Influences of obstacle factors on the transmission trends of respiratory infectious diseases in indoor public places.

Ziwei Cui, Ming Cai, Yao Xiao, Zheng Zhu, Gongbo Chen

Abstract read

In one paragraph

Article in Journal of building engineering, 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

5 authors.

Ziwei CuiSchool of Intelligent System Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.

Ming CaiSchool of Intelligent System Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.

Yao XiaoSchool of Intelligent System Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.

Zheng ZhuCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang, China.

Gongbo ChenGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public facilities are important transmission places for respiratory infectious diseases (e.g., COVID-19), due to the frequent crowd interactions inside. Usually, changes of obstacle factors can affect the movements of human crowds and result in different epidemic transmissions among individuals. However, most related studies only focus on the specific scenarios, but the common rules are usually ignored for the impacts of obstacles' spatial elements on epidemic transmission. To tackle these problems, this study aims to evaluate the impacts of three spatial factors of obstacles (i.e., size, quantity, and placement) on infection spreading trends in two-dimension, which can provide scientific and concise spatial design guidelines for indoor public places.

Indexed as

Indoor environmentPedestrian-based epidemic spreading modelSpace syntaxSpatial designStructural equation modeling

Identifiers

PMID40478097

DOI10.1016/j.jobe.2022.105706

PMCPMC9737524

What OpenQuestion holds

Textmetadata

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Registered trials

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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.