Evidence map›Paper›PMID 39286131›Full record

ArticleHeliyon2024

Fire safety status and evacuation of medical facility considering elevated oxygen concentrations.

Mohsin Ali Shaikh, Rehmat Karim, Nashiru Mumuni Daniel, Mujeeb Ali Khan

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

4 authors.

Mohsin Ali ShaikhState Key Laboratory of Fire Science, University of Science and Technology of China, JinZhai Road 96, Hefei, Anhui, 230026, China.
Rehmat KarimState Key Laboratory of Fire Science, University of Science and Technology of China, JinZhai Road 96, Hefei, Anhui, 230026, China.
Nashiru Mumuni DanielState Key Laboratory of Fire Science, University of Science and Technology of China, JinZhai Road 96, Hefei, Anhui, 230026, China.
Mujeeb Ali KhanState Key Laboratory of Fire Science, University of Science and Technology of China, JinZhai Road 96, Hefei, Anhui, 230026, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of infectious diseases and rapid population expansion has increased the number of medical facilities. Due to the patients' limited mobility, these hospitals are more susceptible to fire disasters. Both Pathfinder and Fire Dynamic simulators were used to calculate the required safe evacuation time (RSET), heat release rate, visibility, temperature, CO, and oxygen effects on temperature, and available safe evacuation time (ASET). The safety egress of the medical hospital was then evaluated by comparing the available safe evacuation time (ASET) and required safe evacuation time (RSET). The simulation findings showed that the egress guides depend on delay time when delay time increases the egress guides drop. We also studied the importance of egress route decisions and suggested that at least 20 to 30 egress guides be on duty in the medical facility. The safety criteria for the medical facility have been proposed based on the delay time with the normalized egress guides. The high oxygen concentration in a hospital can put the medical staff and patients in danger and limit the required safe egress time to less than 150s. The proposed measures can be used to assess the evacuation safety of a typical medical hospital in use relatively quickly and efficiently.

Indexed as

EvacuationFire dynamic simulatorHospitalPathfinderRequired safe evacuation time (RSET)

Identifiers

PMID39286131
PMCPMC11403489

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.