Road traffic injury incidence and crash characteristics in Dar es Salaam: A population based study

ObjectivesThe aim was to study mortality due to suicide, accidental poisoning, event of undetermined intent and drug-related deaths through 20 years in Iceland.DesignA population-based register study.ParticipantsIndividuals who died due to road traffic injury, suicide, accidental poisoning, event of undetermined intent and drug-related deaths in the population of Iceland during the years 1996–2015. Annual age-standardised rates were calculated, and the trend analysed by Pearson correlation and joinpoint regression.SettingThe population of Iceland framed the study material, and the data were obtained from nationwide registries for information on number of deaths and age-specific mean population in each year by gender.ResultsThe crude overall suicide rate during the last 10 years was 12.2 per 100 000 persons per year (95% CI 7.4 to 18.1), while the crude overall rate due to road traffic injuries was 4.6 per 100 000 persons per year (95% CI 2.0 to 8.3). Among men, suicide rates decreased, however not significantly (r(19)=−0.22, p=0.36), and for overdose by narcotics the rates increased significantly (r(19)=0.72, p<0.001) during the study period. Among women, the suicide rates increased, however not significantly (r(19)=0.35, p=0.13), for accidental poisoning, suicide and event of undetermined intent combined the rates increased significantly (r(19)=0.60, p=0.006); and the rates for overdose by sedative and overdose by narcotics both increased significantly r(19)=0.49, p=0.03, and r(19)=0.67, p=0.001, respectively.ConclusionThe suicide rates have not changed during 1996 to 2015; however, the rates for the combined accidental poisoning, suicide and event of undetermined intent increased significantly for women. The rise of the overdose rates for sedative among women and for narcotics among both genders are consistent with reports elsewhere.

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

PLoS ONE ◽

10.1371/journal.pone.0245636 ◽

2021 ◽

Vol 16 (1) ◽

pp. e0245636

Author(s):

Melita J. Giummarra ◽

Ben Beck ◽

Belinda J. Gabbe

Keyword(s):

Text Mining ◽

Road Safety ◽

Motor Vehicle ◽

Road Traffic ◽

Road Traffic Injury ◽

Road Traffic Injuries ◽

Traffic Injury ◽

Compensation Claim ◽

Injury Event ◽

Crash Characteristics

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 excluded, resulting in a sample of 2,486. Text mining of the injury event using QDA Miner and Wordstat was used to classify crash circumstances for each road user group. Crashes in which no other was at fault included circumstances involving lost control or avoiding a hazard, mechanical failure or medical conditions. Collisions in which another was predominantly at fault occurred at intersections with another vehicle entering from an adjacent direction, and head-on collisions. Crashes with higher prevalence of unknown fault included multi-vehicle collisions, pedal cyclists injured in rear-end collisions, and pedestrians hit while crossing the road or navigating slow traffic areas. We discuss several methods to promote road safety and to reduce the incidence and severity of road traffic injuries. Our recommendations take into consideration the incidence and impact of road trauma for different types of road users, and include engineering and infrastructure controls through to interventions targeting or accommodating human behaviour.

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