Questions about #covid that many people have and may not understand... And they matter and I've asked them too.
#Surgical vs #n95 #masks and #one way masking , with links to the studies and info in it, feel free to read of you are interested:
https://airsupportproject.com/does-one-way-masking-work-covid-19-series/
And info on the fight to improve infection control standards in #healthcsresettings with #HICPAC and #CDC and #Hospitals etc
AIR SUPPORT PROJECT · Does One-Way Masking Work? (COVID-19 Series, Part 4 of 7) - AIR SUPPORT PROJECTIn Part 4 of our series, we will take a closer look at optimizing masking as a form of air filtration. Whether it is to filter allergens, wildfire smoke, or airborne pathogens like COVID-19, we will look into how masking makes a difference in the air we inhale.
![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.](https://spaces.hcommons.social/media_attachments/files/114/410/379/035/209/452/original/9439ad7e47d8ab14.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 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.")
