Evidence map›Paper›PMID 34103573›Full record

ArticleScientific reports2021

Expiratory aerosol particle escape from surgical masks due to imperfect sealing.

Christopher D Cappa, Sima Asadi, Santiago Barreda, Anthony S Wexler, Nicole M Bouvier, William D Ristenpart

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Maintaining mask momentum in transplant recipients.Transplant infectious disease : an official journal of the Transplantation Society · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christopher D CappaDepartment of Civil and Environmental Engineering, University of California Davis, 1 Shields Ave., Davis, CA, 95616, USA. cdcappa@ucdavis.edu.
Sima AsadiDepartment of Chemical Engineering, University of California Davis, 1 Shields Ave., Davis, CA, 95616, USA.
Santiago BarredaDepartment of Linguistics, University of California Davis, 1 Shields Ave., Davis, CA, 95616, USA.
Anthony S WexlerDepartment of Chemical Engineering, University of California Davis, 1 Shields Ave., Davis, CA, 95616, USA.
Nicole M BouvierDepartment of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place, New York, NY, 10029, USA.
William D RistenpartDepartment of Chemical Engineering, University of California Davis, 1 Shields Ave., Davis, CA, 95616, USA.

Funding

Quantifying Environmental Variables Affecting Airborne Influenza TransmissionR01AI110703 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOUVIER, NICOLE M. · 2015 to 2019
$2.0M
NIAID NIH HHS R01 AI110703
6 · The paper itself

Abstract

Wearing surgical masks or other similar face coverings can reduce the emission of expiratory particles produced via breathing, talking, coughing, or sneezing. Although it is well established that some fraction of the expiratory airflow leaks around the edges of the mask, it is unclear how these leakage airflows affect the overall efficiency with which masks block emission of expiratory aerosol particles. Here, we show experimentally that the aerosol particle concentrations in the leakage airflows around a surgical mask are reduced compared to no mask wearing, with the magnitude of reduction dependent on the direction of escape (out the top, the sides, or the bottom). Because the actual leakage flowrate in each direction is difficult to measure, we use a Monte Carlo approach to estimate flow-corrected particle emission rates for particles having diameters in the range 0.5-20 μm. in all orientations. From these, we derive a flow-weighted overall number-based particle removal efficiency for the mask. The overall mask efficiency, accounting both for air that passes through the mask and for leakage flows, is reduced compared to the through-mask filtration efficiency, from 93 to 70% for talking, but from only 94-90% for coughing. These results demonstrate that leakage flows due to imperfect sealing do decrease mask efficiencies for reducing emission of expiratory particles, but even with such leakage surgical masks provide substantial control.

Indexed as

AerosolsCoughExhalationFiltrationMasksAdolescentAdultCommunicable Disease ControlCOVID-19Equipment FailureFemaleHumansMaleMiddle AgedMonte Carlo MethodParticle SizeAerosols

Identifiers

PMID34103573
PMCPMC8187651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.