Evidence map›Paper›PMID 34297885›Full record

ArticleIndoor air2021

Variability in expiratory trajectory angles during consonant production by one human subject and from a physical mouth model: Application to respiratory droplet emission.

Tanvir Ahmed, Hannah E Wendling, Amir A Mofakham, Goodarz Ahmadi, Brian T Helenbrook, Andrea R Ferro, Deborah M Brown, Byron D Erath

Abstract read
In one paragraph

Article in Indoor air, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Characterizing respiratory aerosol emissions during sustained phonation.Journal of exposure science & environmental epidemiology · 2022
    Article
  3. 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

8 authors.

Tanvir AhmedDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.
Hannah E WendlingDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.
Amir A MofakhamDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.
Goodarz AhmadiDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.ORCID 0000-0001-5277-7960
Brian T HelenbrookDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.ORCID 0000-0002-6369-6805
Andrea R FerroDepartment of Civil and Environmental Engineering, Clarkson University, Potsdam, New York, USA.
Deborah M BrownJoint Educational Programs, Trudeau Institute, Saranac Lake, New York, USA.
Byron D ErathDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.ORCID 0000-0003-0057-6731

Funding

National Science Foundation CBET:2029548
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the need to improve understanding of droplet transport during expiratory emissions. While historical emphasis has been placed on violent events such as coughing and sneezing, the recognition of asymptomatic and presymptomatic spread has identified the need to consider other modalities, such as speaking. Accurate prediction of infection risk produced by speaking requires knowledge of both the droplet size distributions that are produced, as well as the expiratory flow fields that transport the droplets into the surroundings. This work demonstrates that the expiratory flow field produced by consonant productions is highly unsteady, exhibiting extremely broad inter- and intra-consonant variability, with mean ejection angles varying from ≈+30° to -30°. Furthermore, implementation of a physical mouth model to quantify the expiratory flow fields for fricative pronunciation of [f] and [θ] demonstrates that flow velocities at the lips are higher than previously predicted, reaching 20-30 m/s, and that the resultant trajectories are unstable. Because both large and small droplet transport are directly influenced by the magnitude and trajectory of the expirated air stream, these findings indicate that prior investigations of the flow dynamics during speech have largely underestimated the fluid penetration distances that can be achieved for particular consonant utterances.

Indexed as

AerosolsAir Pollution, IndoorCOVID-19HumansMouthResearch SubjectsSARS-CoV-2SpeechAerosolsconsonant expirationCOVID-19exhaled airflowspeech

Identifiers

PMID34297885
PMCPMC8447379

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.