Global road traffic injury statistics: Challenges, mechanisms and solutions

被引:34
|
作者
Chang, Fang-Rong [1 ,2 ]
Huang, He-Lai [1 ]
Schwebel, David C. [3 ]
Chan, Alan H. S. [2 ]
Hu, Guo-Qing [4 ]
机构
[1] Cent South Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China
[2] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China
[3] Univ Alabama Birmingham, Coll Arts & Sci, Dept Psychol, Birmingham, AL USA
[4] Cent South Univ, Xiangya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Changsha 410078, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic injury data; Reported problems; Mechanisms behind the data;
D O I
10.1016/j.cjtee.2020.06.001
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
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. (C) 2020 Chinese Medical Association. Production and hosting by Elsevier B.V.
引用
收藏
页码:216 / 218
页数:3
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