ArticleBMC public health2020
Social, economic, and legislative factors and global road traffic fatalities.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Does road safety cointegrate with socio-economic conditions in rich developing countries?PloS one · 2026Article
- Road traffic accidents and its determinants among Kenyan households: analysis of the 2022 national health survey using multilevel modeling.BMC public health · 2025Article
- Epidemiological Characteristics of Road Accident Mortality and Identification of Hot Spots: Years of Life Lost in Fars Province, Iran.Iranian journal of public health · 2025Article
- Assessing public trust in road traffic injuries prevention policies in Iran: a cross-sectional study.BMC public health · 2024Article
- The Global Road Traffic Death Rate and Human Development Index from 2000 to 2019: A Trend Analysis.Archives of Iranian medicine · 2024Article
- Quality of life of survivors following road traffic orthopaedic injuries in Rwanda.Frontiers in public health · 2024Article
- Temporal and spatial trends in road traffic fatalities from 2001 to 2019 in Shandong Province, China.PloS one · 2023Article
- Analysis of the regional distribution of road traffic mortality and associated factors in Japan.Injury epidemiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRoad traffic fatalities (RTF) is the 8th cause of mortality around the world. At the end of the Decade of Action, it would be of utmost importance to revisit our knowledge on the determinants of RTF. The aim of this study is to assess factors related to RTF at global level.
methodsWe used road safety development index which accounts for the interactions between system, human and products to assess the RTF in 115 and 113 countries in 2013 and 2016, respectively. To analyze data, three statistical procedures (linear regression, classification and regression trees, and multivariate adaptive regression splines) were employed.
resultsClassification and regression trees has the best performance amongst all others followed by multivariate adaptive regression splines for 2013 and 2016 data set with an R
conclusionPolicymakers should consider road collisions as a socio-economic issue. In this regard, they can make provisions to reduce RTF in the long run by focusing on enhancing the three components of human development index, mainly education. However, there is a need to investigate the causation pathway among these three components with RTF with different time-trend procedures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.