Evidence map›Paper›PMID 35649932›Full record

ArticleThe Journal of the Acoustical Society of America2022

Modeling the influence of COVID-19 protective measures on the mechanics of phonation.

Jonathan J Deng, Mohamed A Serry, Matías Zañartu, Byron D Erath, Sean D Peterson

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2022. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Effect of medical mask on voice in patients with dysphonia.World journal of otorhinolaryngology - head and neck surgery · 2025
    Article
  3. Article
  4. 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

5 authors.

Jonathan J DengMechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
Mohamed A SerryMechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
Matías ZañartuDepartment of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile.ORCID 0000-0001-5581-4392
Byron D ErathMechanical and Aerospace Engineering, Clarkson University, Potsdam, New York 13699, USA.ORCID 0000-0003-0057-6731
Sean D PetersonMechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.ORCID 0000-0001-8746-2491

Funding

Use of ambulatory biofeedback to improve behavioral treatment of vocal hyperfunctionP50DC015446 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Robert E Hillman · 2017 to 2026
$25.5M
NIDCD NIH HHS P50 DC015446
6 · The paper itself

Abstract

In an effort to mitigate the 2019 novel coronavirus disease pandemic, mask wearing and social distancing have become standard practices. While effective in fighting the spread of the virus, these protective measures have been shown to deteriorate speech perception and sound intensity, which necessitates speaking louder to compensate. The goal of this paper is to investigate via numerical simulations how compensating for mask wearing and social distancing affects measures associated with vocal health. A three-mass body-cover model of the vocal folds (VFs) coupled with the sub- and supraglottal acoustic tracts is modified to incorporate mask and distance dependent acoustic pressure models. The results indicate that sustaining target levels of intelligibility and/or sound intensity while using these protective measures may necessitate increased subglottal pressure, leading to higher VF collision and, thus, potentially inducing a state of vocal hyperfunction, a progenitor to voice pathologies.

Indexed as

COVID-19VoiceHumansPhonationVibrationVocal Cords

Identifiers

PMID35649932
PMCPMC9068248

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.