ArticleBMC emergency medicine2022
Analysis of injuries and deaths from road traffic accidents in Iran: bivariate regression approach.
Article in BMC emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Exploring non-compliance with traffic laws and its role in road crashes in Yazd: a qualitative content analysis.BMC research notes · 2026Article
- Road Traffic Injury Characteristics, Severity, and Management Outcome among Victims Treated at the Emergency Department of Jimma Medical Center, Jimma, Ethiopia, 2024.Ethiopian journal of health sciences · 2025Article
- 30-day survival and injury severity in traffic accidents in Iran: A mixed-method study protocol.PloS one · 2025Article
- Article
- Nonlinear effects of traffic statuses and road geometries on highway traffic accident severity: A machine learning approach.PloS one · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundsThis study aims to estimate and compare the parameters of some univariate and bivariate count models to identify the factors affecting the number of mortality and the number of injured in road accidents.
methodsThe accident data used in this study are related to Kermanshah province in march2020 to march2021. Accidents areas were divided into 125 areas based on density characteristics. In a one-year period, 3090 accidents happened on the suburban roads of Kermanshah province, which resulted in 398 deaths and 4805 injuries. Accident information, including longitude and latitude of accident location, type of accident (fatal and injury), number of deaths, number of injuries, accident type, the reason of the accident, and the kind of accident were all included as population-level variables in the regression models. We investigated four frequently used bivariate count regression models for accident data in the literature.
resultsIn bivariate analysis, except for the DNM model, there is a reasonable decrease in the AIC measures of the saturated model compared to the reduced model for the other three models. For the injury models, MSE is lowest, respectively for DIBP (137.87), BNB (289.46), BP (412.36) and DNM (3640.89) models. These results are also established for death models. But, in univariate analysis, only injury models almost present reasonable results.
conclusionsOur findings show that the IDBP model is better suitable for evaluating accident datasets than other models. Motorcycle accidents, pedestrian accidents, left turn deviance, and dangerous speeding were all significant variables in the IDBP death model, and these parameters were linked to accident mortality.
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