Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, China and Hong Kong Polytechnic University.
Department of Disaster Public Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; T. H. Chan Harvard School of Public Health, Cambridge, USA.
J Inj Violence Res. 2021 Jan;13(1):13-22. doi: 10.5249/jivr.v13i1.1347. Epub 2020 Sep 29.
Road traffic injuries (RTIs) pose a disproportionate public health burden in the low and middle-income countries (LMICs) like Uganda, with 85% of all the fatalities and 90% of all disability-adjusted life years lost reported worldwide. Of all RTIs which are recorded in Uganda, 50% of cases happen in Kampala -the capital city of Uganda and the nearby cities. Identifying the RTI prone-areas and their associated risk factors can help to inform road safety and prevention measures aimed at reducing RTIs, particularly in emerging cities such as Kampala.
This study was based on a retrospective cross-sectional design to analyze a five year (2011 - 2015) traffic crash data of the Uganda Police Force.
Accordingly, 60 RTI prone-areas were identified to exist across the Kampala. They were ranked as low and high risk areas; 41 and 19, respectively and with the majority of the latter based in the main city center. The bivariate analysis showed a significant association between identified prone-areas and population flow (OR: 4.89, P-value: 0.01) and traffic flow time (OR: 9.06, P-value: 0.01). On the other hand, the multivariate regression analysis only showed traffic flow time as the significant predictor (OR: 6.27, P-value: 0.02) at identified RTI prone-areas.
The measures devised to mitigate RTI in an emerging city like Kampala should study thoroughly the patterns of traffic and population flow to help to optimize the use of available resources for effective road safety planning, injury prevention and sustainable transport systems.
道路交通伤害(RTI)在像乌干达这样的中低收入国家(LMICs)造成了不成比例的公共卫生负担,全世界报告的所有死亡人数中有 85%,所有失能调整生命年(DALY)损失中有 90%。在乌干达记录的所有 RTI 中,有 50%发生在首都坎帕拉和附近城市。确定 RTI 易发生地区及其相关风险因素可以帮助为旨在减少 RTI 的道路安全和预防措施提供信息,特别是在像坎帕拉这样的新兴城市。
本研究基于回顾性横断面设计,分析了乌干达警察部队五年(2011-2015 年)的交通碰撞数据。
相应地,确定了 60 个存在于坎帕拉的 RTI 易发生地区。它们被分为低风险和高风险地区;分别为 41 个和 19 个,后者主要集中在市中心。双变量分析显示,确定的易发生地区与人口流动(OR:4.89,P 值:0.01)和交通流量时间(OR:9.06,P 值:0.01)之间存在显著关联。另一方面,多元回归分析仅显示交通流量时间是识别 RTI 易发生地区的显著预测因素(OR:6.27,P 值:0.02)。
为减轻像坎帕拉这样的新兴城市的 RTI 而制定的措施应深入研究交通和人口流动模式,以帮助优化现有资源的利用,实现有效的道路安全规划、伤害预防和可持续交通系统。