Evidence map›Paper›PMID 37287526›Full record

ArticleBuilding and environment2023

Aerosol exchange between pressure-equilibrium rooms induced by door motion and human movement.

Minfeng Zheng, Yaming Fan, Xiangdong Li, Daniel Lester, Xin Chen, Yiyu Li, Ivan Cole

Abstract read
In one paragraph

Article in Building and environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Minfeng ZhengFujian Eco-materials Engineering Research Center, Fujian University of Technology, Fuzhou, 350118, PR China.
Yaming FanFujian Eco-materials Engineering Research Center, Fujian University of Technology, Fuzhou, 350118, PR China.
Xiangdong LiSchool of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
Daniel LesterSchool of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
Xin ChenCollege of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, PR China.
Yiyu LiFujian Eco-materials Engineering Research Center, Fujian University of Technology, Fuzhou, 350118, PR China.
Ivan ColeSchool of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is now widely recognised that aerosol transport is major vector for transmission of diseases such as COVID-19, and quantification of aerosol transport in the built environment is critical to risk analysis and management. Understanding the effects of door motion and human movement on the dispersion of virus-laden aerosols under pressure-equilibrium conditions is of great significance to the evaluation of infection risks and development of mitigation strategies. This study uses novel numerical simulation techniques to quantify the impact of these motions upon aerosol transport and provides valuable insights into the wake dynamics of swinging doors and human movement. The results show that the wake flow of an opening swinging door delays aerosol escape, while that of a person walking out entrains aerosol out of the room. Aerosol escape caused by door motion mainly happens during the closing sequence which pushes the aerosols out. Parametric studies show that while an increased door swinging speed or human movement speed can enhance air exchange across the doorway, the cumulative aerosol exchange across the doorway is not clearly affected by the speeds.

Indexed as

Aerosol exchangeHuman movementIndoor environmentPressure equilibriumSwinging door

Identifiers

PMID37287526
PMCPMC10232724

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.