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Global road traffic injury statistics: Challenges, mechanisms and solutions

  • Fang Rong Chang
  • , He Lai Huang
  • , David C. Schwebel
  • , Alan H.S. Chan
  • , Guo Qing Hu*
  • *Corresponding author for this work
  • School of Traffic & Transportation Engineering
  • City University of Hong Kong
  • University of Alabama at Birmingham
  • Xiangya School of Public Health

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)216-218
Number of pages3
JournalChinese Journal of Traumatology - English Edition
Volume23
Issue number4
DOIs
StatePublished - Aug 2020
Externally publishedYes

Keywords

  • Mechanisms behind the data
  • Reported problems
  • Traffic injury data

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