Title of article :
Temporal Patterns of Road Traffic Injuries in Iran
Author/Authors :
Khorshidi، Ali نويسنده Department of Epidemiology, Shahid Beheshti University of Medical Science, Tehran, Iran , , Ainy، Elaheh نويسنده Safety Promotion and Injury Prevention Research Center,
Shahid Beheshti University of Medical Sciences, Tehran, IR
Iran , , Hashemi Nazari، Seyed Saeed نويسنده Department of Epidemiology and Biostatistics School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , , Soori، Hamid نويسنده School of Public Health, Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2016
Abstract :
Road traffic injuries (RTIs) are the main causes of death and
disability in Iran. However, very few studies about the temporal
variations of RTIs have been published to date. This study was conducted
to investigate the temporal pattern of RTIs in Iran in 2012. All road
traffic accidents (RTAs) reported to traffic police during a one-year
period (March 21, 2012 through March 21, 2013) were investigated after
obtaining permission from the law enforcement force of the Islamic
Republic of Iran. Distributions of RTAs were obtained for season, month,
week, and hour scales, and for long holidays (more than one day) and the
day prior to long holidays (DPLH). The final analysis was carried out
using the Poisson regression model to calculate incidence rate ratios
for RTIs. All analyses were conducted using STATA 13.1 and Excel
software; statistical significance was set at P < 0.05. A total
of 452,192 RTAs were examined. The estimated rate of all accidents was
219 per 10,000 registered vehicles, or 595 per 100,000 people. About 28%
of all RTAs, and more than one third of fatal RTAs, occurred during the
summer months. The incidence rate for all traffic accidents on DPLH was
1.20, compared to workdays as a reference category, and it was 1.40 for
fatal crashes. The rate of fatal road traffic accidents in outer cities
was 3.2 times higher than in inner ones. Our findings reveal that there
are temporal variations in traffic accidents, and long holidays
significantly influence accident rates. Traffic injuries have different
patterns on outer/inner city roads, based on weekday and holiday status.
Thus, these findings could be used to create effective initiatives aimed
at traffic management.
Journal title :
Archives of Trauma Research
Journal title :
Archives of Trauma Research