Evidence map›Paper›PMID 39071614›Full record

ArticleHeliyon2024

A spatiotemporal analysis of personal casualty accidents in China's electric power industry.

Shu Chen, Dianxue Wang, Xinkai Zhang, Bo Shao, Kunyu Cao, Zhi Li

Abstract read
PubMed Full text at PMC Publisher
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

6 authors.

Shu ChenHubei Key Laboratory of hydropower engineering construction and management, China Three Gorges University, Yichang, Hubei, 443002, China.
Dianxue WangHubei Key Laboratory of hydropower engineering construction and management, China Three Gorges University, Yichang, Hubei, 443002, China.
Xinkai ZhangShanghai Investigation, Design & Research Institute Corporation, Shanghai, 200335, China.
Bo ShaoHubei Key Laboratory of hydropower engineering construction and management, China Three Gorges University, Yichang, Hubei, 443002, China.
Kunyu CaoHubei Key Laboratory of hydropower engineering construction and management, China Three Gorges University, Yichang, Hubei, 443002, China.
Zhi LiChina Three Gorges Corporation, Wuhan, 430010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electric power industry in China has experienced significant growth in recent years. Despite efforts to improve safety management in the industry, accidents still occur frequently. This study aimed to analyze the personal casualty accidents in the electric power industry from 2012 to 2021. Specific methods used include descriptive analysis, principal component analysis, and Theil index model. The results indicated that fall, electric shock, and collapse were the primary types of accidents, accounting for 59.65 % of all accidents. Accidents were higher in April and August, but lower in February. While the accident rate was relatively low on Mondays, the fatality rate was higher on Mondays, Thursdays, and Fridays. Taking into account accidents, workload, and labor, we found that Ningxia, Hainan, and Guangxi exhibited subpar levels of safety management within the electric power industry. The overall difference in the number of deaths in 31 provinces was significant in 2012 and 2016. It was significantly reduced in 2021. In terms of the proportion of intraregional and interregional differences, there were significant differences in the number of accidents and fatalities between provinces in the Central China and North China regions. This study provides valuable insights for enterprises to formulate accident prevention strategies and for the government to develop relevant policies.

Indexed as

China's electric power industryPrincipal component analysisSpatiotemporal analysisStatistical analysisTheil index

Identifiers

PMID39071614
PMCPMC11283094

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.