Evidence map›Paper›PMID 33326449›Full record

ArticlePloS one2020

Check the gap: Facemask performance and exhaled aerosol distributions around the wearer.

Emily L Kolewe, Zachary Stillman, Ian R Woodward, Catherine A Fromen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Occupational exposure monitoring of airborne respiratory viruses in outpatient medical clinics.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2024
    Article
  4. Review
  5. Effects of surgical masks on aerosol dispersion in professional singing.Journal of exposure science & environmental epidemiology · 2022
    Article
  6. Bridge the gap: correlate face mask leakage and facial features with 3D morphable face models.Journal of exposure science & environmental epidemiology · 2022
    Article
  7. Article
  8. Prediction of N95 Respirator Fit from Fogging of Eyeglasses: A Pilot Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  9. Article
  10. Article
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

4 authors at 1 institution in 1 country.

Emily L KoleweDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, United States of America.
Zachary StillmanDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, United States of America.
Ian R WoodwardDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, United States of America.
Catherine A FromenDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, United States of America.ORCID 0000-0002-7528-0997
University of Delaware · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
NIGMS NIH HHS P20 GM103446NIGMS NIH HHS T32 GM008550
6 · The paper itself

Abstract

Current facemask research focuses on material characterization and efficiency; however, facemasks are often not tested such that aerosol distributions are evaluated from the gaps in the sides, bottom, and nose areas. Poor evaluation methods could lead to misinformation on optimal facemasks use; a high-throughput, reproducible method which illuminates the issue of fit influencing aerosol transmission is needed. To this end, we have created an in vitro model to quantify particle transmission by mimicking exhalation aerosols in a 3D printed face-nose-mouth replica via a nebulizer and quantifying particle counts using a hand-held particle counter. A sewn, sewn with pipe cleaner nose piece, and sewn with a coffee filter facemask were used to evaluate current common homemade sewn facemask designs, benchmarked against industry standard surgical, N95 respirator tightly fit, and N95 respirator loosely fit facemasks. All facemasks have significantly reduced particle counts in front of the facemask, but the side and top of the facemask showed increases in particle counts over the no facemask condition at that same position, suggesting that some proportion of aerosols are being redirected to these gaps. An altered size distribution of aerosols that escape at the vulnerable positions was observed; escaped particles have larger count median diameters, with a decreased ratio of smaller to larger particles, possibly due to hygroscopic growth or aggregation. Of the homemade sewn facemasks, the facemask with a coffee filter insert performed the best at reducing escaped aerosols, with increased efficiency also observed for sewn masks with a pipe cleaner nose piece. Importantly, there were minimal differences between facemasks at increasing distances, which supports that social distance is a critical element in reducing aerosol transmission. This work brings to light the importance of quantifying particle count in positions other than directly in front of the facemask and identifies areas of research to be explored.

Indexed as

ExhalationMasksAerosolsHumansParticle SizePressureAerosols

Identifiers

PMID33326449
PMCPMC7744055
OpenAlexW3112761598

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.