Classification of road traffic injury collision characteristics using text mining analysis: Implications for road injury prevention.

ABSTRACT: Road traffic injuries are a leading cause of morbidity and mortality globally. Understanding circumstances leading to road traffic injury is crucial to improve road safety, and implement countermeasures to reduce the incidence and severity of road trauma. We aimed to characterise crash characteristics of road traffic collisions in Victoria, Australia, and to examine the relationship between crash characteristics and fault attribution. Data were extracted from the Victorian State Trauma Registry for motor vehicle drivers, motorcyclists, pedal cyclists and pedestrians with a no-fault compensation claim, aged > = 16 years and injured 2010-2016. People with intentional injury, serious head injury, no compensation claim/missing injury event description or who died < = 12-months post-injury were

SUBMITTER: Giummarra MJ 

PROVIDER: S-EPMC7840051 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature