Childhood injuries from motor vehicle–pedestrian collisions in Wuhan, The People's Republic of China

Sun, Ying; Zhou, Xiangyang; Jia, Cun-Xian; Yan, Cheng; Huang, Maohua; Xiang, Hao

doi:10.1016/j.injury.2005.12.002

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…[18] Our previous study based on inpatient medical records at this medical center reported that the proportion of hospitalizations for injuries caused by motor vehicle-pedestrian collisions almost doubled from 1.6% in 1993 to 3.1% in 2004. [38] Results reported in this current study indicate that the proportion of traffic related TBIs out of all pediatric TBIs increased from 2002 to 2008 but declined each year after 2008. A similar reduction in the number of traffic related deaths after 2008 in China was seen in a study utilizing official police reporting.…”

Section: Discussionmentioning

confidence: 51%

Characteristics and Trends of Pediatric Traumatic Brain Injuries Treated at a Large Pediatric Medical Center in China, 2002–2011

et al. 2012

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BackgroundPediatric traumatic brain injuries (TBIs) have not been well studied in China. This study investigated characteristics and trends of hospitalized TBIs sustained by Chinese children.Methods and FindingsWe analyzed 2002–2011 hospitalized TBI patients (0–17 years of age) treated at a large pediatric medical center in China. TBIs were defined using the International Classification of Diseases, Tenth Revision (ICD-10) codes. We examined age patterns across external causes of TBIs. We reported the trend of traffic-related TBIs for each year from 2002 to 2011. Of 4,230 TBI patients, 67.1% (95% CI: 65.4%–68.8%) were city residents and 28.8% (95% CI: 26.3%–31.3%) came from rural villages. Males had disproportionately more TBIs than females (65.2% vs. 34.8%). Falls, struck by/against objects, and traffic collisions were the top three external causes of TBIs for all age groups. Falls were the leading cause of TBI for all ages but peaked at 2 years of age. There were 125 TBIs in 0–2 year olds (5.9% of all TBIs in this age group) that were caused by suspected child abuse. Suspected child abuse was significantly more likely to occur in 0–1 year olds. The proportion of traffic -related TBIs increased significantly from 12.99% in 2002 to 19.68% in 2008 but dropped each subsequent year until it reached a level of 8.91% in 2011.ConclusionsOur study confirms that falls, struck by/against objects and traffic collisions are the top external causes of TBIs in Chinese children. When compared with national data from the developed countries, gender patterns are similar, but the ranking of external causes is different. This is the first study to highlight the important role of suspected child abuse in causing TBIs in infants in China. TBIs caused by child abuse warrant further research and government attention as a social and medical problem in China.

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Section: Discussionmentioning

confidence: 51%

Characteristics and Trends of Pediatric Traumatic Brain Injuries Treated at a Large Pediatric Medical Center in China, 2002–2011

et al. 2012

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“…Traffic injuries remain a predominant cause of child and adolescent fatalities worldwide, calling for a comprehensive understanding of their varied dynamics and outcomes 1 . Previous studies have underscored the significance of this issue and highlighted the marked disparities in road injury patterns based on geographic location 2,3 .…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact and implications of the revised Act on the Aggravated Punishment of Specific Crimes in preventing child traffic injuries in school zones in Korea: an interrupted time series analysis

Ku,

Kim,

Choe

et al. 2024

Epidemiol Health

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In 2019, a child's death in the Republic of Korea led to legislation that imposed stricter penalties for school zone traffic violations. We assessed the impact of that legislation using 2017-2022 Traffic Accident Analysis System data. Adjusted analyses revealed a significant decline in severe injuries in school zones, decreasing from 11 to 8 cases per month (p=0.017). The legislation correlated with a reduced risk of all child traffic injuries (risk ratio, 0.987, 95% CI, 0.977-0.997; p=0.002), indicating its efficacy in curbing accidents.

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“…Additionally, the analysis of children's injuries is conducted in the literature. The analysis of children injuries is performed using data from China [13] and Norway [14]. Research in [14], for example, found that misuse of the seatbelt is a major contributor of injuries in child passengers.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Fatal and Major Injury of Drivers, Cyclists, and Pedestrians in Collisions

Shanshal

Babaoglu

Başar

2020

PROMET

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Traffic-related deaths and severe injuries may affect every person on the roads, whether driving, cycling or walking. Toronto, the largest city in Canada and the fourth largest in North America, aims to eliminate traffic-related fatalities and serious injuries on city streets. The aim of this study is to build a prediction model using data analytics and machine learning techniques that learn from past patterns, providing additional data-driven decision support for strategic planning. A detailed exploratory analysis is presented, investigating the relationship between the variables and factors affecting collisions in Toronto. A learning-based model is proposed to predict the fatalities and severe injuries in traffic collisions through a comparison of two predictive models: Lasso Regression and Random Forest. Exploratory data analysis results reveal both spatio-temporal and behavioural patterns such as the prevalence of collisions in intersections, in the spring and summer and aggressive driving and inattentive behaviours in drivers. The prediction results show that the best predictor of injury severity for drivers, cyclists and pedestrians is Random Forest with an accuracy of 0.80, 0.89, and 0.80, respectively. The proposed methods demonstrate the effectiveness of machine learning application to traffic and collision data, both for exploratory and predictive analytics.

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Childhood injuries from motor vehicle–pedestrian collisions in Wuhan, The People's Republic of China

Cited by 7 publications

References 27 publications

Characteristics and Trends of Pediatric Traumatic Brain Injuries Treated at a Large Pediatric Medical Center in China, 2002–2011

Characteristics and Trends of Pediatric Traumatic Brain Injuries Treated at a Large Pediatric Medical Center in China, 2002–2011

Assessing the impact and implications of the revised Act on the Aggravated Punishment of Specific Crimes in preventing child traffic injuries in school zones in Korea: an interrupted time series analysis

Prediction of Fatal and Major Injury of Drivers, Cyclists, and Pedestrians in Collisions

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