How do aerosols deposit in a mask?
This is an excerpt from a video where Dr Al Haddrell explains how aerosol is deposited in the lungs.
@ukhadds.bsky.social
Updated GISAID data early-mid January has FluQE31 KP.3.1.1 / MC and children down to under a third of all sequences.
FLiRT KS.1.1 / FLuQE KP.3.3 hybrid XEC now over two fifths.
JN.1 FLiRT descendant LF.7 is diversifying, while LP.8.1.1 / NY, MC.8.1, and XEQ (recombinant of FLiRT KS.1.1.2 and KP.3) all 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 1/31/2025 6:43:47 AM [GMT?] | Source (sequences): GISAID
Packed-bubble chart showing tallies of each identified variant for each state, for collection dates 1/5/2025 to 1/18/2025. Top subvariants: XEC (26.32%), KP.3.1.1 (8.61%), LP.8.1 (5.74%), XEC.2 (4.23%), MC.10.1 (4.18%).
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) in Ohio (171), New York (85), Colorado (58), Minnesota (46), New Jersey, Iowa, Utah; KP.3.1.1 (violet) for Ohio (58), Minnesota, New York; MC.8.1 (violet) for Ohio (51); XEQ (aqua) for Colorado (34); LP.8.1 (yellow) for New York, Ohio.
Many dozens of bubbles of varying sizes representing over a hundred variants across various states.
ALT-text by beadsland at ko-fi.](https://spaces.hcommons.social/media_attachments/files/113/925/598/052/682/439/original/4b72cd6231c464fe.png "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 1/31/2025 6:43:47 AM [GMT?] | Source (sequences): GISAID
Packed-bubble chart showing tallies of each identified variant for each state, for collection dates 1/5/2025 to 1/18/2025. Top subvariants: XEC (26.32%), KP.3.1.1 (8.61%), LP.8.1 (5.74%), XEC.2 (4.23%), MC.10.1 (4.18%).
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) in Ohio (171), New York (85), Colorado (58), Minnesota (46), New Jersey, Iowa, Utah; KP.3.1.1 (violet) for Ohio (58), Minnesota, New York; MC.8.1 (violet) for Ohio (51); XEQ (aqua) for Colorado (34); LP.8.1 (yellow) for New York, Ohio.
Many dozens of bubbles of varying sizes representing over a hundred variants across various states.
ALT-text by beadsland at ko-fi.")
![Chart: Variants by Pango-Designated Lineage: U.S. Jan 5 to 18
Source: GISAID (via Raj Rajnarayanan's COVID-19 Variant Dashboard, updated Jan 31)
[ 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:
• Purples: JN.1.11
• Reds/Pinks: JN.1.11 + FLiRT
• Browns: JN.1.11 + FLiRT-LP
• Blues: XEC
• Greens: JN.1 + FLiRT
• Greys: Other
Reading clockwise from top:
- Multiple unlabeled slivers of grey and pink.
8.6% - KP.3.1.1 / MC [purple]
- Unlabeled purple sliver & grey sliver
2.2% - LB.1.3.1 (1 var) [green]
- Unlabeled green sliver
3.4% - LF.7 (10 variants) [green]
3.9% - LP.8.1.1 (1 var) [brown]
5.9% - LP.8.1 (2 variants) [brown]
- Unlabeled brown and grey silvers
5.2% - MC.1 (5 variants) [purple]
3.4% - MC.8.1 (2 variants) [purple]
4.2% - MC.10.1 (1 var) [purple]
- Two unlabeled purple slices
8.5% - other MC (22 variants) [purple]
- Unlabeled grey slice
1.4% - NL (4 variants) [green]
- Unlabeled grey slice
5.7% - XEC.2 (5 variants) [blue]
2.0% - XEC.2 (1 var) [blue]
34% - other XEC (10 variants) [blue]
1.6% - XEK (4 variants) [red orange]
3.0% - XEQ (1 var) [grey]
- Unlabeled grey slice](https://spaces.hcommons.social/media_attachments/files/113/925/598/461/876/410/original/409a1e8fa79e0fd6.png "Chart: Variants by Pango-Designated Lineage: U.S. Jan 5 to 18
Source: GISAID (via Raj Rajnarayanan's COVID-19 Variant Dashboard, updated Jan 31)
[ 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:
• Purples: JN.1.11
• Reds/Pinks: JN.1.11 + FLiRT
• Browns: JN.1.11 + FLiRT-LP
• Blues: XEC
• Greens: JN.1 + FLiRT
• Greys: Other
Reading clockwise from top:
- Multiple unlabeled slivers of grey and pink.
8.6% - KP.3.1.1 / MC [purple]
- Unlabeled purple sliver & grey sliver
2.2% - LB.1.3.1 (1 var) [green]
- Unlabeled green sliver
3.4% - LF.7 (10 variants) [green]
3.9% - LP.8.1.1 (1 var) [brown]
5.9% - LP.8.1 (2 variants) [brown]
- Unlabeled brown and grey silvers
5.2% - MC.1 (5 variants) [purple]
3.4% - MC.8.1 (2 variants) [purple]
4.2% - MC.10.1 (1 var) [purple]
- Two unlabeled purple slices
8.5% - other MC (22 variants) [purple]
- Unlabeled grey slice
1.4% - NL (4 variants) [green]
- Unlabeled grey slice
5.7% - XEC.2 (5 variants) [blue]
2.0% - XEC.2 (1 var) [blue]
34% - other XEC (10 variants) [blue]
1.6% - XEK (4 variants) [red orange]
3.0% - XEQ (1 var) [grey]
- Unlabeled grey slice")
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
![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 January 5–18. 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 + FLiRT accounts for well over half; XEC 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 [blues]:
47% - XEC.2† & other XEC
3% - XEC.4
JN.1.11 [purples]:
23% - MC.10.1, MC.1, MC.19, MC.8.1† & other KP.3.1.1 / MC
1% - KP.3 & XEQ†
JN.1.11 + FLiRT-LP [browns]:
15% - LP.8.1.1 / NY† & other LP.8.1
⅛% - LP.1 & other KP.1.1.3 / LP
JN.1 + FLiRT [greens]:
4% - LF.7
2% - LB.1.3.1 / NL
1% - JN.1.18.6 / LY
⅒% - LB.1
JN.1.11 + FLiRT [reds]:
4% - XEK
⅒% - FDA-Vaccine-Target KP.2
⅑% - other KP.2.3
Other [greys]:
⅒% - 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.](https://spaces.hcommons.social/media_attachments/files/113/925/353/197/745/222/original/94093d6ec2405a9c.jpg "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 January 5–18. 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 + FLiRT accounts for well over half; XEC 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 [blues]:
47% - XEC.2† & other XEC
3% - XEC.4
JN.1.11 [purples]:
23% - MC.10.1, MC.1, MC.19, MC.8.1† & other KP.3.1.1 / MC
1% - KP.3 & XEQ†
JN.1.11 + FLiRT-LP [browns]:
15% - LP.8.1.1 / NY† & other LP.8.1
⅛% - LP.1 & other KP.1.1.3 / LP
JN.1 + FLiRT [greens]:
4% - LF.7
2% - LB.1.3.1 / NL
1% - JN.1.18.6 / LY
⅒% - LB.1
JN.1.11 + FLiRT [reds]:
4% - XEK
⅒% - FDA-Vaccine-Target KP.2
⅑% - other KP.2.3
Other [greys]:
⅒% - 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.")
(In)formation de santé publique :
1 - Dissémination des pathogènes aéroportés
-> aérosols (covid, grippe) => masque FFP2
-> contact (norovirus, gastro) => lavage de mains
2 - Conservation des pathogènes
-> dans l'air (aérosols) => purifs, ventilation, UV
-> sur les surfaces (contact) => savons
via : https://bsky.app/profile/nousaerons.bsky.social/post/3lgfgexw4gs2i
Updated GISAID data entering January has FluQE31 KP.3.1.1 / MC and children down to just over a third of all sequences.
FLiRT KS.1.1 / FLuQE KP.3.3 hybrid XEC now approaching two fifths.
JN.1 FLiRT descendant LF.7 is diversifying, while KP.1.1.3 / LP scion LP.8.1, and recombinant XEL—child of JN.1 and FLiRT KS.1.1.2—both 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 1/20/2025 6:14:21 AM [GMT?] | Source (sequences): GISAID
Packed-bubble chart showing tallies of each identified variant for each state, for collection dates 12/22/2024 to 1/4/2025. Top subvariants: XEC (30.71%), KP.3.1.1 (16.45%), LP.8.1 (8.11%), XEC.2 (4.60%), MC.10.1 (4.08%).
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) in Minnesota (83), Colorado (66), Ohio (65), New York (53), Utah (40), New Jersey (35), Nebraska (30), Pennsylvania, California, Arizona, Iowa, Illinois; KP.3.1.1 (violet) for Minnesota (52), Ohio (35), Colorado (29), California, New York, Iowa, Nebraska; LP.8.1 (yellow) for Minnesota, New York, California; XEC.2 (forest) for New York.
Dozens of bubbles of varying sizes representing a many dozens of variants across various states.
ALT-text by beadsland at ko-fi.](https://spaces.hcommons.social/media_attachments/files/113/871/405/556/703/116/original/9f948a436f03b135.png "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 1/20/2025 6:14:21 AM [GMT?] | Source (sequences): GISAID
Packed-bubble chart showing tallies of each identified variant for each state, for collection dates 12/22/2024 to 1/4/2025. Top subvariants: XEC (30.71%), KP.3.1.1 (16.45%), LP.8.1 (8.11%), XEC.2 (4.60%), MC.10.1 (4.08%).
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) in Minnesota (83), Colorado (66), Ohio (65), New York (53), Utah (40), New Jersey (35), Nebraska (30), Pennsylvania, California, Arizona, Iowa, Illinois; KP.3.1.1 (violet) for Minnesota (52), Ohio (35), Colorado (29), California, New York, Iowa, Nebraska; LP.8.1 (yellow) for Minnesota, New York, California; XEC.2 (forest) for New York.
Dozens of bubbles of varying sizes representing a many dozens of variants across various states.
ALT-text by beadsland at ko-fi.")
![Chart: Variants by Pango-Designated Lineage: U.S. Dec 22 to Jan 4
Source: GISAID (via Raj Rajnarayanan's COVID-19 Variant Dashboard, updated January 20)
[ 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:
• Purples: JN.1.11
• Reds/Pinks: JN.1.11 + FLiRT
• Browns: JN.1.11 + FLiRT-LP
• Blues: XEC
• Greens: JN.1 + FLiRT
• Greys: Other
Reading clockwise from top:
- Mult. unlabeled slivers of grey & pink.
16.4% - KP.3.1.1 / MC [purple]
3.0% - other KP.3 (9 variants) [pink]
- Unlabeled sliver of grey.
2.2% - LB.1.3.1 (1 var.) [green]
- Unlabeled sliver of green.
4.0% - LF.7 (7 variants) [green]
8.1% - LP.8.1 (1 var.) [brown]
- Unlabeled slivers of brown, green, grey.
3.5% - MC.1 (2 variants) [purple]
4.1% - MC.10.1 (1 var.) [purple]
- Unlabeled sliver of purple.
1.4% - MC.19 (1 var.) [purple]
7.5% - other MC (19 variants) [purple]
- Unlabeled slice of grey.
2.4% - NL (6 variants) [green]
- Unlabeled slice of grey.
4.6% - XEC.2 (1 var.) [blue]
- Unlabeled slice of blue.
32.2% - other XEC (5 variants) [blue]
- Unlabeled slice of pink.
2.2% - XEL (1 var.) [grey]
- Unlabeled slice of grey](https://spaces.hcommons.social/media_attachments/files/113/871/406/386/336/746/original/68c398d78fe1b42a.png "Chart: Variants by Pango-Designated Lineage: U.S. Dec 22 to Jan 4
Source: GISAID (via Raj Rajnarayanan's COVID-19 Variant Dashboard, updated January 20)
[ 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:
• Purples: JN.1.11
• Reds/Pinks: JN.1.11 + FLiRT
• Browns: JN.1.11 + FLiRT-LP
• Blues: XEC
• Greens: JN.1 + FLiRT
• Greys: Other
Reading clockwise from top:
- Mult. unlabeled slivers of grey & pink.
16.4% - KP.3.1.1 / MC [purple]
3.0% - other KP.3 (9 variants) [pink]
- Unlabeled sliver of grey.
2.2% - LB.1.3.1 (1 var.) [green]
- Unlabeled sliver of green.
4.0% - LF.7 (7 variants) [green]
8.1% - LP.8.1 (1 var.) [brown]
- Unlabeled slivers of brown, green, grey.
3.5% - MC.1 (2 variants) [purple]
4.1% - MC.10.1 (1 var.) [purple]
- Unlabeled sliver of purple.
1.4% - MC.19 (1 var.) [purple]
7.5% - other MC (19 variants) [purple]
- Unlabeled slice of grey.
2.4% - NL (6 variants) [green]
- Unlabeled slice of grey.
4.6% - XEC.2 (1 var.) [blue]
- Unlabeled slice of blue.
32.2% - other XEC (5 variants) [blue]
- Unlabeled slice of pink.
2.2% - XEL (1 var.) [grey]
- Unlabeled slice of grey")
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.
After skipping update two weeks prior, #CDC broke out XEC.4, as FLiRT KS.1.1 / FLuQE KP.3.3 hybrid XEC family—never having reached majority—being pressed by FLiRT LP.8.1.
New dashboard from Raj givs us more recent GISAID data.
❖ #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 January 5–18. 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 + FLiRT accounts for well over half; XEC for near half.
For fortnight of 12/22–1/4, 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 [blues]:
47% - XEC.2† & other XEC
3% - XEC.4
JN.1.11 [purples]:
1% - KP.3
23% - MC.10.1, MC.1, MC.19 & other KP.3.1.1 / MC
JN.1.11 + FLiRT-LP [browns]:
15% - LP.8.1
⅛% - LP.1 & other KP.1.1.3 / LP
JN.1 + FLiRT [greens]:
4% - LF.7
2% - LB.1.3.1 / NL
1% - JN.1.18.6 / LY
⅒% - LB.1
JN.1.11 + FLiRT [reds]:
4% - XEK
⅒% - FDA-Vaccine-Target KP.2
⅑% - other KP.2.3
Other [greys]:
⅒% - other WHO-Vaccine-Target JN.1
⅒% - Other (not specified)
† Dagger variant is not broken out by CDC, yet represent a significant share of recent GISAID sequences.](https://spaces.hcommons.social/media_attachments/files/113/871/149/086/456/148/original/ab960ae7a01a0789.jpg "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 January 5–18. 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 + FLiRT accounts for well over half; XEC for near half.
For fortnight of 12/22–1/4, 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 [blues]:
47% - XEC.2† & other XEC
3% - XEC.4
JN.1.11 [purples]:
1% - KP.3
23% - MC.10.1, MC.1, MC.19 & other KP.3.1.1 / MC
JN.1.11 + FLiRT-LP [browns]:
15% - LP.8.1
⅛% - LP.1 & other KP.1.1.3 / LP
JN.1 + FLiRT [greens]:
4% - LF.7
2% - LB.1.3.1 / NL
1% - JN.1.18.6 / LY
⅒% - LB.1
JN.1.11 + FLiRT [reds]:
4% - XEK
⅒% - FDA-Vaccine-Target KP.2
⅑% - other KP.2.3
Other [greys]:
⅒% - other WHO-Vaccine-Target JN.1
⅒% - Other (not specified)
† Dagger variant is not broken out by CDC, yet represent a significant share of recent GISAID sequences.")
Those fuckers..
#maga #gop #usa #news #canada #cdnpoli #uspol #trump
https://www.washingtonpost.com/health/2025/01/21/trump-hhs-cdc-fda-communication-pause/
#covidisnotover #covidisairborne #sarscov2 #pandemic #longcovid #publichealth #eugenics #H5N1 #birdflu #uspoli https://zeroes.ca/@broadwaybabyto/113870230633066841
Guess what! The Brookline Public Library has CO2 monitors that you can borrow! Very useful for checking out the ventilation in any indoor space that is ventilated (mechanically or naturally) with outdoor air. FREE!!!!!
https://brookline.minlib.net/Record/.b42432650
#Brookline #BrooklineMA #IndoorAirQuality #COVIDisAirborne #CovidConscious #CovidCompetent
Photographer Kathrin Swoboda captured amazing images of a red wing blackbird's song, visible via the bird's breath in cold air and early light #WomensArt
Much of what we breathe out remains airborne. Infectious viral particles float on the air like smoke, remaining airborne for long periods of time.
Vaccination COVID 
- A partir du 15 octobre, en même temps que la campagne pour la grippe
- 1 seul vaccin disponible pour le moment (dosages spécifiques pour les enfants), Pfizer (le Novavax est en attente d'approbation)
- toute personne peut se faire vacciner (à partir de 6 mois - en pharmacie dès 12 ans)
voir (PDF) : https://sante.gouv.fr/IMG/pdf/dgs-urgent_-_campagne_de_vaccination_contre_le_covid-19_a_l_automne_2024.pdf
#Covid
#COVIDisAirborne
#CovidIsNotOver
#RéductionDesRisques
#Vaccination
@DeRochier Ugh! 
Some say it may take a decade for people to finally accept new scientific understandings like the dangers of nicotine or HIV causing AIDS. We’re on year 5 of the pandemic now. I guess those next 5 can’t come any faster for us. #CovidIsNotOver #CovidisAirborne #COVID
So here's one for the #COVIDisAirborne crowd: is there a scientifically defensible reliable and not to expensive portable air purifier available, suitable for a shared office of say 8 people?
After seven week FLiRT wavelet and two weeks of SLip (S:F456L) cluster soup, we're now unmistakably entering second week of FLuQE wavelet…
With FLiRT KP.3.1.1 / MC already over a third of estimated share. Meanwhile, FLiRT31 KP.1.1.3 / LP holding its own against pressure from FLuQE.
CDC breaks out KP.2.15. Meanwhile, LP.1.7, not broken out by CDC, again shows up as significant share in GISAID.
❖ #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, D. Focosi, WHN, others
[ beadsland on Ko-fi ]
A reskin of CDC's Variants Nowcast, emphasizing significant variants, incl. those in GISAID yet not broken out by CDC.
Five rectangular tree-charts, side by side, for fortnights through August 4–August 17. Legend 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 JN.1. KP.3 accounts for over half of total, KP.3.1.1 alone over a third.
For week of 7/21–8/3, packed bubble charts fill many tiles, indicating diversification of those variants—per GISAID—that wouldn't otherwise be apparent given CDC's choices of what to break out or not.
Legend:
MC-FLuQE [purple]:
37% - KP.3.1.1 / MC
FLuQE [blue]:
17% - JN.1.11 + FLuQE KP.3
JN.1 + FLiRT [reds]:
14% - LB.1.7† & LB.1
1% - KS.1
⁹⁄₁₀% - LF.3.1
¾% - other JN.1.16.1 / LF
JN.1.11 + FLiRT31 [browns]:
14% - KP.2.3
⁹⁄₁₀% - KP.2.15
JN.1.11 + FLiRT [greens]:
6% - FDA-Vaccine-Target KP.2, KP.4.1 & KP.1.1
4% - LP.1
2% - other LP-FLiRT31 KP.1.1.13 / LP
Other [greys]:
1% - JN.1.18, JN.1.11.1 / KP, XDV.1, KW.1.1, nine tracked variants at <⅒% & other WHO-Vaccine-Target JN.1
0% - four tracked variants at <⅒% & other Omicron-2 BA.2
0% - other Pirola BA.2.86
⅒% - BA.1.1, other Omicron B.1.1.529 / BA & Other (not specified)](https://assets.disabled.social/media_attachments/files/112/974/354/120/991/514/original/210ccd54bb11ddef.jpg "Chart: Estimated U.S. Variant Proportions by Common Name
Sources: Centers for Disease Control, CoV-Lineages, NYITCOM, D. Focosi, WHN, others
[ beadsland on Ko-fi ]
A reskin of CDC's Variants Nowcast, emphasizing significant variants, incl. those in GISAID yet not broken out by CDC.
Five rectangular tree-charts, side by side, for fortnights through August 4–August 17. Legend 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 JN.1. KP.3 accounts for over half of total, KP.3.1.1 alone over a third.
For week of 7/21–8/3, packed bubble charts fill many tiles, indicating diversification of those variants—per GISAID—that wouldn't otherwise be apparent given CDC's choices of what to break out or not.
Legend:
MC-FLuQE [purple]:
37% - KP.3.1.1 / MC
FLuQE [blue]:
17% - JN.1.11 + FLuQE KP.3
JN.1 + FLiRT [reds]:
14% - LB.1.7† & LB.1
1% - KS.1
⁹⁄₁₀% - LF.3.1
¾% - other JN.1.16.1 / LF
JN.1.11 + FLiRT31 [browns]:
14% - KP.2.3
⁹⁄₁₀% - KP.2.15
JN.1.11 + FLiRT [greens]:
6% - FDA-Vaccine-Target KP.2, KP.4.1 & KP.1.1
4% - LP.1
2% - other LP-FLiRT31 KP.1.1.13 / LP
Other [greys]:
1% - JN.1.18, JN.1.11.1 / KP, XDV.1, KW.1.1, nine tracked variants at <⅒% & other WHO-Vaccine-Target JN.1
0% - four tracked variants at <⅒% & other Omicron-2 BA.2
0% - other Pirola BA.2.86
⅒% - BA.1.1, other Omicron B.1.1.529 / BA & Other (not specified)")
One thing I would have liked to add to this Yale graphic on asymptomatic infections is not only that "you may not know if you are actually sick," but also "you may not know who could get you sick." So many people have no idea from whom they got their SARS-CoV2 infection because it is often transmitted asymptomatically or presymptomatically. #MaskUp everyone! 2/2
#CovidIsNotOver #COVIDisAirborne #Covid #COVID19
1 in 22 people on the West Coast are infected with #COVID & infecting others if they're walking around unmasked.
If you went out today and didn’t mask up, even though you could, and you did before..
… if this was because you were afraid of what others might think or say, but you know cases have been rising and you know this risks are bad …
I’ve some bad news and some good.
The bad: none of those people who stare will support you if you get long COVID.
The good: tomorrow is a new day, and you can still wear that mask. Fuck ‘em.
