There's a lot of dichotomous thinking about #COVID risk on #airplanes.

Some believe it's completely safe, others completable dangerous.

I minimize flight travel and wouldn't fly without a fit-tested high-quality mask (N95 or elastomeric respirator). Here's why. 🧵

1/16 "COVID-19, Unsafe As We Breathe: The designed-in dangers of the American Airplane, By Dr. Hoerger"  A play on words of the book, "Unsafe at any speed: The designed-in dangers of the American automobile" (1965) by Ralph Nader
Field research from @sri_srikrishna found that across 3 models of aircrafts, they had an air cleaning rate of 10.9-11.8 air changes per hour (ACH).

A U.S. operating room should have 15 ACH, so flights are pretty good, right?

Wrong. I'll explain why.
2/16 Figures showing an average of 11.7 ACH on three flights, from Devabhaktuni Srikrishna's pre-print, "What ACH is equivalent to a passenger airplane inflight for protection from SARS-Cov-2 and other aerosol contaminants?"
10-12 air changes per hour (ACH) on a flight sounds good, even overkill, right?

Actually, no.

If the air has good mixing, the best case scenario is that each air change is still imperfectly efficient, cleaning out about 2/3 of the air each air change.

Uh oh.
3/16
The imperfect efficiency means that the air cleaning must exceed the rate at which the air is being contaminated with airborne infectious virus laden aerosol particles.

The air cleaners must work faster than the people breathing into the air, or virus can accumulate.
4/16
This is a question of the density of the people in the room. If the room has hardly anyone in it, a low air cleaning rate can prevent virus from accumulating in the air. If the room has many people in it, a high air cleaning rate is needed to prevent viral accumulation.
5/16
Accordingly, the 2023 ASHRAE standards indicate per-person air cleaning rates, rather than the number of times a room's air should be cleaned per hour.

This is where the risk of airplanes is revealed.

6/16 Cover: ASHRAE Standard 241-2023, "Control of Infectious Aerosols"
ASHRAE only deals with "buildings," not planes (confirmed by phone). As consumers, we can draw approximate inferences by examining their standards for similar "rooms."

A lecture hall/auditorium should clean the air at a rate of 50 cubic ft per minute (cfm) per person.

7/16 ASHRAE Standard 241: Minimum ACH for lecture halls or auditoriums = 50 cfm/person
If we consider the typical density of people in such settings, 50 cfm/person in a lecture hall is equivalent to about 50 ACH (it's a coincidence both are "50").

8/16

If 50 ACH is the minimum standard for air cleaning in a lecture hall & airplanes are similar to lecture halls in terms of seating and density, then airplanes may be cleaning the air at <25% of the standard we would expect.

That means virus accumulating in the air.
9/16
Alternatively, if we assume 11.7 ACH on a plane, that the cabin volume is 6,978 cubic ft, and there are 100 people on the plane, then it would clean at 1,361 total cfm.

It should clean at 5,000 cfm.

That's about 25% of the minimum expected rate. Virus accumulation.
10/16 Calculations:  Cabin volume Airbus A319 5,900 cubic ft https://jetadvisors.com/airbus-319/#:~:text=The%20cabin%20is%2078%20feet,volume%20of%205%2C900%20cubic%20feet.  6978 cubic ft https://altivationaircraft.com/airbus-a319-corporate/ https://mybusinessjet.com/buyers-guide/airbus-a319/   ACH 11.7 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4246823  CFM 11.7ACH * 6,978 cubic ft = 81,643 cubic ft/hr 81,643 cubic ft/hr / 60 mins/hr = 1,361cfm  Seats At least 100 (site says 124-130)   Target = 50cfm/person 50cfm/person * 100 people = 5,000 cfm  1,361/5000 = 27% of expected air cleaning ...
We are all often in rooms with poor air cleaning rates. However, the risk increases as fewer people are masked, duration increases, and the number of infectious people increases.

Masking is low, flights can be long, and we're entering a U.S. surge.

11/16
Moreover, the ASHRAE standards focus on far field transmission (preventing viral accumulation in the "room") not on those in near proximity.

Good air cleaning can somewhat reduce risk from those nearby, not completely, but poorer air cleaning increases that risk too.

12/16
So, (A) avoid flight travel, or (B) wear a fit-tested high-quality mask throughout.

13/16
These are my recommendations for high-quality N95 masks that fit most people. I have worn an elastomeric (reusable) mask called a @flo_mask on flights (profile picture). No COIs.



14/16
Fit-testing can help you select the best N95 for YOUR face and ensure that you're adjusting your mask to prevent gaps and get the best fit possible.

On a long flight, a mask gap could mean the difference between getting COVID or not.


15/16
Thank you. Please ask any questions or share personal examples. If you found the thread helpful, please share the first Tweet.

Please also share across other platforms. 🙏
16/16

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More from @michael_hoerger

Dec 11
PMC COVID-19 Tracker, Dec 11, 2023
The surge continues.

Today:
🔹1.2 million daily infections
🔹1 in 41 infectious (2.5%)

In 4 weeks (Jan 8):
🔹1.6 million daily infections
🔹1 in 30 infectious (3.3%)

1/

A few key methodologic updates.
1) Biobot correct levels downward for the past two weeks, so you might notice that this week's estimates seem similar to last week's or marginally lower.

2) Our forecasting model uses a combination of historic data (situation past several years) and current data (past 4 weeks). In the historic model, we switched from using mean-type data to median-type data. This avoids overestimating levels based on the BA.1 surge and allows us to predict accurately a little faster, rather than predicting high and waiting for the current 4-week's data to correct it.

3) The forecasts depend a lot on the most recent week's data. To the extent Biobot is accurate or inaccurate in real-time, this leads to divergent forecasts.CURRENT ESTIMATES FOR December 11, 2023 Wastewater Levels (copies/mL) 807 New Daily Cases 1,174,000 % of Population Infectious 2.46% (1 in 41 people) New Daily Long COVID Cases  59,000 to 235,000   4-WEEK FORECAST FOR January 8, 2024 Wastewater Levels (copies/mL) 1,083 (34% higher) New Daily Cases 1,576,000 % of Population Infectious 3.3% (1 in 30 people) New Daily Long COVID Cases  79,000 to 315,000
You'll see the forecasts differ considerably (1.3 to 1.9 million daily infections) in 4 weeks.

2/

However, they mostly agree on the peak. It could be as early as Jan 1 or as late as Jan 15. It's a moot point. Transmission will be similar across that timespan and the weekly reports lack the precision to say whether it will peak on the 4th or 9th, for example. Early Jan will remain bad.

Details:

The real-time model (purple) anticipates the highest surge levels. This assumes that Biobot real-time reports are accurate, but they were substantially corrected for the past two weeks, and there were some issues with real-time accuracy during the summer wave. The turtle model (green) discount’s the most recent week’s data as an aberration, assumes transmission should be corrected upward a little, and predicts a steady rise with peak around January 1. The cheetah model (yellow) says that because last week’s data were corrected downward, this week’s estimate should be too, so it’s much more conservative on the next several weeks. The average of all models (red) guides forecasted numbers for the next four weeks. A month from now, we will see about 1.6 million new U.S. cases per day (range of 1.3 to 1.9 million across forecasting models), with 3.3% of the U.S. population or 1 in 30 people actively infectious.Zoomed in version of prior tweet
Zooming out, you'll see that we're in a very bad place historically. With the divergent forecasts, it's merely a matter of whether this is the 2nd biggest U.S. COVID surge or 4th biggest.

The #LongCOVID cases resulting from these infections may top 400,000/week.

3/ There is more COVID-19 transmission today        than during 87.2% of the pandemic.  CURRENT ESTIMATES FOR December 11, 2023 Wastewater Levels (copies/mL) 807 New Daily Cases 1,174,000 % of Population Infectious 2.46% (1 in 41 people) New Daily Long COVID Cases 59,000 to 235,000  WEEKLY ESTIMATES FOR December 11, 2023 New Weekly Cases 8,200,000 New Weekly Long COVID Cases 411,000 to 1,644,000  2023 CUMULATIVE ESTIMATES AS OF December 11, 2023 Total 2023 Cases To Date 221,642,490 Total 2023 Long COVID Cases To Date 11,082,000 to 44,328,000
Read 8 tweets
Dec 4
PMC COVID-19 Tracker, Dec 4, 2023
The U.S. surge is worsening faster than anticipated.

Today:
🔹1.2 million daily infections
🔹1 in 38 infectious (2.6%)

In 4 weeks (New Year's Day):
🔹1.8 million daily infections
🔹1 in 26 infectious (3.9%)

1/
CURRENT ESTIMATES FOR December 4, 2023 Wastewater Levels (copies/mL) 865 New Daily Cases 1,258,000 % of Population Infectious 2.63% (1 in 38 people) New Daily Long COVID Cases  63,000 to 252,000   4-WEEK FORECAST FOR January 1, 2024 Wastewater Levels (copies/mL) 1,284 (49% higher) New Daily Cases 1,869,000 % of Population Infectious 3.91% (1 in 26 people) New Daily Long COVID Cases  93,000 to 374,000
You'll note the diverging forecasts. Biobot #wastewater levels increased more than anticipated this week, and they updated last week's numbers upward too.

The cheetah forecast (yellow) assumes this week's levels will also get revised upward like last week's. The turtle model (green) ignores this week's data as an aberration. The real-time forecast (purple), which assumes all real-time estimates are accurate, is barely visible behind the red line. The red line is the composite average of all 3 forecasts.

You'll notice the blue line (wastewater levels) and red line (forecast) overlap marginally. Biobot reports levels for Nov 29, and we carry them forward in the forecasting model through Dec 4 (today). Transmission is accelerating so much, usually this 5 day lag isn't even visible graphically.

2/
Zooming in on the forecast. See prior tweet for more detail.
This table shows how additional social contacts increase risk today (Dec 4).

🔥10 people (daycare, team meeting) = about a 1 in 4 chance someone has infectious COVID

🔥🔥30 people (large K-12 class) = over a 50% chance someone has infectious COVID

3/ Number of People  |  Chances Anyone is Infectious	 1	2.6% 2	5.2% 3	7.7% 4	10.1% 5	12.5% 6	14.8% 7	17.0% 8	19.2% 9	21.3% 10	23.4% 15	33.0% 20	41.3% 25	48.7% 30	55.1% 35	60.7% 40	65.6% 50	73.6% 75	86.5% 100	93.1% 150	98.2% 200	99.5% 300	>99.9% 400	>99.9% 500	>99.9%
Read 7 tweets
Nov 27
PMC COVID-19 Tracker, Nov 27, 2023
❄️ The winter surge is coming! ❄️

Today:
🔹886,000 daily cases
🔹1 in 54 infectious (1.9%)

In 4 weeks (Christmas Day):
🔹1.5 million daily cases
🔹1 in 32 infectious (3.1%)

1/
CURRENT ESTIMATES FOR  November 27, 2023  Wastewater Levels (copies/mL)  609  New Daily Cases  886,000  % of Population Infectious  1.85% (1 in 54 people)  New Daily Long COVID Cases   44,000 to 177,000     4-WEEK FORECAST FOR  December 25, 2023  Wastewater Levels (copies/mL)  1,031 (69% higher)  New Daily Cases  1,500,000  % of Population Infectious  3.14% (1 in 32 people)  New Daily Long COVID Cases   75,000 to 300,000
For Nov 27, what is the COVID risk in the office, a classroom, or at a social gathering?

Bad.

10 people (daycare, team meeting) = 17% chance someone is infectious

30 people (classroom) = 43% chance

50 people (lecture, restaurant) = 61% chance

2/ Number of People  |  Chances Anyone is Infectious	 1	1.9% 2	3.7% 3	5.5% 4	7.2% 5	8.9% 6	10.6% 7	12.3% 8	13.9% 9	15.5% 10	17.1% 15	24.5% 20	31.2% 25	37.4% 30	43.0% 35	48.1% 40	52.7% 50	60.8% 75	75.4% 100	84.6% 150	94.0% 200	97.6% 300	99.6% 400	>99.9% 500	>99.9%
For Dec 25, what's the risk of COVID?

8-10 people (small gathering) = 25% chance someone is infectious

20 people (visiting two families) = 47% chance

100 people (flight, restaurant, etc.) = 96% chance

Limit gatherings, #MaskUp, #VaxUp, Test/Isolate, #CleanTheAir

3/ Number of People  |  Chances Anyone is Infectious	 1	3.1% 2	6.2% 3	9.1% 4	12.0% 5	14.7% 6	17.4% 7	20.0% 8	22.5% 9	24.9% 10	27.3% 15	38.0% 20	47.1% 25	54.9% 30	61.6% 35	67.2% 40	72.1% 50	79.7% 75	90.8% 100	95.9% 150	99.2% 200	99.8% 300	>99.9% 400	>99.9% 500	>99.9%
Read 5 tweets
Nov 20
PMC COVID-19 Tracker, Nov 20, 2023

We're headed into a winter surge!

Today:
🔹762,000 daily cases
🔹1 in 63 infectious (1.6%)

In 4 weeks:
🔹1,265,000 daily cases
🔹1 in 38 infectious (2.7%)

1/
CURRENT ESTIMATES FOR  November 20, 2023  Wastewater Levels (copies/mL)  523  New Daily Cases  762,000  % of Population Infectious  1.59% (1 in 63 people)  New Daily Long COVID Cases   38,000 to 152,000     4-WEEK FORECAST FOR  December 18, 2023  Wastewater Levels (copies/mL)  869 (66% higher)  New Daily Cases  1,265,000  % of Population Infectious  2.65% (1 in 38 people)  New Daily Long COVID Cases   63,000 to 253,000
Zooming out to the full pandemic, we're clearly in the 8th U.S. COVID wave, which I would characterize as a #surge.
🌊🌊🌊🌊🌊🌊🌊🌊

There's already more virus circulating today than during 60% of the days of the pandemic.
2/ There is more COVID-19 transmission today        than during 60.7% of the pandemic.  CURRENT ESTIMATES FOR November 20, 2023 Wastewater Levels (copies/mL) 523 New Daily Cases 762,000 % of Population Infectious 1.59% (1 in 63 people) New Daily Long COVID Cases 38,000 to 152,000  WEEKLY ESTIMATES FOR November 20, 2023 New Weekly Cases 5,300,000 New Weekly Long COVID Cases 267,000 to 1,067,000  2023 CUMULATIVE ESTIMATES AS OF November 20, 2023 Total 2023 Cases To Date 199,496,320 Total 2023 Long COVID Cases To Date 9,975,000 to 39,899,000
BNO & popular news outlets focus on *reported* cases. Actual cases derived from the true levels of virus in wastewater indicate 25x more infections.

By undercounting, they are grossly underestimating the number of resulting #LongCOVID cases.


3/
WEEKLY ESTIMATES FOR November 20, 2023 New Weekly Cases 5,300,000 New Weekly Long COVID Cases 267,000 to 1,067,000
Read 9 tweets
Nov 13
PMC C0VID-19 Tracker, Nov 13, 2023

We're entering the 8th pandemic wave, likely surging to >2% infectious (>1 million cases/day) in a month.

Today's numbers:
🔹 1.41% (1 in 71) are infectious
🔹 >670,000 C0VID cases/day
🔹>34,000 #LongCovid cases/day

1/
CURRENT ESTIMATES FOR  November 13, 2023  Wastewater Levels (copies/mL)  462  New Daily Cases  672,000  % of Population Infectious  1.41% (1 in 71 people)  New Daily Long COVID Cases   34,000 to 134,000    4-WEEK FORECAST FOR  December 11, 2023  Wastewater Levels (copies/mL)  739 (60% higher)  New Daily Cases  1,076,000  % of Population Infectious  2.25% (1 in 44 people)  New Daily Long COVID Cases   54,000 to 215,000
Note that the different forecasting models show high convergence.

December 11 by the Numbers:
🔹 2.25% (1 in 44) likely to be infectious
🔹 >1 million anticipated C0VID cases/day
🔹>50,000 resulting #LongCovid cases/day

2/ 4-WEEK FORECAST FOR  December 11, 2023  Wastewater Levels (copies/mL)  739 (60% higher)  New Daily Cases  1,076,000  % of Population Infectious  2.25% (1 in 44 people)  New Daily Long COVID Cases   54,000 to 215,000
Zooming out to the full #pandemic, there is no debate we're in an 8th U.S. C0VID wave, likely entering a "surge" in my view. That's not a word I take lightly.

There's more transmission than during 54% of pandemic days.
#MaskUp #VaxUp 😷💉

3/ There is more COVID-19 transmission today        than during 54.1% of the pandemic.  CURRENT ESTIMATES FOR November 13, 2023 Wastewater Levels (copies/mL) 462 New Daily Cases 672,000 % of Population Infectious 1.41% (1 in 71 people) New Daily Long COVID Cases 34,000 to 134,000  WEEKLY ESTIMATES FOR November 13, 2023 New Weekly Cases 4,700,000 New Weekly Long COVID Cases 235,000 to 941,000  2023 CUMULATIVE ESTIMATES AS OF November 13, 2023 Total 2023 Cases To Date 194,286,130 Total 2023 Long COVID Cases To Date 9,714,000 to 38,857,000
Read 8 tweets
Oct 30
PMC C0VID-19 Tracker, Oct 30, 2023

We're at the onset of an 8th U.S. pandemic wave.

Today's Numbers:
🔹 1.27% (1 in 78) are infectious
🔹 >600,000 C0VID cases/day
🔹>30,000 #LongCovid cases/day

We will pass the late-summer wave's peak in just over a month.

1/
CURRENT ESTIMATES FOR October 30, 2023 Wastewater Levels (copies/mL) 418 New Daily Cases 609,000 % of Population Infectious 1.27% (1 in 78 people) New Daily Long COVID Cases  30,000 to 122,000   4-WEEK FORECAST FOR November 27, 2023 Wastewater Levels (copies/mL) 579 (38% higher) New Daily Cases 842,000 % of Population Infectious 1.76% (1 in 57 people) New Daily Long COVID Cases  42,000 to 168,000
The different forecasting models reach a strikingly similar conclusion about where we'll be in a month: very bad.

November 27 by the Numbers:
🔹 1.76% (1 in 57) are infectious
🔹 >800,000 C0VID cases/day
🔹>40,000 #LongCovid cases/day

2/

Forecasting nuance:

Alt Model #1 (turtle) thinks the current real-time numbers are an underestimate, and it ignores the most recent week's data. Alt Model #2 (cheetah) accounts for recent errors in the real-time numbers; with low error, it maps on very closely to the real-time (red) line. The black line shows the composite used for reporting estimates. Note, everything converges in 4 weeks.
4-WEEK FORECAST FOR November 27, 2023 Wastewater Levels (copies/mL) 579 (38% higher) New Daily Cases 842,000 % of Population Infectious 1.76% (1 in 57 people) New Daily Long COVID Cases  42,000 to 168,000
Zooming out to the full pandemic, you can see that we are entering the 8th wave.

Today, there is more transmission than during 50.6% of pandemic days. It's a coin toss as to whether any particular day of the pandemic has had more or less transmission than today. 😷💉
3/ There is more COVID-19 transmission today        than during 50.6% of the pandemic.  CURRENT ESTIMATES FOR October 30, 2023 Wastewater Levels (copies/mL) 418 New Daily Cases 609,000 % of Population Infectious 1.27% (1 in 78 people) New Daily Long COVID Cases  30,000 to 122,000   WEEKLY ESTIMATES FOR October 30, 2023 New Weekly Cases 4,300,000 New Weekly Long COVID Cases  213,000 to 853,000   2023 CUMULATIVE ESTIMATES AS OF October 30, 2023 Total 2023 Cases To Date 185,317,950 Total 2023 Long COVID Cases To Date  9,266,000 to 37,064,000
Read 7 tweets

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