Fang-Rong Chang,He-Lai Huang,David C. Schwebel,Alan H.S. Chan,Guo-Qing Hu.[J].Chin J Traumatol,2020,23(4):216-218. [doi]
Global road traffic injury statistics: Challenges, mechanisms and solutions
  
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KeyWord: Traffic injury dataReported problemsMechanisms behind the data
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Author NameAffiliation
Fang-Rong Chang 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 
He-Lai Huang School of Traffic &Transportation Engineering, Central South University, Changsha, China 
David C. Schwebel Department of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA 
Alan H.S. Chan Department of System Engineering and Engineering Management, The City University of Hong Kong, Hong Kong, China 
Guo-Qing Hu 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.
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