Top 10 tips everyone should know about wearing #N95 & #elastomeric masks.
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THREAD!
Tip #1: Masks buy time. Context matters too: Ventilation (HVAC/outdoor air), filtration (HEPA), & ⬇️ people buy more time.
The longer you’ll be someplace or the worse the context, the better the mask you’ll need.
In a “typical” setting, you might expect this (per @akm5376):
Tip #2: If you’re going to be someplace a long time (home, office, hospital, wedding), open windows, add #HEPA, turn HVAC from ‘auto’ to ‘on' & do testing.
BOOM, you just improved your mask. Better context = less work for the mask.
Tip #3: These are my three fav N95s. The Aegle & 3M Aura are good for most adult size faces. The Vflex is good for larger faces. I think 80-90% would be happy with the Aura.
Buy a nebulizer & sweet (called FT-31) or bitter (FT-32) fit testing solution. The nebulizer vaporizes the solution. If you can taste it, your mask has gaps.
Tip #8: Always buy directly from the manufacturer, a nonprofit like @projectn95, or a verified sourced. For example, Amazon sells a ton of fakes, but GVS is verified to sell authentically via Amazon. Do your homework.
FYI, I have no COIs, including no investment in any company listed. I’m a multidisciplinary scientist. My goal is to pass along advice from experts in a way that’s more relatable to communities.
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Second, a lot of people can sustain a strong denial of reality about the ongoing pandemic during lulls. They suppress the existence of COVlD waves and excess deaths, disability, and retirements.
During waves, those defenses burst. Loss of control = anger...
Third, a lot of people (many reading this) understand COVlD correctly & experience righteous indignation during COVlD waves. We quite reasonably do not like all of the unjust and gratuitous suffering.
I find it helpful to channel that intensity into helping other people....
🚩🚩🚩
As a vigorous defender of #CDC data, their switch from using normalized to non-normalized COVlD wastewater surveillance data today harms data quality.
"Normalizing" means accounting for basic confounders like rain levels. It is a choice to use worse data.
1/5🧵
Historically, the CDC data have correlated near-perfectly with similar metrics, such as Biobot's wastewater estimates (still active) or the IHME true case estimates (through mid-2023).
The changes reduce those correlations. It's like going from an A+ to a B.
2/5🧵
You can readily see the loss of data quality in the PMC "whole pandemic" graph (preview shown, subject to change) with choppier waves, caused by the CDC adding extra noise to the data and applying retroactively from BA.1 Omicron to present.
U.S. CDC numbers just released. Good news (for those not in Louisiana). "Only" a 5% national increase.
2025 has closely tracked with summer 2023 transmission. A 12-13% increase would have been expected based on those numbers. That said...
real-time data have been prone to retroactive corrections. This is frustrating, of course, because it leaves people making decisions based on data that are only of good quality when 2 weeks old.
If we saw a 12% increase this week, I'd say look at 2023 for a glimpse...
at the future. Instead, I would consider these plausible scenarios:
🔹Wave still similar to 2023
🔹Later wave with schools more implicated
🔹Something temporarily much better