Evidence map›Paper›PMID 37418373›Full record

ArticlePloS one2023

Temporal and spatial trends in road traffic fatalities from 2001 to 2019 in Shandong Province, China.

Tao Wang, Zhi-Ying Yao, Bao-Peng Liu, Cun-Xian Jia

Abstract read
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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tao WangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Zhi-Ying YaoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Bao-Peng LiuDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Cun-Xian JiaDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0002-2651-147X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explored the temporal and spatial trends in road traffic fatalities in Shandong Province from 2001 to 2019 and discusses the possible influencing factors.

methodsWe collected data from the statistical yearbooks of the China National Bureau of Statistics and the Shandong Provincial Bureau of Statistics. Join-point Regression Program 4.9.0.0 and ArcGIS 10.8 software were used to analyze the temporal and spatial trends.

resultsThe mortality rate of road traffic injuries in Shandong Province decreased from 2001 to 2019, with an average annual decrease of 5.8% (Z = -20.7, P < 0.1). The three key time points analyzed in the Join-point regression model roughly corresponded to the implementation times of traffic laws and regulations in China. The temporal trend in case fatality rate in Shandong Province from 2001 to 2019 was not statistically significant (Z = 2.8, P < 0.1). The mortality rate showed spatial autocorrelation (global Moran's I = 0.3889, Z = 2.2043, P = 0.028) and spatial clustering. No spatial autocorrelation was observed in the case fatality rate (global Moran's I = -0.0183, Z = 0.2308, P = 0.817).

conclusionsThe mortality rate in Shandong Province decreased significantly over the studied period, but the case fatality rate did not decline significantly and remains relatively high. Many factors influence road traffic fatalities, among which laws and regulations are the most important.

Indexed as

SoftwareChinaCluster AnalysisSeasonsSpatial Analysis

Identifiers

PMID37418373
PMCPMC10328351

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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.