Cargando…

Global road traffic injury statistics: Challenges, mechanisms and solutions

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Fang-Rong, Huang, He-Lai, Schwebel, David C., Chan, Alan H.S., Hu, Guo-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451583/
https://www.ncbi.nlm.nih.gov/pubmed/32680705
http://dx.doi.org/10.1016/j.cjtee.2020.06.001
_version_ 1783575008335888384
author Chang, Fang-Rong
Huang, He-Lai
Schwebel, David C.
Chan, Alan H.S.
Hu, Guo-Qing
author_facet Chang, Fang-Rong
Huang, He-Lai
Schwebel, David C.
Chan, Alan H.S.
Hu, Guo-Qing
author_sort Chang, Fang-Rong
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7451583
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-74515832020-08-31 Global road traffic injury statistics: Challenges, mechanisms and solutions Chang, Fang-Rong Huang, He-Lai Schwebel, David C. Chan, Alan H.S. Hu, Guo-Qing Chin J Traumatol Serial Report on Traffic Medicine 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. Elsevier 2020-08 2020-06-19 /pmc/articles/PMC7451583/ /pubmed/32680705 http://dx.doi.org/10.1016/j.cjtee.2020.06.001 Text en © 2020 Chinese Medical Association. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Serial Report on Traffic Medicine
Chang, Fang-Rong
Huang, He-Lai
Schwebel, David C.
Chan, Alan H.S.
Hu, Guo-Qing
Global road traffic injury statistics: Challenges, mechanisms and solutions
title Global road traffic injury statistics: Challenges, mechanisms and solutions
title_full Global road traffic injury statistics: Challenges, mechanisms and solutions
title_fullStr Global road traffic injury statistics: Challenges, mechanisms and solutions
title_full_unstemmed Global road traffic injury statistics: Challenges, mechanisms and solutions
title_short Global road traffic injury statistics: Challenges, mechanisms and solutions
title_sort global road traffic injury statistics: challenges, mechanisms and solutions
topic Serial Report on Traffic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451583/
https://www.ncbi.nlm.nih.gov/pubmed/32680705
http://dx.doi.org/10.1016/j.cjtee.2020.06.001
work_keys_str_mv AT changfangrong globalroadtrafficinjurystatisticschallengesmechanismsandsolutions
AT huanghelai globalroadtrafficinjurystatisticschallengesmechanismsandsolutions
AT schwebeldavidc globalroadtrafficinjurystatisticschallengesmechanismsandsolutions
AT chanalanhs globalroadtrafficinjurystatisticschallengesmechanismsandsolutions
AT huguoqing globalroadtrafficinjurystatisticschallengesmechanismsandsolutions