Literature DB >> 26176910

Factors associated with single-vehicle and multi-vehicle road traffic collision injuries in Ireland.

Erica Donnelly-Swift1, Alan Kelly1.   

Abstract

Generalised linear regression models were used to identify factors associated with fatal/serious road traffic collision injuries for single- and multi-vehicle collisions. Single-vehicle collisions and multi-vehicle collisions occurring during the hours of darkness or on a wet road surface had reduced likelihood of a fatal/serious injury. Single-vehicle 'driver with passengers' collisions occurring at junctions or on a hill/gradient were less likely to result in a fatal/serious injury. Multi-vehicle rear-end/angle collisions had reduced likelihood of a fatal/serious injury. Single-vehicle 'driver only' collisions and multi-vehicle collisions occurring on a public/bank holiday or on a hill/gradient were more likely to result in a fatal/serious injury. Single-vehicle collisions involving male drivers had increased likelihood of a fatal/serious injury and single-vehicle 'driver with passengers' collisions involving drivers under the age of 25 years also had increased likelihood of a fatal/serious injury. Findings can enlighten decision-makers to circumstances leading to fatal/serious injuries.

Keywords:  Bayesian; binomial regression; logistic regression; multi-vehicle collisions; single-vehicle collisions

Mesh:

Year:  2015        PMID: 26176910     DOI: 10.1080/17457300.2015.1047861

Source DB:  PubMed          Journal:  Int J Inj Contr Saf Promot        ISSN: 1745-7300


  2 in total

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Authors:  Heléne E K Sundelin; Zheng Chang; Henrik Larsson; Paul Lichtenstein; Catarina Almqvist; Torbjörn Tomson; Jonas F Ludvigsson
Journal:  Neurology       Date:  2018-02-28       Impact factor: 9.910

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Journal:  J Urban Health       Date:  2022-03-11       Impact factor: 5.801

  2 in total

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