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对埃塞俄比亚南部古拉格地区每辆车碰撞事故受伤频率进行建模。

Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia.

机构信息

Department of Statistics, College of Natural and Computational Sciences, Wolkite University, Ethiopia.

出版信息

Ethiop J Health Sci. 2021 Jan;31(1):101-110. doi: 10.4314/ejhs.v31i1.12.

DOI:10.4314/ejhs.v31i1.12
PMID:34158757
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8188113/
Abstract

BACKGROUND

Traffic accident is the most serious problem in developing countries like Ethiopia, which is among the leading cause of death with the highest increasing rate from year to year in Ethiopia. This research aimed to identify the associated factors on the frequency of injuries per vehicle crash in Gurage zone.

METHODS

A retrospective study was conducted to identify the contributing factors of a number of injuries per accident. The data were collected from all traffic control and investigation office of 13 Woredas (Districts) for the past five consecutive years from 2013 to 2017. Negative Binomial Regression model was employed to identify the associated factors that affect the number of injuries per accident.

RESULTS

A total of 334 accidents recorded in the last five years from 2013 to 2017 in Gurage zone. Two hundred eight three (84.73%) of the accidents were caused 610 number of injuries. The significantly associated factors of frequency of injuries per road traffic accidents were Drivers' Age (IR: 0.9813; CI: 0.9664 - 0.9962), Drivers' Sex: Female (IR : 1.6386; CI : 1.2176 - 2.0596), Drivers' vehicles ownership: Hired (IR: 1.4216; CI: 1.1697 - 1.6735) and non-drivers' related variables, like weather condition: Rainy (IR: 1.6041; CI: 1.2552 - 1.9529), road shape: street-square (IR: 1.7421 ; CI: 1.1908 - 2.2934) and vehicle type: Isuzu (load)(IR: 1.6845; CI : 1.2592 - 2.1098) Minibus (IR: 2.7253; CI 2.3129 - 3.1377).

CONCLUSIONS

This study found that, Driver's related factors: Driver's Age, Sex, Drivers' vehicle ownership, and non-drivers' related variables: Weather condition, Road shape, and Vehicle type were identified as significantly associated factors on the frequency of injuries per vehicle crash in Gurage Zone.

摘要

背景

交通事故是埃塞俄比亚等发展中国家最严重的问题,交通事故造成的死亡人数在埃塞俄比亚呈逐年上升趋势,是导致死亡的主要原因之一。本研究旨在确定古勒古扎地区每起车辆碰撞事故受伤频率的相关因素。

方法

本回顾性研究旨在确定导致事故中受伤人数的因素。数据来自 2013 年至 2017 年连续五年的交通管制和调查办公室的 13 个区(Woredas)。采用负二项回归模型确定影响每起事故受伤人数的相关因素。

结果

古勒古扎地区在过去五年中(2013 年至 2017 年)共记录了 334 起事故。其中 283 起(84.73%)事故造成 610 人受伤。与道路交通每起事故受伤频率显著相关的因素包括驾驶员年龄(IR:0.9813;CI:0.9664-0.9962)、驾驶员性别:女性(IR:1.6386;CI:1.2176-2.0596)、驾驶员车辆所有权:租赁(IR:1.4216;CI:1.1697-1.6735)和非驾驶员相关变量,如天气条件:雨天(IR:1.6041;CI:1.2552-1.9529)、道路形状:街道广场(IR:1.7421;CI:1.1908-2.2934)和车辆类型:五十铃(载货)(IR:1.6845;CI:1.2592-2.1098)和小型巴士(IR:2.7253;CI:2.3129-3.1377)。

结论

本研究发现,驾驶员相关因素:驾驶员年龄、性别、驾驶员车辆所有权,以及非驾驶员相关变量:天气条件、道路形状和车辆类型,是古勒古扎地区每起车辆碰撞事故受伤频率的显著相关因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/62721d04d1c7/EJHS3101-0101Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/a0b0b5a3bbaa/EJHS3101-0101Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/f70fcc1e33cd/EJHS3101-0101Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/62721d04d1c7/EJHS3101-0101Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/a0b0b5a3bbaa/EJHS3101-0101Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/f70fcc1e33cd/EJHS3101-0101Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d724/8188113/62721d04d1c7/EJHS3101-0101Fig3.jpg

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