Evidence map›Paper›PMID 39811268›Full record

ArticleHeliyon2025

Investigation of airborne contaminant transmissions using network models: COVID-19 outbreak and potential risk in senior care facilities.

Chul Kim, Yun Gyu Lee, Kichul Kim

Abstract read
In one paragraph

Article in Heliyon, 2025. 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

3 authors.

Chul KimDepartment of Architectural Engineering, Pukyong National University, Busan, 48513, Korea.
Yun Gyu LeeDepartment of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, Korea.
Kichul KimDepartment of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many COVID-19 outbreaks occurred in senior care facilities during the last three years. Senior care facilities are nursing places for the long-term treatment and care of senior citizens, who are prone to be exposed to an infectious disease that spreads into these buildings. Therefore, this study investigated airborne contaminant transmissions based on outbreak cases in senior care facilities in Korea and analyzed the potential impact of architectural features in a selected senior care facility using network simulations. The results showed that during COVID-19 outbreaks in 85 senior care facilities the staff accounted for the largest proportion of the index cases, indicating that the staff members would be the primary virus carriers in the initial process of the virus transmission in the senior care facilities. Network simulations indicated that the (reverse) stack effect could significantly influence airborne contaminant transmission in these facilities during the summer and winter months. The indoor airborne contaminant exposure may change according to seasonal indoor airflows, with the potential for long-distance airborne contaminant transfer through shafts (e.g., elevators and staircases) in the senior care facility. The findings of this study can serve as a reference for developing customized countermeasures against airborne contaminant transmissions in senior care facilities.

Indexed as

Airborne contaminantCase studyCountermeasureSenior care facilityStack effect

Identifiers

PMID39811268
PMCPMC11730873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.