全球道路交通伤害统计：挑战、机制与解决方案。
Global road traffic injury statistics: Challenges, mechanisms and solutions.
作者信息
Chang Fang-Rong, Huang He-Lai, Schwebel David C, Chan Alan H S, Hu Guo-Qing
机构信息
School of Traffic &Transportation Engineering, Central South University, Changsha, China; Department of System Engineering and Engineering Management, The City University of Hong Kong, Hong Kong, China.
School of Traffic &Transportation Engineering, Central South University, Changsha, China.
出版信息
Chin J Traumatol. 2020 Aug;23(4):216-218. doi: 10.1016/j.cjtee.2020.06.001. Epub 2020 Jun 19.
High-quality data are the foundation to monitor the progress and evaluate the effects of road traffic injury prevention measures. Unfortunately, official road traffic injury statistics delivered by governments worldwide, are often believed somewhat unreliable and invalid. We summarized the reported problems concerning the road traffic injury statistics through systematically searching and reviewing the literature. The problems include absence of regular data, under-reporting, low specificity, distorted cause spectrum of road traffic injury, inconsistency, inaccessibility, and delay of data release. We also explored the mechanisms behind the problematic data and proposed the solutions to the addressed challenges for road traffic statistics.
高质量数据是监测道路交通伤害预防措施进展和评估其效果的基础。不幸的是，全世界各国政府提供的官方道路交通伤害统计数据，往往被认为有些不可靠且无效。我们通过系统检索和回顾文献，总结了已报道的道路交通伤害统计数据存在的问题。这些问题包括缺乏定期数据、报告不足、特异性低、道路交通伤害原因谱扭曲、不一致、获取困难以及数据发布延迟。我们还探究了有问题数据背后的机制，并针对道路交通统计面临的挑战提出了解决方案。
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