Evidence map›Paper›PMID 34297881›Full record

ArticleIndoor air2021

Respiratory bioaerosol deposition from a cough and recovery of viable viruses on nearby seats in a cabin environment.

Cunteng Wang, Jingcui Xu, Sau Chung Fu, Ka Chung Chan, Christopher Y H Chao

Abstract read
In one paragraph

Article in Indoor air, 2021. 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. Article
  2. Article
  3. Review
  4. 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.

Cunteng WangDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3014-8407
Jingcui XuDepartment of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.ORCID 0000-0001-7144-2648
Sau Chung FuDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-2861-7582
Ka Chung ChanDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-1944-1175
Christopher Y H ChaoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-2974-0403

Funding

Research Grants Council, University Grants Committee
6 · The paper itself

Abstract

Respiratory bioaerosol deposition in public transport cabins is critical for risk analysis and control of contact transmission. In this work, we built a two-row four-seat setup and an air duct system to simulate a cabin environment. A thermal manikin on the rear left-hand seat was taken as the infected passenger (IP) and "coughed" three times through a cough generator. The deposited viruses and droplets on nearby seats were measured by a cultivation method and microscope, respectively. The effects of seat backrest and overhead gasper jet were studied. Results showed that the number of deposited virus on the front seat was one order of magnitude higher than that on other seats which only contained droplets smaller than 10 µm in diameter. When the backrest was 15 cm higher than the cough, the deposited number of viruses was reduced to 5% of that with the backrest at the same height with the cough. The gasper jet above the IP with a velocity of 1.5 m/s can reduce the deposited viruses to 4% of that with gasper off. It indicates that both the gasper jet and backrest can work as mitigation measures to block the cough jet and protect the nearby passengers.

Indexed as

Air Pollution, IndoorVirusesCoughHumanscabin environmentcoughCOVID-19depositiongasper jetpublic transport

Identifiers

PMID34297881
PMCPMC8447388

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.