🧵1/ The #CDC update today (2/26) on "Ventilation in Schools and Child Care Programs" looks like good progress.
Details on #ventilation, #filtration, #bettermasks, w/ helpful links. Seems they're listening to @kprather88@j_g_allen@CorsIAQ and others?
https://t.co/jA9XjPc92F
Quantifying proximity, confinement and interventions
Open access at @EnvSciTech
Isolates transport component of environmental transmission as Effective Rebreathed Volume. Advocates 1um, 10um, 100um particle analysis, beyond “airborne” vs “droplet”
https://t.co/Vvbr2FoKpS
Supporting Info (37 pg) reviews source-proximate transport & deposition uncertainties, unpacks Wells-Riley into components for future collaboration. 9 authors from 8 departments @chemdelphine@pwfBldgIAQ@suevtwit@ProfJayHam. Art by @mzCHEMj
Compares outdoor vs indoor, mitigation against baselines, achievable reduction magnitudes against plausible risk curves. Particle size is important of course, so assumptions about deposition are key. Some surprises when you do the numbers.
Our workshop summary on airborne transmission of SARS-CoV-2 is out. Thanks to all the leading scientists who helped lead this amazing and impactful workshop! @theNASEM@linseymarr@kprather88@Lakdawala_Lab
https://t.co/MKfNA0QatN
This is of my favorite papers on airborne spread of respiratory aerosol indoors and here is a wonderful graphic showing how distancing away from the infected person is related to risk of infection https://t.co/YqhRL4FB2Q
@grnhse_gas_bros I hesitate to get too far into predicting what epi can do since it’s not my field, but I believe we haven’t pushed far enough on defining where transmission has NOT occurred, and I think that would be very helpful
“Quantifying proximity, confinement, and interventions in emerging disease outbreaks” or as I like to call it “Stuff you already knew, but with numbers.” Preprint at
https://t.co/rT6hTIxDiz.
@grnhse_gas_bros For some applications one definitely needs to know infection parameters. For others not so much. There should be a conversation about what we need to know, how well, and what can we know, esp given that dose-response curves are (a) uncertain, (b) shifty, (c) in log space
@KoenSwinkels@linseymarr@jljcolorado Yes thanks! That’s a good one— we just have our own because we wanted to do more complex things, offset occupancies, transients, multiple zones
@grnhse_gas_bros Hi Prasad! I have thought about it but I don’t know that. I do store the deposited particles from every simulation. Gut feel (dangerous) = if any, it’s in the 10um; rest have reasons to be negligible