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Coronavirus
Technology Solutions
Time to Standardize on CATE Masks
Face Mask Efficiency is Being Studied by
International Team
How Many Deaths Could be Prevented by Use of
CATE Masks in the U.S.
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Time to Standardize on CATE Masks
The performance differences between masks and
the potential for standardization of effective
masks was addressed in a November 18 article in
the Los Angeles Times by Markian
Hawryluk.
Here are excerpts from the article with
comments by McIlvaine in italics.
In California, new guidance that requires most
residents to wear face coverings in public
settings leaves people the option of using
T-shirts, towels or any other cloth that hides
the nose and mouth.
President-elect Joe Biden reportedly is mulling
a national face-covering mandate of some sort,
which could not only increase mask-wearing but
also better define for Americans what sort of
face covering would be most protective.
If CATE masks were the standard sufficient
quantities could be produced to provide herd
immunity within months. The details are in a
McIlvaine news release issued Friday, November
20, 2020.
“Unlike seat belts, condoms or other prevention
strategies, we have not yet
standardized on
what we are recommending for the public,”
said Dr. Monica Gandhi, an infectious disease
specialist at UC San Francisco. “And that has
been profoundly confusing for the American
public, to have all these masks on the market.”
At least 37 states and the District of Columbia
have mandated face coverings, but there’s wide
variation on what qualifies. States such as
Maryland and Rhode Island include bandannas or
neck gaiters, while South Carolina and Michigan
do not.
Cloth-mask manufacturing was nearly nonexistent
in the U.S. before the pandemic, so public
health officials opted early in the year to
stress the importance of wearing any face
covering at all rather than trying to focus on
one standard. As a result, Americans are now
wearing a hodgepodge of coverings, from
home-sewn to commercial versions, with various
levels of protection
Researchers at the National Institute for
Occupational Safety and Health have found most
commercially produced cloth masks block 40% to
60% of respiratory droplets, approaching the
effectiveness of surgical masks.
“You can’t possibly test everything, but
certainly one take-home message is that anything
is better than nothing,” said William Lindsley,
a biomedical engineer at the institute. “We
haven’t tested anything that has not worked.”
CATE masks are already tested by Nelson
Laboratories and other commercial and reliable
testing companies around the world.
All that is needed is that suppliers
submit their masks for performance tests,
particularly Particle Filtering Efficiency and
Inhalation and Exhalation Resistance. They can
bear the
cost of testing. So there is no delay to wait
for a government agency to do the testing. Those
suppliers with efficient masks have made
considerable investments in testing. So this
will not delay an accelerated mask production
program.
Gandhi believes it’s time to raise the standards
for masks, ramp up the production of disposable
surgical masks and encourage, if not order,
Americans to wear them.
It is the fit as well as media efficiency. The
standards should include the effectiveness which
includes leaks as well as penetration.
In the Alert on Friday we discussed the need for
CATE masks to achieve herd immunity. We have
slightly revised figures today. The number
required drops to 323 million each quarter by
July 2022.
The number is probably going to be greater
because even people who have been vaccinated
have at best 95% protection. So they will want
to wear masks and may even be required to do so
during
the next
two years.
Because CATE masks are tight flitting,
efficient, comfortable and attractive they will
be 93% effective where utilized. It was
determined that only 1 mask would be needed per
quarter due to reusability.
The surgical masks have high filtration
efficiency but lots of leakage. The assumption
is that the usage will be just one per day or 90
per quarter. To meet the needs of the world on
July 1 2021 with 20% of the 6 billion active
people vaccinated there would be a demand for
378 billion masks per quarter. This reduces to
just under 38 billion by July of 2022. Since
meltblowns are typically used in surgical masks
and there is a big investment and delay in
building new melt blown lines it is very
unlikely that the suppliers would or could gear
up for a market which will peak in the next year
and then shrink substantially.
The cloth masks range in efficiency. In the
example below we have selected relatively
efficient designs. Many would have a 90%
inefficiency rating. We have selected reusable
masks in the $15-30 price range.
Even with a 51% inefficiency rating it
would not be possible to achieve herd immunity
with only 20% of the people vaccinated. You
would need to mask 102% of the active
population.
Herd immunity could be achieved by July 2022 if
10% of the active people are wearing cloth masks
and 65% are protected through vaccinations.
However of the 5% who are not vaccinated,
probably half are in fear of side effects. These
people will be ones who will want CATE masks
rather than cloth masks because of the higher
protection.
Because of the huge immediate needs quick herd
immunity will only take place with some mix of
CATE, Surgical, and Cloth masks. But it is
achievable. The Biden Administration is
considering a mask mandate. Many countries
already have them. The problem is that without
specifying effectiveness some people are wearing
masks which provide almost no protection.
One way to achieve herd immunity would be to
specify CATE masks for those who are at most
risk and allow surgical and cloth masks for
others. However, for those masks with lower
effectiveness some specification must be set. It
should be some combination of maximum
penetration plus leakage. Europe has some
community mask specifications set around 80%
efficient media. However with out fit being
included the specifications are inadequate.
The requirements can be based on expected load
factors. CATE masks could be required in subways
and theaters. Lower efficiency levels could be
allowed for walking suburban streets or in
grocery stores which have HEPA filtration and
laminar air flow at checkout counters. This
means that people may carry several masks and
use the one appropriate for the setting.
The requirements can be synchronized with the
production capabilities of suppliers. If the
guidelines are set appropriately, we could have
herd immunity in six months and save many
hundreds of thousands of lives.
A team of researchers have tested everything
from T-shirts and socks to jeans and vacuum bags
to determine what type of mask material is most
effective at trapping the ultrafine particles
which may contain viruses such as SARS-CoV-2,
the virus which causes COVID-19.
McIlvaine’s comments about their findings
are shown in italics.
The researchers, from the University of
Cambridge and Northwestern
University, tested the effectiveness of
different fabrics at filtering particles between
0.02 and 0.1 micrometers – about the size of
most viruses – at high speeds, comparable to
coughing or heavy breathing. They also tested
N95 and surgical masks, which are more commonly
used in healthcare settings.
“It’s a matter of finding the right balance – we
want the materials to be effective at filtering
particles, but we also need to know they don’t
put users at risk of inhaling fibres or lint,
which can be harmful.” — Eugenia
O’Kelly
Previous studies have only looked at a small
selection of fabrics when the wearer is
breathing normally, when particles are expelled
at lower speed. Studying more fabrics and
testing them at higher speeds provides a more
robust evidence base for the effectiveness of
fabric masks.
The results, reported in the journal BMJ
Open, show that most of the fabrics
commonly used for non-clinical face masks are
effective at filtering ultrafine particles. N95
masks were highly effective, although a reusable
HEPA vacuum bag actually exceeded the N95
performance in some respects.
As for homemade masks, those made of multiple
layers of fabric were more effective, and those
which also incorporated interfacing, which is
normally used to stiffen collars, showed a
significant improvement in performance. However,
this improvement in performance also made them
more difficult to breathe through than an N95
mask.
The researchers also studied the performance of
different fabrics when damp, and after they had
gone through a normal washing and drying cycle.
They found that the fabrics worked well while
damp and worked sufficiently after one laundry
cycle, however, previous studies have shown that
repeated washing degrades the fabrics, and the
researchers caution that masks should not be
reused indefinitely.
“Fabric masks have become a new necessity for
many of us since the start of the COVID-19
pandemic,” said first author Eugenia O’Kelly
from Cambridge’s Department of Engineering. “In
the early stages of the pandemic, when N95 masks
were in extremely short supply, many sewers and
makers started making their own fabric masks,
meeting the demands that couldn’t be met by
supply chains, or to provide a more affordable
option.”
While there are numerous online resources that
help people make their own masks, there is
little scientific evidence on what the most
suitable materials are. There is ten years of
data and research on CATE masks used for air
pollution protection and for those with health
problems. Testing companies such as Nelson
Laboratories are paid millions of dollar per
year to make tests of various filter media.
“There was an initial panic around PPE and other
types of face masks, and how effective they
were,” said O’Kelly. “As an engineer, I wanted
to learn more about them, how well different
materials worked under different conditions, and
what made for the most effective fit.”
For the current study, O’Kelly and her
colleagues built an apparatus consisting of
sections of tubing, with a fabric sample in the
middle. Aerosolized particles were generated at
one end of the apparatus, and their levels were
measured before and after they passed through
the fabric sample at a speed similar to
coughing.
The researchers also tested how well each fabric
performed in terms of breathing resistance,
based on qualitative feedback from users. “A
mask which blocks particles really well but
restricts your breathing isn’t an effective
mask,” said O’Kelly. “Denim, for example, was
quite effective at blocking particles, but it’s
difficult to breathe through, so it’s probably
not a good idea to make a mask out of an old
pair of jeans. N95 masks are much easier to
breathe through than any fabric combinations
with similar levels of filtration.”
In preparation for the study, the researchers
consulted with online sewing communities to find
out what types of fabric they were using to make
masks. Due to the severe shortage of N95 masks
at the time, several of the sewers reported that
they were experimenting with inserting vacuum
bags with HEPA filters into masks.
The researchers found that single-use and
reusable vacuum bags were effective at blocking
particles, but caution that the single-use bags
should not be used in face masks, as they fall
apart when cut, and may contain component
materials which are unsafe to inhale.
“It’s a matter of finding the right balance – we
want the materials to be effective at filtering
particles, but we also need to know they don’t
put users at risk of inhaling fibers or lint,
which can be harmful,” said O’Kelly.
The researchers caution that their study has
several limitations: namely, that they did not
look at the role which fit plays in filtering
particles.
McIlvaine points out that while CATE
masks have only 8% leakage, many masks allow 50%
of the air to move around the edges of the mask.
In a related project, O’Kelly has been studying
how the fit of masks in healthcare settings can
be improved. In addition, many viruses are
carried on droplets which are larger than those
looked at in the current study. Several CATE
mask suppliers have efficient sealing techniques
and offer up to five different mask sizes to
insure good fit.
However, O’Kelly says the results may be useful
for sewers and makers when choosing which fabric
to use for making masks. “We’ve shown that in an
emergency situation where N95 masks are not
available, such as in the early days of this
pandemic, fabric masks are surprisingly
effective at filtering particles which may
contain viruses, even at high speeds.”
Further information about the research can be
found at: www.facemaskresearch.com
Reference: “Ability of fabric face mask
materials to filter ultrafine particles at
coughing velocity” by Eugenia O’Kelly, Sophia
Pirog, James Ward by P John Clarkson, 22
September 2020, BMJ
Open.
The answer is subject to so many variables that
precision is impossible. But we can create
useful estimates.
Eric Boodman of STAT provided some
insights.
Excerpts from his article are shown below
with McIlvaine comments in Italics
The death forecasts keep rising.
new numbers,
published Friday, bolster what scientists have
long been saying: That doing away with social
distancing measures could entail vast numbers of
deaths, and that widespread mask-wearing in
public could save tens of thousands of lives.
“We think the key point here is that there’s a
huge winter surge coming,” Christopher Murray, a
lead author on the paper and the director of the
University of Washington’s Institute for Health
Metrics and Evaluation, said in a press
briefing. At this point, the wave isn’t fully
preventable, but “expanding mask use is one of
the easy wins for the United States.”
Specifically, the paper projected that there
could be some half a million Covid-19-related
deaths in the U.S. by the end of February, and
that some 130,000 of those tragedies might be
forestalled with universal mask use. But experts
warn that the figures from any of the model’s
hypothetical scenarios are less useful than the
comparison between the different possibilities.
By putting those projections side by side, you
can start to see how much of an effect something
like mask-wearing might have on a population
level, if you take the authors’ estimation that
face coverings can reduce an individual’s risk
of infection by about 40%.
This is like saying taking drugs will reduce
your risk by 40%. There is as much difference in
mask types as there is between a malaria drug
and the new Pfizer vaccine.
“The exact numbers are impossible to predict,”
said Ruth Etzioni, a biostatistician at the Fred
Hutchinson Cancer Research Center and the
University of Washington, who was not involved
in the new research. “What should drive policy
here is the difference between the scenarios
with and without masks.”
The IHME team’s initial work last spring didn’t
try to model transmission rates and incubation
periods of the novel coronavirus, but rather
tried to fit the United States onto data from
outbreaks elsewhere, and showed a bell-like
curve, with cases largely rising and falling
symmetrically. Their projections also wobbled a
fair amount, and as Nicholas Reich, a University
of Massachusetts, Amherst, biostatistician whose
team compares a number of different Covid-19
models, described them to STAT, “were inaccurate
and did not reflect the consensus of the
modeling community.”
The IHME then switched to a more traditional way
of modeling infectious disease, which aims to
calculate the mathematical cascade of
transmission: the number of people susceptible
to the disease, how many of them get exposed,
how many then get infected, and how many recover
and therefore have at least temporary immunity.
Once the institute made the switch, Reich
explained, “their more recent short-term
forecasts, which have been submitted to the
COVID-19 Forecast Hub, have
performed reasonably well in accuracy for up to
one month into the future. They aren’t the best
model, but they seem to be making reasonably
accurate short-term predictions.”
This paper, however, extends beyond that
one-month mark, and the further you go into the
future, the greater the uncertainty of
projections. The team used state-by-state data
from the past on case rates and all sorts of
other variables—such as cell phone mobility
data, seasonal pneumonia fluctuations, levels of
mask use—to then project how tweaking those
variables might shift the results.
This sort of analysis is not designed to tell us
how effective wearing a mask is at reducing
disease spread. Rather, that is just one of many
bits of information that the researchers fed
into their model — and their estimate on that
front comes from a meta-analysis they did of
previous peer-reviewed studies and preprints
that looked specifically at that question.
Nor should we expect this model to give any sort
of certainty about what the future holds.
“It’s not a forecast per se, because the
outcomes are conditional on very specific model
assumptions about how effective masks are and
how much uptake there is in wearing mask”Reich
said.
Mask effectiveness is a matter of mask
choice.
Instead, as Zeynep
Tufekci put it in
The Atlantic, we should use this sort of study
for “pruning catastrophic branches of a tree of
possibilities that lies before us.”
Because all sorts of policy and behavior changes
took place at once, it’s nearly impossible to
pick apart the influence of any one strand. What
this sort of analysis can provide is a hint of
the general direction we should be headed — and
the ones we should avoid — to keep as many
people as possible safe. Given that a scenario
in which every single person wears a mask in
public all the time results in many fewer deaths
than one in which mask use continues at its
estimated current pace, one effective course of
action seems pretty clear, the authors say.
Number of hours of mask use, the viral
load, mask fit, and filter efficiency are all
important variables.
“We don’t need a model to tell us that we should
all be wearing masks, we don’t need a model to
tell us that if we continue the way we’re going,
we’re going to see tens of thousands more deaths
within the next couple of months,” said Etzioni.
“But sometimes when a person provides a model
and you see these curves and you see these
numbers, it helps appropriately freak you out.”
She added that it might also help bolster public
health policy decisions: “A model like this can
be very important for our governors who are
actually trying to do something to enforce mask
mandates. They’re not popular, so politically it
can make it tough on a governor who’s trying to
do the right thing. Models like this can provide
a kind of evidence to support that policy.”
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