Evidence map›Paper›PMID 34127875›Full record

ArticleBuilding and environment2021

Measurements of exhaled airflow velocity through human coughs using particle image velocimetry.

Mengtao Han, Ryozo Ooka, Hideki Kikumoto, Wonseok Oh, Yunchen Bu, Shuyuan Hu

Open access · greenAbstract read
In one paragraph

Article in Building and environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 51 citations in OpenAlex.

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  15. Flow dynamics of droplets expelled during sneezing.Physics of fluids (Woodbury, N.Y. : 1994) · 2021
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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

6 authors at 2 institutions in 2 countries.

Mengtao HanSchool of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China.
Ryozo OokaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Hideki KikumotoInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Wonseok OhInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Yunchen BuSchool of Engineering, The University of Tokyo, Tokyo, Japan.
Shuyuan HuSchool of Engineering, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sudden outbreak of coronavirus (COVID-19) has infected over 100 million people and led to over two million deaths (data in January 2021), posing a significant threat to global human health. As a potential carrier of the novel coronavirus, the exhaled airflow of infected individuals through coughs is significant in virus transmission. The research of detailed airflow characteristics and velocity distributions is insufficient because most previous studies utilize particle image velocimetry (PIV) with low frequency. This study measured the airflow velocity of human coughs in a chamber using PIV with high frequency (interval: 1/2986 s) to provide a detailed validation database for droplet propagation CFD simulation. Sixty cough cases for ten young healthy nonsmoking volunteers (five males and five females) were analyzed. Ensemble-average operations were conducted to eliminate individual variations. Vertical and horizontal velocity distributions were measured around the mouth area. Overall cough characteristics such as cough duration time (CDT), peak velocity time (PVT), maximum velocities, and cough spread angle were obtained. The CDT of the cough airflow was 520-560 m s, while PVT was 20 m s. The male/female averaged maximum velocities were 15.2/13.1 m/s. The average vertical/horizontal cough spread angle was 15.3°/13.3° for males and 15.6°/14.2° for females. In addition, the spatial and temporal distributions of ensemble-averaged velocity profiles were obtained in the vertical and horizontal directions. The experimental data can provide a detailed validation database the basis for further study on the influence of cough airflow on virus transmission using computational fluid dynamic simulations.

Indexed as

CoughCough duration timeCough spread angleParticle image velocimetryPeak velocity timeVelocity profile

Identifiers

PMID34127875
PMCPMC8188782
OpenAlexW3166284462

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.