Accidents involving motorcycles and potential years of life lost. An ecological and exploratory study

Vulnerable road-user deaths in Brazil: a Bayesian hierarchical model for spatial-temporal analysis

Reducing the road traffic injuries burden is relevant to many sustainable development goals (SDG), in particular SDG3 - to establish good health and well-being. To describe the spatial-temporal trends and identify hotspot regions for fatal road traffic injuries, a Bayesian hierarchical Poisson model was used to analyze data on vulnerable road users (bicyclist, motorcyclist and pedestrians) in Brazil from 1999 to 2016. During the study period, mortality rates for bicyclists remained almost unchanged (0.6 per 100,000 people) but rose dramatically for motorcyclists (from 1.0 in 1999 to 6.0 per 100,000 people in 2016) and decreased for pedestrians (from 6.3 to 3.0 per 100,000 people). Spatial analyses accounting for socio-economic factors showed that the central and northeastern microregions of Brazil are hotspot areas for fatal injuries among motorcyclists while the southern areas are for pedestrians.

Epidemiological Survey on Traffic Accident Mortality Referred to the Forensic Medical Center of Chaharmahal and Bakhtiari Province During 2005-2016

Background and aims: The World Health Organization has listed Iran as the country with the highest number of driving accidents worldwide. Chaharmahal and Bakhtiari is among the top ten provinces in Iran. The aim of this study was to carry out an epidemiological survey on driving accidents resulting in deaths that were referred to the Forensic Medical Center. Methods: In this cross-sectional study, the data were obtained from the Forensic Medical Center in Shahrekord, the provincial capital, during 2005-2016. Data were analyzed using descriptive statistics and the chi-square test by SPSS. Results: The number of registered accidents causing death was 3001. The highest number of accidents (13.5%) occurred from August 23rd to September 22nd, which equates to the last months of the summer according to the solar calendar. Location wise, the highest number of accidents happened in Shahrekord (58.2%). In addition, men and married people were more involved in accidents compared to women and singles. The age group of 21-25 had the most number of accidents. Further, the main road had the highest percentage of accidents (86.7%) compared to freeways, by-ways, and rural roads. Finally, head trauma 1634 (60.7%) was the most important cause of death in people who were in car accidents. Conclusion: Based on these results, policymakers and planners have to carry out necessary positive interferences and plans in order to reduce the number of factors which increase car accidents. Eventually, accidents are usually caused by multiple elements and this makes it necessary to review and optimize the operational output of responsible organizations and offices and the cooperation between them.