Evidence map›Paper›PMID 31986165›Full record

ArticlePloS one2020

Effect of voicing and articulation manner on aerosol particle emission during human speech.

Sima Asadi, Anthony S Wexler, Christopher D Cappa, Santiago Barreda, Nicole M Bouvier, William D Ristenpart

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
20.4field-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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 189 citations in OpenAlex.

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26 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 3 institutions in 1 country.

Sima AsadiDept. of Chemical Engineering, University of California Davis, Davis, California, United States of America.
Anthony S WexlerDept. of Mechanical and Aerospace Engineering, University of California Davis, Davis, California, United States of America.
Christopher D CappaDept. of Civil and Environmental Engineering, University of California Davis, Davis, California, United States of America.
Santiago BarredaDept. of Linguistics, University of California Davis, Davis, California, United States of America.
Nicole M BouvierDiv. of Infectious Diseases, Dept. of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
William D RistenpartDept. of Chemical Engineering, University of California Davis, Davis, California, United States of America.ORCID 0000-0002-4935-6310
University of California, Davis · USIcahn School of Medicine at Mount Sinai · USQuality Research · US

Funding

UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Ameer Taha · 2015 to 2026
$26.0M
Quantifying Environmental Variables Affecting Airborne Influenza TransmissionR01AI110703 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOUVIER, NICOLE M. · 2015 to 2019
$2.0M
NIAID NIH HHS R01 AI110703NIEHS NIH HHS P30 ES023513
6 · The paper itself

Abstract

Previously, we demonstrated a strong correlation between the amplitude of human speech and the emission rate of micron-scale expiratory aerosol particles, which are believed to play a role in respiratory disease transmission. To further those findings, here we systematically investigate the effect of different 'phones' (the basic sound units of speech) on the emission of particles from the human respiratory tract during speech. We measured the respiratory particle emission rates of 56 healthy human volunteers voicing specific phones, both in isolation and in the context of a standard spoken text. We found that certain phones are associated with significantly higher particle production; for example, the vowel /i/ ("need," "sea") produces more particles than /ɑ/ ("saw," "hot") or /u/ ("blue," "mood"), while disyllabic words including voiced plosive consonants (e.g., /d/, /b/, /g/) yield more particles than words with voiceless fricatives (e.g., /s/, /h/, /f/). These trends for discrete phones and words were corroborated by the time-resolved particle emission rates as volunteers read aloud from a standard text passage that incorporates a broad range of the phones present in spoken English. Our measurements showed that particle emission rates were positively correlated with the vowel content of a phrase; conversely, particle emission decreased during phrases with a high fraction of voiceless fricatives. Our particle emission data is broadly consistent with prior measurements of the egressive airflow rate associated with the vocalization of various phones that differ in voicing and articulation. These results suggest that airborne transmission of respiratory pathogens via speech aerosol particles could be modulated by specific phonetic characteristics of the language spoken by a given human population, along with other, more frequently considered epidemiological variables.

Indexed as

AdolescentAdultAerosolsAir MicrobiologyCoughExhalationFemaleHumansMaleMiddle AgedPhoneticsRespiratory Tract InfectionsSpeechSpeech AcousticsSpeech Articulation TestsVoiceAerosols

Identifiers

PMID31986165
PMCPMC6984704
OpenAlexW3003879696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.