Global road traffic injury statistics: Challenges, mechanisms and solutions

Fang-Rong Chang ¹He-Lai Huang ²David C.Schwebel ³Alan H.S.Chan ⁴Guo-Qing Hu⁵

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作者信息

1. 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
2. School of Traffic &Transportation Engineering Central South University, Changsha, China
3. Department of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
4. Department of System Engineering and Engineering Management, The City University of Hong Kong, Hong Kong, China
5. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
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Abstract

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.

Key words

Traffic injury data/Reported problems/Mechanisms behind the data

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基金项目

This work was jointly supported by the Joint Research Scheme of National Natural Science Foundation of China/Research Grants Cou(Project 71561167001 & N_HKU707/15)

Natural Science Foundation of China(81573260)

Natural Science Foundation of China(713711921)

and the Hunan Provincial Innovation Foundation for Postgraduate(Grant CX2018B067)

出版年

2020

中华创伤杂志(英文版)

中华医学会

中华创伤杂志(英文版)

CSTPCDCSCD

影响因子：0.608

ISSN：1008-1275

被引量2

参考文献量15

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