Citation

Zangeneh A, Najafi F, Karimi S, Saeidi S, Izadi N. J. Forensic Leg. Med. 2018; 55: 15-22.

Affiliation

Department of Epidemiology, Student Research Committee, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: neda.izady@yahoo.com.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.jflm.2018.02.009

PMID

29453168

Abstract

INTRODUCTION: Road traffic injuries (RTIs) are considered as one of the most important health problems endangering people's life. The examination of the geographical distribution of RTIs could help policymakers in better planning to reduce RTIs. This study, therefore, aimed to determine the spatial-temporal clustering of mortality from RTIs in West of Iran.

METHODS: Deaths from RTIs, registered in Forensic Medicine Organization of Kermanshah province over a period of six years (2009-2014), were used. Using negative binomial regression, the mortality trend was investigated. In order to investigate the spatial distribution of RTIs, we used ArcGIS. (Version 10.3).

RESULTS: The median age of the 3231 people died in RTIs was 37 (IQR = 31) year, 78.4% were male. The 6-year average mortality rate from RTIs was 27.8/100,000 deaths, and the average rate had a declining trend. The dispersion of RTIs showed that most deaths occurred in Kermanshah, Islamabad, Bisotun, and Harsin road axes, respectively. The mean center of all deaths from RTIs occurred in Kermanshah province, the central area of Kermanshah district. The spatial trend of such deaths has moved to the northeast-southwest, and such deaths were geographically centralized.

RESULTS of Moran's I with respect to cluster analysis also indicated positive spatial autocorrelations.

CONCLUSION: The results showed that the mortality rate from RTIs, despite the decline in recent years, is still high when compared with other countries. The clustering of accidents raises the concern that road infrastructure in certain locations may also be a factor. Regarding the results related to the temporal analysis, it is suggested that the enforcement of traffic rules be stricter at rush hours.

Copyright © 2018 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Language: en

Keywords

Geographic information systems; Mortality; Road traffic injuries; Spatial-temporal clustering