Evidence map›Paper›PMID 32835043›Full record

ArticleExtreme Mechanics Letters2020

Performance of fabrics for home-made masks against the spread of COVID-19 through droplets: A quantitative mechanistic study.

Onur Aydin, Bashar Emon, Shyuan Cheng, Liu Hong, Leonardo P Chamorro, M Taher A Saif

Open access · greenAbstract read
In one paragraph

Article in Extreme Mechanics Letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
17.5field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 158 citations in OpenAlex.

  1. Pooled it
  2. Effectiveness of cloth face masks to prevent viral spread: a meta-analysis.Journal of public health (Oxford, England) · 2024
    Pooled it
  3. Guidelines for Frontline Health Care Staff Safety for COVID-19.Journal of primary care & community health
    Guideline
  4. Trial
  5. Article
  6. Microdroplet Resuspension Off Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
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8 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Onur AydinMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
Bashar EmonMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
Shyuan ChengMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
Liu HongMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
Leonardo P ChamorroMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
M Taher A SaifMechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States of America.
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19) may spread through respiratory droplets released by infected individuals during coughing, sneezing, or speaking. Given the limited supply of professional respirators and face masks, the U.S. Centers for Disease Control and Prevention (CDC) has recommended home-made cloth face coverings for use by the general public. While there have been several studies on aerosol filtration performance of household fabrics, their effectiveness at blocking larger droplets has not been investigated. Here, we ascertained the performance of 11 common household fabrics at blocking large, high-velocity droplets, using a commercial medical mask as a benchmark. We also assessed the breathability (air permeability), texture, fiber composition, and water absorption properties of the fabrics. We found that most fabrics have substantial blocking efficiency (median values >70%). In particular, two layers of highly permeable fabric, such as T-shirt cloth, blocks droplets with an efficiency (>94%) similar to that of medical masks, while being approximately twice as breathable. The first layer allows about 17% of the droplet volume to transmit, but it significantly reduces their velocity. This allows the second layer to trap the transmitted droplets resulting in high blocking efficacy. Overall, our study suggests that cloth face coverings, especially with multiple layers, may help reduce droplet transmission of respiratory infections. Furthermore, face coverings made from materials such as cotton fabrics allow washing and reusing, and can help reduce the adverse environmental effects of widespread use of commercial disposable and non-biodegradable facemasks.

Indexed as

BreathabilityCloth face coveringCOVID-19Droplet blockingFace maskRespiratory dropletsSARS-CoV-2

Identifiers

PMID32835043
PMCPMC7417273
OpenAlexW3047944445

What OpenQuestion holds

Textmetadata
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.