"... face masks sign. reduce the risk of SARS-CoV-2 infection compared to social distancing. We find a very low risk of inf. when everyone wears a face mask, even if it doesn’t fit perfectly on the face." 1/🧵
2/ The authors perform "upper bound" analyses to get around complexities in modeling risk.
"We conclude that wearing appropriate masks in the community provides excellent protection for others and oneself, and makes social distancing less important." pnas.org/content/118/49…
3/ I especially like this overview schematic comparing FFP2 (~N95) to surgical mask usage based on combos between two people.
Consistent with the old refrain "any mask is better than no mask, but masks with better fit & filtration protect much more."
4/ With no masks & only distancing (3 m), 90% risk of infection.
"When both wear a surgical mask, while the infectious is speaking, the very conservative upper bound remains below 30% after 1 h, but, when both wear a well-fitting FFP2 mask, it is 0.4%." pnas.org/content/118/49…
5/ They also looked at the effect of fit on TIL (total inward leakage).
"By simply adjusting the mask nosepiece to the nose, case (ii), the mask's TIL is improved by a factor of 4.3 for the smallest particles and by a factor of 7.5 for 3 micron particles" pnas.org/content/118/49…
6/ "The surgical mask, however, is associated with the highest total inward leakage, with the maximum value being in excess of 70% occurring for the smallest particle size."
"Wearing an additional surgical mask on top of the adjusted FFP2 masks, case (iii)" didn't add much here.
7/ They mention that surgical masks have great filtration quality & increased infection risk compared to FFP2 (N95) masks is due to leakage.
Good news: Note also in C here that risk can be lowered substantially even if only susceptible person is wearing a mask (lowest if FFP2).
8/ Ultimately, they calculate estimated infection risk as a function of exposure time under several combos of surgical or FFP2 masks, both during breathing and speaking (worse).
I would argue that the exact y-scale values are less important than the trends with time & mask type.
9/ The study is really nice, and they do a good job of calculating through "upper bounds" of assumed and calculated risk factors to limit issues with complex uncertainties.
The results are also qualitatively consistent with previous estimates.
10/ As their study suggests, surgical masks reduce aerosol inhalation risk, and FFP2/N95 (& elastomeric respirators) do dramatically better job still - based primarily on the differences in FIT.
14/ #Elastomeric respirators can also be an excellent way to get N95+/FFP2+ level filtration in a reusable form that seals well (gel or rubber) & that can be more comfortable than others.
Well-maintained HVAC filters or portable air cleaners can “also clean the air of pollen particles, mold spores & pollution from car exhaust and industrial operations. And in areas where wildfires are common, filters reduce the concentration of smoke particles inside buildings.”
[In schools that increase ventilation rate] “For kids and school staff, particularly those with asthma, allergies and sensitivities, this can mean fewer missed days of school, less medication, and fewer asthma attacks and subsequent trips to the hospital.” onlinelibrary.wiley.com/doi/10.1111/in…
A family emergency means I’m flying today for the first time since 2019. Fortunately I’ve got my N95 to reduce my inhaled dose as much as possible + my CO2 meter to gauge air.
Short 🧵 to occupy me while on a layover.
The CO2 was nicely & low in the Shreveport, LA airport (1/x)
2/ On this tiny United commuter flight, 45 minute flight time from Shreveport to Houston, no one with N95 masks. Maybe 2 w/ surgical masks.
Boarding & taxi process, the #AirplaneCO2 briefly peaked at 1600 ppm, but mostly in 1100 range. Obviously higher than ideal, but not bad.
3/ Cruising (if you call it that for just a few minutes) was still in the 1000 - 1200 ppm range. At that upper level, roughly 2% of the air is likely rebreathed from others on board. But the ventilation is also filtering resp. particles from background air relatively frequently.
Excellent OpEd by @linseymarr & @jljcolorado on the early and persistent confusion around the word "airborne" wrt the pandemic. It's a short overview on the effects of these miscomms across medical & disciplinary boundaries.
Some salient quotes, links (1/) time.com/6162065/covid-…
2/ “This fundamental misunderstanding of the virus disastrously shaped the response during the first few months of the pandemic & continues to this day. We still see it now in the surface cleaning protocols that many have kept in place even while walking around without masks. …”
3/ “… There is a key explanation for this early error. In hospitals, the word “airborne” is associated w/ a rigid set of protective methods, incl. the use of N95 respirators by workers and negative pressure rooms for patients. These are resource-intensive and legally required.”
Clarifies N95s aren't in short supply & can be worn again!
It's still not perfect, but it feels like we're at least inching in the right direction. Some thoughts via a🧵.
2/ New statement that most respirators (i.e. #N95s) "are disposable and should be discarded WHEN they are dirty, damaged, or difficult to breathe through."
That's *much* better guidance than to toss after a single use!
3/ Also clearly states that:
"Loosely woven cloth products provide the least protection ... and well-fitting NIOSH-approved respirators (including #N95s) offer the highest level of protection."
Improves a procedure to expose surrogate proteins to urban air (especially NO2, O3) to quantify changes in protein nitration ➡️ allergies, etc.
1/🧵
2/ @DaveyRachel1 did a great job of quantifying & improving each step of the #bioanalytical procedure; ozone loss across PM filters, extraction & detection efficiencies, even good old analytical #FiguresOfMerit sensitivity & limit of detection. rdcu.be/cEJN7
3/ Possibly the most broadly useful piece is the data showing ozone loss across several filter types. The HEPA capsule scrubbed >60% of the ozone (bad if you're trying to quantify ozone). Kynar removed only 3%.
Important if using filter to remove PM, while quantifying O3 behind.