Vanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, USA.
School of Medicine, Vanderbilt University, Nashville, Tennessee, USA.
Inj Prev. 2017 Oct;23(5):303-308. doi: 10.1136/injuryprev-2016-042119. Epub 2016 Nov 8.
To describe the epidemiology of Guyana's road traffic injuries and perform the first geocoding of road traffic injuries in this setting.
This was a registry-based retrospective cross-sectional study investigating collisions resulting in serious and fatal injuries. Police reports from two police divisions were used to identify victim, second party (ie, non-victim) and collision characteristics of all serious and fatal collisions between January 2012 and June 2015. Collisions with available location data were geocoded using Geographic Information Systems. Distributions of characteristics were compared for urban and rural areas. Multivariable logistic regression was used to assess variables associated with fatal collisions.
The study included 751 collisions, resulting in 1002 seriously or fatally injured victims. Fatally injured victims tended to be older, male and either pedestrians or cyclists. Fatal collisions tended to take place in rural areas, occur on weekends and involve speeding. Fifty-three per cent of fatalities occurred due to non-motorised road users being struck by motorised road users, and the most common fatal collision type was between pedestrians and motor vehicles (35%). The distribution of collisions was similar for urban (43.8%) and rural (56.2%) areas. Fatal collisions were more likely to occur in rural settings.
Road traffic injuries pose a considerable public health burden in Guyana. These results suggest a pattern of high mortality in rural collisions and a disproportionate burden of injuries on vulnerable road users. The spatial distribution of collisions should be considered in order to target interventions and improve road traffic safety.
描述圭亚那道路交通伤害的流行病学特征,并对该地区的道路交通伤害进行首次地理编码。
这是一项基于登记的回顾性横断面研究,调查了导致严重和致命伤害的碰撞事件。利用来自两个警区的警方报告,确定了 2012 年 1 月至 2015 年 6 月期间所有严重和致命碰撞事件中受害者、第二方(即非受害者)和碰撞特征。使用地理信息系统对具有可用位置数据的碰撞进行地理编码。比较城乡地区特征的分布。多变量逻辑回归用于评估与致命碰撞相关的变量。
本研究共纳入 751 起碰撞事件,导致 1002 名严重或致命受伤的受害者。致命受伤的受害者往往年龄较大、男性,且多为行人或骑自行车者。致命碰撞往往发生在农村地区,多发生在周末,且涉及超速行驶。53%的死亡是由于非机动道路使用者被机动道路使用者撞击造成的,最常见的致命碰撞类型是行人与机动车辆(35%)之间的碰撞。城乡地区(43.8%和 56.2%)的碰撞分布相似。致命碰撞更可能发生在农村地区。
道路交通伤害在圭亚那造成了相当大的公共卫生负担。这些结果表明,农村地区的死亡率较高,弱势道路使用者的受伤负担不成比例。应考虑碰撞的空间分布,以便有针对性地开展干预措施,提高道路交通安全。