Bazant: An alternate covid calculator

post by Elizabeth (pktechgirl) · 2022-02-15T19:50:08.144Z · LW · GW · 3 comments

Most of what I see people use Microcovid.org for now is estimating risk for large gatherings, which it was not designed for and thus doesn’t handle very well. I spent a few hours going through every covid calculator I could find and this calculator from the Bazant lab at MIT, while less user-friendly than Microcovid and having some flaws of its own, is tailored made for calculating risks for groups indoors, and I think it is worth a shot. 

[Note: I’ll be discussing the advanced version of the calculator here; I found the basic version too limited]

The Bazant calculator comes out of physics lab with a very detailed model of how covid particles hang and decay in the air, and how this is affected by ventilation and filtration. I haven’t checked their model, but I never checked Microcovid’s model either. The Bazant calculator lets you very finely adjust the parameters of a room: dimensions, mechanical ventilation, air filtration, etc. It combines those with more familiar parameters like vaccination and mask usage and feeds them into the model in this paper to produce an estimate of how long N people can be in a room before they accumulate a per-person level of risk between 0 and 1 (1 = person is definitely getting covid = 1,000,000 microcovids per person; .1 = 10% chance someone gets sick = 100,000 microcovids per person). It also produces an estimate of how much CO2 should accumulate over that time, letting you use a CO2 monitor to check its work and notice if risk is accumulating more rapidly than expected.

Reasons/scenarios to use the Bazant calculator over Microcovid:

Reasons to use Microcovid instead:

Scenarios neither handle well

I’m not currently planning any big events, but if someone else is, please give this a try and let us know if it is useful. 

3 comments

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comment by lalaithion · 2022-02-15T20:52:22.745Z · LW(p) · GW(p)

I'm a little confused about how to set the "Percentage Immune" slider. Is that "Percentage of people who are vaccinated"? If so, it's merely worded poorly. I'm worried, however, that what it really means is "Percentage of people are 100% immune", which would be near useless; vaccinations don't provide 100% immunity. Should I set this value to "percentage of people who are vaccinated × effectiveness of vaccines"?

Replies from: pktechgirl
comment by Elizabeth (pktechgirl) · 2022-02-16T03:57:07.584Z · LW(p) · GW(p)

I've been using it as "average immunity for the entire group"

Replies from: GWS
comment by Stephen Bennett (GWS) · 2022-02-16T05:48:29.375Z · LW(p) · GW(p)

I'm not sure how this answers their question (even in terms of your own usage). Is it their last guess of "percentage of people who are vaccinated × effectiveness of vaccines"?