with our hypothesis, that long-term cognitive dysfunction exists in young adults with PCC compared to those who were not infected and who had COVID-19 infection but did not experience PCC after recovery.

Figure 2 really is suggestive for COVID-19 without PCC / LC cases too: median performance in the divided attention test absolutely plummet for people after COVID-19 without Long COVID, but they compared means which were not significant because of high-end outliers.

#LongCOVID #CovidIsNotOver #LC #PCC #COVID #COVID19 #SARSCoV2 #SARS2 #CovidCompetent #AirborneAware

datum (n=1)datum@zeroes.ca
2025-05-15

Imagine a faith that puts the well-being of people ahead of corporate interests in 2025.

stmargaretscedarcottage.ca/why

THIS is what living a moral life can look like. Caring about others, refusing to perpetuate false narratives, protecting oneself, following evidence as it accumulates.

BONUS: THIS WEEK they're selling ultra-quiet air purifiers at a discount, to fundraise stmargaretscedarcottage.ca/ord

h/t a zero :mastomask: 👍

#BC #Vancouver #CovidIsNotOver #AirborneAware #CovidCompetent #COVID #COVID19 #SARS2 #religion #faith

datum (n=1)datum@zeroes.ca
2025-05-13

This paper nature.com/articles/s42255-025 is interesting. They tested Vitamin B3 in a pill that is

designed to release nicotinamide [a form of Vitamin B3] in the lower small intestine and colon

And found:

1️⃣ Acute COVID-19 might be safely and easily reduced in severity and duration
2️⃣ In general, no improvement in Long COVID rates (here termed Post-COVID syndrome, PCS)
3️⃣ BUT, for people with recovery-like trajectories, they found superior outcomes. This takes a few quotes:

The subgroup was

participants at risk who had shown improvement in the primary endpoint or one of the three key secondary endpoints in the acute phase of the disease

In [this] subgroup, a significant benefit of nicotinamide was also observed in participants with PCS (nicotinamide: n = 48, PCS score 8.33 ± 0.84; placebo: n = 57, PCS score 11.82 ± 1.03; absolute difference: −3.49; 95% confidence interval, −6.1 to −0.86; P = 0.010

Now we all know how Long COVID isn't one single disease. Let's assume for a second that other results that suggest at least one subset has a microbiome component are correct.

As they say "life finds a way" so it would make sense that remnant gut populations could rebound over time and that this subset of LC sufferers might be more likely to have recovery trajectories. (This while we have no treatments for any subset.)

This obviously won't stop the pandemic nor its consequences, but still, here's hoping that there's no patent encumbrance on coating B3 for lower-gut delivery.

Of course here in BC we'll get access the same time we get access to Metformin. ⌛

h/t zeroes.ca/explore I think?

#COVID #COVID19 #SARS2 #LongCOVID #PCS #B3 #VitaminB3 #AirborneAware #CovidCompetent

sport of sacred spherical cowsbeadsland@hcommons.social
2025-05-11

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 low priority nationally—as exactly zero regions have enough data for CDC to plot.

CDC breaks out recombinant XFC from FLiRT parent LF.7 . (Our dataviz now identifies parentage for each recombinant.) Raj's dashboard was last updated today.

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

Chart: Estimated U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, D. Focosi, WHN, 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 4/27–5/10. 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.

LP.8.1 accounts for over two thirds.

For 4/13–4/26, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purple]:
70% - LP.8.1.1 / NY†, LP.8.1.8† & other LP.8.1

JN.1 + FLiRT-LF [browns]:
9% - XFC
3% - LF.7.7.2
2% - XFG† & other LF.7
2% - LF.7.7.1 & LF.7.2.1 / PC

JN.1 + FLiRT [reds]:
2% - LB.1.3.1 / NL
1% - XEC.4
½% - XEQ
6% - other XEC

JN.1.11 [greens]:
3% - MC.10.1 & PA.1
⅓% - KP.3
2% - MC.1, MC.19 & other KP.3.1.1 / MC

JN.1.11 + FLiRT31 [blue]:
⅓% - XEK

Other [greys]:
⅐% - NB.1.8.1†, JN.1.16 & other WHO-Vaccine-Target JN.1
⅒% - Other (not specified)

_____


XEC is a child of FLiRT cluster KS.1.1 and FLuQE cluster KP.3.3.

XEK is a child of FLiRT31 cluster KP.2.3 and recombinant XEC.

XEQ is a child of FLiRT cluster KS.1.1.2 and FLuQE cluster KP.3.

XFC is a child of FLiRT31 cluster LP.8.1.1 and FLiRT cluster LF.7.

XFG is a child of FLiRT31 cluster LP.8.1.2 and FLiRT cluster LF.7.

[Add'l footnotes omitted.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-04-27

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.
Kevin Karhan :verified:kkarhan@infosec.space
2025-04-23

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

sport of sacred spherical cowsbeadsland@hcommons.social
2025-04-14

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.
datum (n=1)datum@zeroes.ca
2025-04-01

@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!!

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

sport of sacred spherical cowsbeadsland@hcommons.social
2025-04-01

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.
Kevin Karhan :verified:kkarhan@infosec.space
2025-03-22
sport of sacred spherical cowsbeadsland@hcommons.social
2025-03-14

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.
sport of sacred spherical cowsbeadsland@hcommons.social
2025-03-14

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.
2025-03-14

«Ройтер» вспоминает локдаун, что был пять лет назад: reuters.com/pictures/life-unde #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
datum (n=1)datum@zeroes.ca
2025-03-08

"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

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

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