Evidence map›Paper›PMID 34840404›Full record

ArticleBuilding and environment2021

Enlightenment of re-entry airflow: The path of the airflow and the airborne pollutants transmission in buildings.

C W Tung, C M Mak, J L Niu, K Hung, Yan Wu, Nam Tung, H M Wong

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 2 countries.

C W TungDepartment of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
C M MakDepartment of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
J L NiuDepartment of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
K HungDepartment of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Yan WuSchool of Mechanical Engineering, Tongji University, China.
Nam TungDepartment of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
H M WongFaculty of Dentistry, The University of Hong Kong, Pok Fu Lam, Hong Kong Island, Hong Kong, China.
Hong Kong Polytechnic University · HKTongji University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viable aerosols in the airflow may increase the risk of occupants contracting diseases. Natural ventilation is common in buildings and is accompanied by re-entry airflow during the ventilation process. If the re-entry airflow contains toxic or infectious species, it may cause potential harm to residents. One of the Covid-19 outbreaks occurred in a public residential building at Luk Chuen House (LC-House) in Hong Kong. It is highly suspected that the outbreak of the disease is related to the re-entry airflow. The study attempts to explain and discuss possible causes of the outbreak. In order to understand the impact of airflow on the outbreak, a public residential building similar to LC-House was used in the study. Two measurements M - I and M - II with the same settings were conducted for a sampling unit in the corridor under low and strong wind conditions respectively. The sampling unit and the tracer gas carbon dioxide (CO

Indexed as

Apparent air changes per hourFade-out indexNew dual-zone modelRe-entry airflowSemi-open corridor

Identifiers

PMID34840404
PMCPMC8609235
OpenAlexW3134775136

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.