Evidence map›Paper›PMID 36040272›Full record

ArticleIndoor air2022

Boundary conditions for exhaled airflow from a cough with a surgical or N95 mask.

Yue Pan, Haiqiang Zhang, Zhuolun Niu, Yuting An, Chun Chen

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yue PanDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Haiqiang ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhuolun NiuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yuting AnDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-5652-4215
Chun ChenDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-9279-8077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearing surgical or N95 masks is effective in reducing the infection risks of airborne infectious diseases. However, in the literature there are no detailed boundary conditions for airflow from a cough when a surgical or N95 mask is worn. These boundary conditions are essential for accurate prediction of exhaled particle dispersion by computational fluid dynamics (CFD). This study first constructed a coughing manikin with an exhalation system to simulate a cough from a person. The smoke visualization method was used to measure the airflow profile from a cough. To validate the setup of the coughing manikin, the results were compared with measured data from subject tests reported in the literature. The validated coughing manikin was then used to measure the airflow boundary conditions for a cough when a surgical mask was worn and when an N95 mask was worn, respectively. Finally, this study applied the developed airflow boundary conditions to calculate person-to-person particle transport from a cough when masks are worn. The calculated exhaled particle patterns agreed well with the smoke pattern in the visualization experiments. Furthermore, the calculated results indicated that, when the index person wore a surgical and a N95 mask, the total exposure of the receptor was reduced by 93.0% and 98.8%, respectively.

Indexed as

Air Pollution, IndoorExhalationCoughHumansN95 Respiratorsairflow boundary conditionscomputational fluid dynamicsN95 maskSMOKE visualization testssurgical mask

Identifiers

PMID36040272
PMCPMC9538929

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.