Trends in transport injuries burden and risk factors among children under 14 years old in China: 1990–2019

Future efforts must prioritize raising awareness among children and their guardians to mitigate the disease burden of TI in children. It's critical to enhance preventive interventions for boys, children aged 0-4 and vulnerable road users such as pedestrians and cyclists in future.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2024-08-21
DOI
https://doi.org/10.1186/s12889-024-19755-5
Citations
3
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends in transport injuries burden and risk factors among children under 14 years old in China: 1990–2019

Liping Li, Kele Ding, Yueliang Chen, Feng Wu
3 citations
BMC Public Health
Traffic and Road Safety
1.09
article

Trends in transport injuries burden and risk factors among children under 14 years old in China: 1990–2019

Liping Li, Kele Ding, Yueliang Chen, Feng Wu
article en
3 citations

Abstract

Future efforts must prioritize raising awareness among children and their guardians to mitigate the disease burden of TI in children. It's critical to enhance preventive interventions for boys, children aged 0-4 and vulnerable road users such as pedestrians and cyclists in future.

BMC Public HealthVol. 24(1)
University of the West of England (GB), The Ohio State University Wexner Medical Center (US), Shantou University (CN), Shantou University Medical College (CN)
Openalex Percentile: Top 24%
Traffic and Road Safety
1.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.