Evidence map›Paper›PMID 35351959›Full record

ArticleJournal of exposure science & environmental epidemiology2022

Characterizing respiratory aerosol emissions during sustained phonation.

Tanvir Ahmed, Mahender Singh Rawat, Andrea R Ferro, Amir A Mofakham, Brian T Helenbrook, Goodarz Ahmadi, Dinushani Senarathna, Sumona Mondal, Deborah Brown, Byron D Erath

Open access · bronzeAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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

10 authors at 2 institutions in 1 country.

Tanvir AhmedDepartment of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Mahender Singh RawatDepartment of Civil and Environmental Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Andrea R FerroDepartment of Civil and Environmental Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Amir A MofakhamDepartment of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Brian T HelenbrookDepartment of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Goodarz AhmadiDepartment of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Dinushani SenarathnaDepartment of Mathematics, Clarkson University, Potsdam, NY, 13699, USA.
Sumona MondalDepartment of Mathematics, Clarkson University, Potsdam, NY, 13699, USA.
Deborah BrownJoint Educational Programs, Trudeau Institute, Saranac Lake, NY, 12983, USA.
Byron D ErathDepartment of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, 13699, USA. berath@clarkson.edu.ORCID http://orcid.org/0000-0003-0057-6731
Clarkson University · USTrudeau Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo elucidate the role of phonation frequency (i.e., pitch) and intensity of speech on respiratory aerosol emissions during sustained phonations.

methodsRespiratory aerosol emissions are measured in 40 (24 males and 16 females) healthy, non-trained singers phonating the phoneme /a/ at seven specific frequencies at varying vocal intensity levels.

resultsIncreasing frequency of phonation was positively correlated with particle production (r = 0.28, p < 0.001). Particle production rate was also positively correlated (r = 0.37, p < 0.001) with the vocal intensity of phonation, confirming previously reported findings. The primary mode (particle diameter ~0.6 μm) and width of the particle number size distribution were independent of frequency and vocal intensity. Regression models of the particle production rate using frequency, vocal intensity, and the individual subject as predictor variables only produced goodness of fit of adjusted R SIGNIFICANCE: The results suggest there remain unexplored effects (e.g., biomechanical, environmental, behavioral, etc.) that contribute to the high variability in respiratory particle production rates, which ranged from 0.2 particles/s to 142 particles/s across all trials. This is evidenced as well by changes in the distribution of participant particle production that transitions to a more bimodal distribution (second mode at particle diameter ~2 μm) at higher frequencies and vocal intensity levels.

Indexed as

PhonationRespiratory Aerosols and DropletsFemaleHumansMaleSpeechExpiratory particle emissionPathogen transmission

Identifiers

PMID35351959
PMCPMC8963400
OpenAlexW4221129314

What OpenQuestion holds

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Registered trials

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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.