Evidence map›Paper›PMID 35762243›Full record

ArticleIndoor air2022

Characterization of aerosol plumes from singing and playing wind instruments associated with the risk of airborne virus transmission.

Lingzhe Wang, Tong Lin, Hevander Da Costa, Shengwei Zhu, Tehya Stockman, Abhishek Kumar, James Weaver, Mark Spede, Donald K Milton, Jean Hertzberg and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Indoor air, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-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, 19 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Lingzhe WangDepartment of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.ORCID 0000-0001-5657-4538
Tong LinDepartment of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-5113-3423
Hevander Da CostaDepartment of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.
Shengwei ZhuDepartment of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-0202-5514
Tehya StockmanDepartment of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0001-6613-9636
Abhishek KumarDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
James WeaverNational Federation of State High School Associations, Indianapolis, Indiana, USA.
Mark SpedeDepartment of Performing Arts, Clemson University, Clemson, South Carolina, USA.ORCID 0000-0002-8491-5042
Donald K MiltonMaryland Institute for Applied Environmental Health, School of Public Health, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-0550-7834
Jean HertzbergDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-8984-6808
Darin W TooheyDepartment of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0003-2853-1068
Marina E VanceDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0003-0940-0353
Shelly L MillerDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-1967-7551
Jelena SrebricDepartment of Mechanical Engineering, University of Maryland, College Park, Maryland, USA.ORCID 0000-0001-6825-5091
University of Idaho · USUniversity of Maryland, College Park · USClemson University · USIndiana State Department of Education · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exhalation of aerosols during musical performances or rehearsals posed a risk of airborne virus transmission in the COVID-19 pandemic. Previous research studied aerosol plumes by only focusing on one risk factor, either the source strength or convective transport capability. Furthermore, the source strength was characterized by the aerosol concentration and ignored the airflow rate needed for risk analysis in actual musical performances. This study characterizes aerosol plumes that account for both the source strength and convective transport capability by conducting experiments with 18 human subjects. The source strength was characterized by the source aerosol emission rate, defined as the source aerosol concentration multiplied by the source airflow rate (brass 383 particle/s, singing 408 particle/s, and woodwind 480 particle/s). The convective transport capability was characterized by the plume influence distance, defined as the sum of the horizontal jet length and horizontal instrument length (brass 0.6 m, singing 0.6 m and woodwind 0.8 m). Results indicate that woodwind instruments produced the highest risk with approximately 20% higher source aerosol emission rates and 30% higher plume influence distances compared with the average of the same risk indicators for singing and brass instruments. Interestingly, the clarinet performance produced moderate source aerosol concentrations at the instrument's bell, but had the highest source aerosol emission rates due to high source airflow rates. Flute performance generated plumes with the lowest source aerosol emission rates but the highest plume influence distances due to the highest source airflow rate. Notably, these comprehensive results show that the source airflow is a critical component of the risk of airborne disease transmission. The effectiveness of masking and bell covering in reducing aerosol transmission is due to the mitigation of both source aerosol concentrations and plume influence distances. This study also found a musician who generated approximately five times more source aerosol concentrations than those of the other musicians who played the same instrument. Despite voice and brass instruments producing measurably lower average risk, it is possible to have an individual musician produce aerosol plumes with high source strength, resulting in enhanced transmission risk; however, our sample size was too small to make generalizable conclusions regarding the broad musician population.

Indexed as

Air Pollution, IndoorCOVID-19Respiratory Aerosols and DropletsSingingAerosolsHumansMusicPandemicsAerosolsaerosol plumeairborne disease transmissionflow visualizationparticle image velocimetrysingingwind instruments

Identifiers

PMID35762243
PMCPMC9328346
OpenAlexW4282575234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.