Evidence map›Paper›PMID 34099950›Full record

ArticleAcoustics Australia2021

Acoustic Effect of Face Mask Design and Material Choice.

B T Balamurali, Tan Enyi, Christopher Johann Clarke, Sim Yuh Harn, Jer-Ming Chen

Open access · bronzeAbstract read
In one paragraph

Article in Acoustics Australia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Influence of face masks on recalibration of phonetic categories.Attention, perception & psychophysics · 2023
    Article
  2. Mask-Wearing Behaviors after Two Years of Wearing Masks Due to COVID-19 in Korea: A Cross-Sectional Study.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

B T BalamuraliSingapore University of Technology and Design, 8 Somapah Rd, Singapore, Singapore.
Tan EnyiSingapore University of Technology and Design, 8 Somapah Rd, Singapore, Singapore.
Christopher Johann ClarkeSingapore University of Technology and Design, 8 Somapah Rd, Singapore, Singapore.
Sim Yuh HarnSingapore University of Technology and Design, 8 Somapah Rd, Singapore, Singapore.
Jer-Ming ChenSingapore University of Technology and Design, 8 Somapah Rd, Singapore, Singapore.
Singapore University of Technology and Design · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of face masks is now a standard public health response to the 2020 pandemic. Although studies have shown that wearing a face mask interferes with speech and intelligibility, relating the acoustic response of the mask to design parameters such as fabric choice, number of layers and mask geometry is not well understood. Using a dummy head mounted with a loudspeaker at its mouth generating a broadband signal, we report the acoustic response associated with 10 different masks (different material/design) and the effect of material layers; a small number of masks were found to be almost acoustically transparent (minimal losses). While different mask material and design result in different frequency responses, we find that material selection has somewhat greater influence on transmission characteristics than mask design or geometry choices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40857-021-00245-2.

Indexed as

Acoustic responseCovid-19Face maskPandemicSpeech intelligibility

Identifiers

PMID34099950
PMCPMC8172558
OpenAlexW3170025675

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.