Global road traffic injury statistics:Challenges,mechanisms and solutions

作     者：Fang-Rong Chang He-Lai Huang David CSchwebel Alan HSChan Guo-Qing Hu Chang Fang-Rong;Huang He-Lai;Schwebel David C.;Chan Alan H.S.;Hu Guo-Qing

作者机构：School of Traffic&Transportation Engineering Central South UniversityChangshaChina Department of System Engineering and Engineering ManagementThe City University of Hong KongHong KongChina Department of PsychologyCollege of Arts and SciencesUniversity of Alabama at BirminghamBirminghamALUSA Department of Epidemiology and Health StatisticsXiangya School of Public HealthCentral South UniversityChangsha410078China 

出 版 物：《Chinese Journal of Traumatology》 (中华创伤杂志（英文版）)

年 卷 期：2020年第23卷第4期

页      面：216-218页

核心收录：

学科分类：0403[教育学-体育学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 100402[医学-劳动卫生与环境卫生学] 10[医学] 

基　　金：the Joint Research Scheme of National Natural Science Foundation of China/Research Grants Council of Hong Kong(Project No.71561167001&N_HKU707/15) the Natural Science Foundation of China(No.81573260 and No.713711921) the Hunan Provincial Innovation Foundation for Postgraduate(Grant No.CX2018B067) 

主　　题：Traffic injury data Reported problems Mechanisms behind the data 

摘      要：High-quality data are the foundation to monitor the progress and evaluate the effects of road traffic injury prevention ***,official road traffic injury statistics delivered by governments worldwide,are often believed somewhat unreliable and *** summarized the reported problems concerning the road traffic injury statistics through systematically searching and reviewing the *** problems include absence of regular data,under-reporting,low specificity,distorted cause spectrum of road traffic injury,inconsistency,inaccessibility,and delay of data *** also explored the mechanisms behind the problematic data and proposed the solutions to the addressed challenges for road traffic statistics.