123 / 2019-11-04 18:03:18
Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in north-eastern Iran 2015-2019
Spatial Analysis,Geographical Information System,Paediatric,Pedestrian Accident,Road Traffic Injuries,Iran
全文录用
Hamidreza Shabanikiya / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Soheil Hashtarkhani / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Behzad Kiani / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Robert Bergquist / Ingerod, Brastad, Sweden (formerly Special Programme for Research and Training in Tropical Diseases, World Health Organization, Geneva, Switzerland)
Nasser Bagheri / Center for Mental Health Research, College of Health and Medicine, Australian National University, Canberra, ACT, Australia
Reza VafaeiNejad / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Malihe Amiri-Gholanlou / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Toktam Akbari / Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Introduction:
Paediatric, pedestrian road traffic injuries (PPRTIs) constitute a major cause of premature death in Iran. Environmental factors play a significant role in PPRTI events. Identification of high-risk areas and quantifying environmental risk factors would be the primary step in designing policy intervention for PPRTI reduction.
Methods:
This cross-sectional retrospective study was conducted on all pedestrian accidents of children (less than 18 years of age) with motor vehicles between March 2015 and March 2019 in city of Mashhad, which is the second most populous city in Iran. The Anselin Local Moran’s I statistic and Getis-Ord Gi* were performed to measure spatial autocorrelation and hot spots of PPRTIs at the geographical grid network and administrative neighbourhood level. Furthermore, a spatial buffer analysis was used to classify the streets according to their PPRTI rate.
Results:
A total of 7,390 PPRTIs (2,364 females and 4,974 males) were found during the study period. The children's mean age was 9.7±5.1 years. Out of the total PPRTIs, 43% occurred on or at the fringes streets, 25 of which were labelled high-risk streets. A high-high (HH) cluster of PPRTI was discovered in the eastern part of the city, while, in the West there was a low-low (LL) such cluster. Additionally, in the western part of the city, older children were more likely to become injured, while in the north-eastern and south-eastern part, younger children were more often victims.
Conclusions:
Spatial analysis of PPRTIs in an urban area at three different geographical scales, including grid network, neighbourhood level and street levels, contributes reliable documentation that would help policy-makers implement and prioritize different preventive strategies such as improvement of the high-risk streets and neighbourhoods of the city for decreasing the number of PPRTIs.
重要日期
  • 会议日期

    12月20日

    2019

    12月22日

    2019

  • 11月15日 2019

    初稿录用通知日期

  • 12月22日 2019

    初稿截稿日期

  • 12月22日 2019

    注册截止日期

承办单位
湘雅公共卫生学院
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询