Evidence map›Paper›PMID 36497763›Full record

ArticleInternational journal of environmental research and public health2022

Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network.

Jun Hu, Xuecai Xie, Xueming Shu, Shifei Shen, Xiaoyong Ni, Lei Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

6 authors.

Jun HuSchool of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China.
Xuecai XieDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China.
Xueming ShuDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China.
Shifei ShenDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China.
Xiaoyong NiSchool of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China.
Lei ZhangDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health. In this paper, we introduced the different types of IS in China, and conducted the fire risk assessment on 26 burning buildings in these IS, providing a semi-quantitative and scenario fire risk perception of IS in China for the readers. Two methods, the risk index and the Bayesian network, are proposed and adopted for the fire risk assessment in IS. First, a risk index system with a total of 69 factors is used to assess the degree of fire risk of buildings in IS semi-quantitatively, and the result shows that fire equipment and fire safety management on IS are seriously lacking. Then, a Bayesian network of building fire risk with a total of 66 nodes was established to assess the fire risk from ignition to spread as well as the safety evacuation. Overall, the possibility of ignition is high, but due to the role of fire equipment and fire protection design, the possibilities of fire from ignition to spread is gradually reduced. Finally, we also put forward some feasible suggestions for occupants in IS, community organizations and emergency managers to reduce the fire risk from the aspects of fire equipment and fire safety management.

Indexed as

Safety ManagementBayes TheoremChinaRisk AssessmentBayesian networkfire riskinformal settlementsrisk index

Identifiers

PMID36497763
PMCPMC9735542

What OpenQuestion holds

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LicenceCC BY
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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.