Our new pre-print shows that people are excited to use N95s during COVID surges when given them for free w/helpful information on their evidence & how to use them. 1/ psyarxiv.com/f76vw
You might remember when we posted about the study back in December!
I hope you find the results useful. We tried to make the figures relatable, even if you're not reading science articles every day. Please let me know if you have questions! 2/
We gave out 2,500 #N95 masks in 5 packs to our racially & socioeconomically diverse community. Many used N95s for the 1st time. People treated us like we were giving them kidneys. So grateful!
97% used at least 1 N95 & 40% used all 5 within 1-mo!
3/
We called our #N95 giveaway study "Project #Bandura," named for the famous #psychologist who studied social learning.
Well -- people learned, socially! >80% of participants told others about N95s. Several enthusiasts shared w/dozens of ppl! 4/
Cost was the biggest barrier to sustained #N95 use!
Still, ppl planned to buy an average of >10 more N95s in the near future (2x what we gave them).
More interesting, if FREE, 88% would use N95s again. Once you pop, you can't stop! 5/
We only gave away 2,500 N95s. It was labor intensive b/c we included educational materials, had a follow-up survey, went through IRB, etc.
However, it validates @amandalhu's 17,000 mask giveaway, those of cities and fed govt's.
As a #psychologist, there is 1 big truth I believe w/my heart. If you talk to most ppl in a way that's reasonable, about 97% will feel empowered to take actions to improve their lives & communities.
As true for COVID as anything else. We just need more courageous leadership. 7/
With N95s extremely popular during #COVID surges, what's the national strategy?
The U.S. had a stockpile and started giving them out for free (after my psychology research team 🤣). There are no known plans to buy and distribute more.
🔹3 million new weekly infections in a persistent "lull" of substantial transmission
🔹1 in 107 (0.9%) of the population actively infectious
🔹1 in 3 regions in high/very high transmission (16 states and DC)
PMC Dashboard, Mar 24, 2025 (U.S.)
🧵2/5
We have had a steady state of about a half million infections the past several weeks. That's over 50 million estimated infections so far in 2025.
In a room of 40-50 people, there's a 1-in-3 chance of exposure if no testing/isolation.
PMC Dashboard, Mar 24, 2025 (U.S.)
🧵3/5
There's a good chance of steady transmission the next month. Often, we'd head into a low lull about now. BUT there are no universal precautions, immunity is waning from the fall & winter 2023-24, & viral evolution looks less 'lucky.'
It was before the pandemic declaration, before the federal government recommended masking.
COVlD spread quickly through New Orleans, leading to one of the highest mortality rates per capita in the U.S....
2) New Orleans service workers were disproportionately hit by the early pandemic. Many died. Many developed #LongCOVID at the time or have now through repeat infections. Many have switched to other sectors....
3) The sad fact is that many service workers are continuing to get #LongCOVID through repeat infections today because the pandemic is ongoing and many restaurants have high occupant density and horrendous air quality....
🔥1 in 72 actively infectious
🔥Sustained high transmission
🔥30 states in high/very high transmission (CDC)
🔥3x the transmission of Feb 2021
🔥668,000 daily infections
🔥Only 1 in 28 cases reported
2) PMC COVlD Dashboard, Feb 17, 2025 (U.S.)
This is a mid-sized wave, meaning substantial transmission. Notice that transmission remains steady at high rates.
Expect steady or slightly declining transmission, unless the real-time data are retroactively corrected.
3) PMC COVlD Dashboard, Feb 17, 2025 (U.S.)
Notice that 30 states remain in high/very high transmission, per CDC categories.
This is the same as last week. Transmission is 3x higher than in Feb 2021, when people were taking more precautions around masking and testing.
1) PMC COVID Dashboard for the Week of Jan 27, 2025 (U.S.)
🔹1 in 108 actively infectious
🔹3.1 million weekly infections
🔹>150,000 weekly resulting Long Covid conditions
2) We predicted the wave peak would be 0.8 to 1.3 million across various forecasts. We presently have it at 0.9-1.0 million, though retroactive corrections can change that. The WHN also runs an excellent model, with a peak estimated at 1.3 million. whn.global/estimation-of-…
3) Approx 1 million daily infections is quite serious. This is a far cry from the various #nothingburger predictions, and the Monday morning quarterbacks who in hindsight minimize U.S. infections, Long Covid, & disability.
Perhaps they have social media revenue COIs. I don't.