Pattern and nature of Neyshabur train explosion blast injuries

World J Emerg Surg. 2018 Jan 19:13:3. doi: 10.1186/s13017-018-0164-7. eCollection 2018.

Abstract

Background: Explosions are classified as both man-made and complex accidents. Explosive events can cause serious damage to people, property, and the environment. This study aimed to investigate the pattern and nature of damage incurred to the victims of the Neyshabur Train Explosion.

Methods: The current study is a descriptive cross-sectional study that was retrospectively performed on 99 individuals using census method and documents victims hospitalized due to the Neyshabur train disaster (February 2004) in 2016. In this study, different variables such as age, sex, type of injury, treatment, etc. were examined using a questionnaire and were analyzed using SPSS16.

Results: The results showed that 50.5% of victims were males with mean age of 30.33 ± 4.27 years and most of them were in 20- to 40-year age group. A total of 98 victims were discharged after treatment, and 1 victim died due to the severity of injuries after 3 days of hospitalization. Second type of injuries caused by the explosion accounted for most of the injuries (55.6%), and most treatments (54.5%) were related to the specific field of orthopedics.

Conclusion: Handling and transportation of fuels and chemicals via rail transport system is one of the potential hazards that threatens human life. The results showed that the highest numbers of victims were in 20- to 40-year age group, which is the age of economic efficiency. The prevention and reduction of human and financial losses resulting from accidents require proper national planning.

Keywords: Accidents; Man-made crises; Train explosion.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Blast Injuries / classification*
  • Blast Injuries / epidemiology*
  • Blast Injuries / physiopathology
  • Chemical Hazard Release / mortality
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Explosions / statistics & numerical data*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Infant
  • Injury Severity Score
  • Male
  • Mass Casualty Incidents / mortality
  • Middle Aged
  • Railroads / statistics & numerical data*
  • Retrospective Studies