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The Analysis of Deaths Caused By Driving Accidents in Ilam Province And the Related Factors By Using the Method of Time Series in the Years 2010 to 2014

机译:应用时间序列方法对2010年至2014年伊拉姆省交通事故致死人数及相关因素进行分析

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Traffic accidents are one of the most important challenges of public hygiene that needs global attention and effort. The recent research was conducted in order to determine the crash trend and develop the accident prediction model that leads to death in Ilam from 2010 to 2014. The recent study based on Descriptive analysis was performed by using the statistical data related to death caused by driving accidents in Ilam during 2010 to 2014. In order to determine the related factors to accidental death during the years of interest, the time series was used and the ARIMA model was utilized for analyzing the time series. The data were analyzed by STATA 11.During the five years of study in this research, 21.3% of the dead people are female while the 78.7% are male from the aspect of gender. The results of time series model showed that among all considered variables there is a significant relationship between the type of passage way, the situation of a deceased person by car accident, accident type, and vehicle type, with.fatal accidents (P<0.05).Since the persons who have died in traffic accidents are mostly men in young ages, so organizing and policy making is considered as a health priority in preventing the accidents and injuries. It is also a key tool for safety improvement in the country.
机译:交通事故是公共卫生最重要的挑战之一,需要全球的关注和努力。为了确定碰撞趋势并开发导致2010年至2014年伊拉姆死亡的事故预测模型,进行了最新研究。基于描述性分析的最新研究是使用与驾驶事故造成的死亡相关的统计数据进行的于2010年至2014年期间在Ilam进行了研究。为了确定在相关年份中意外死亡的相关因素,使用了时间序列,并使用ARIMA模型来分析时间序列。数据由STATA 11进行了分析。在该研究的五年期间,从性别的角度来看,死者中有21.3%是女性,而78.7%是男性。时间序列模型的结果表明,在所有考虑的变量中,过路类型,死于车祸的人的状况,事故类型和车辆类型与致命事故之间存在显着关系(P <0.05) 。由于在交通事故中丧生的人大多是年轻人,因此,组织和制定政策被认为是预防事故和伤害的健康优先事项。它也是该国改善安全的关键工具。

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