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Explained: What’s Double Masking And How Does It Prevent Covid-19 Infection?

Research shows that when a cloth mask is placed over a surgical mask, the fitted filtration efficiency improves by about 20 per cent, further preventing the chances of the wearer contracting Covid-19

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Explained: What’s Double Masking And How Does It Prevent Covid-19 Infection?
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Scientists and medical health practitioners have been highlighting the need to wear masks to contain the spread of coronavirus ever since the pandemic began.

While there have been many cases of people taking this advice for granted and not wearing masks properly (by wearing it below their nose and so on), latest research has established that wearing two tightly-fitted face masks can nearly double the protection against the virus.

Scientists have claimed that double masking or the act of wearing two tightly-fitted face masks, has proven to be highly effective in filtering out SARS-CoV-2-sized particles, preventing them from reaching the wearer's nose and mouth.

This development comes in the backdrop of the second wave of the pandemic sweeping across the country, as India logged a record 3,32,730 new Covid-19 infections on Friday, pushing the country’s caseload to 16,263,695.

The research, published in the journal JAMA Internal Medicine, shows that the reason for the enhanced filtration is not so much adding layers of cloth, but eliminating any gaps or poor-fitting areas of a mask.

"The medical procedure masks are designed to have very good filtration potential based on their material, but the way they fit our faces isn't perfect," said Emily Sickbert-Bennett, an associate professor at the University of North Carolina (UNC) in the US, and lead author of the study.

To test the fitted filtration efficiency (FFE) of a range of masks, the team filled a 10-foot by 10-foot stainless-steel exposure chamber with small salt particle aerosols.

The researchers wore a combination of masks to test how effective they were at keeping particles out of their breathing space.

Each individual mask or layered mask combination was fitted with a metal sample port attached to tubing in the exposure chamber that measured the concentration of particles entering the breathing space underneath the researcher's mask.

A second tube measured the ambient concentration of particles in the chamber.

The researchers determined the FFE by measuring particle concentration in the breathing space underneath the mask compared to that in the chamber.

"We also had the researchers in the chamber undergo a series of range-of-motion activities to simulate the typical motions a person may do throughout their day -- bending at the waist, talking, and looking left, right, up and down," said Phillip Clapp from the UNC School of Medicine.

According to their findings, the baseline FFE of a mask differs from person to person, due to each individual's unique face and mask fit.

Generally, a procedure mask without altering the fit, is about 40-60 per cent effective at keeping Covid-19-sized particles out, the researchers said.

A cloth mask is about 40 per cent effective, they said.

Their latest findings on doubling of face masks shows that when a cloth mask is placed over a surgical mask, the FFE improved by about 20 per cent.

The filtration efficiency improved even more with a snug-fitting, sleeve-type mask, such as a gaiter, according to the researchers.

When layered over procedure masks, cloth masks improve fit by eliminating gaps and holding the procedure mask closer to the face, consistently covering the nose and mouth.

When a procedure mask is worn over a cloth mask, FFE improved by 16 per cent.

"We've found that wearing two loosely fitted masks will not give you the filtration benefit that one, snug-fitting procedure mask will," Sickbert-Bennett said.

"And with the current data supporting how effective mask-wearing is at preventing the spread of Covid-19, the best kind of double-masking is when you and the person you are interacting with are each correctly wearing a very snug-fitting mask," she added.

(With PTI inputs)