Literature DB >> 8782759

Meeting the challenge of railway injury in a South African city.

L B Lerer1, R Matzopoulos.   

Abstract

BACKGROUND: Efficient and safe transport infrastructure is vital for economic growth in developing countries. The city of Cape Town, South Africa, has an extensive rail network with high levels of injury and violence. We investigated the reporting and frequency of railway injuries and examined their reduction through a range of interventions.
METHODS: We analysed railway injury and death reporting by Cape Town's rail utility, state mortuaries, and a regional trauma survey. The data were obtained over 2.5 years, and the use of more than one data source was necessary to increase the size of the data pool and to determine under-reporting.
FINDINGS: There were 379 railway-related deaths and 505 serious injuries during the study period. Most death (190) were train-pedestrian collisions, and the fatality rate on the metropolitan lines was about 60 per 100 million passenger journeys. There was substantial under-reporting by the rail utility of both fatal (20% under-reported) and non-fatal injuries (at least 24%). Many injuries occurred during peak commuting times and alcohol played an important part, especially in pedestrian fatalities.
INTERPRETATION: Our results demonstrate the importance of a comprehensive, sustainable railway injury surveillance system to promote safety engineering and law enforcement in a metropolitan rail system.

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Year:  1996        PMID: 8782759     DOI: 10.1016/S0140-6736(96)02100-9

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  4 in total

1.  Public health lessons learned from analysis of New York City subway injuries.

Authors:  Amber A Guth; Andrea O'Neill; H Leon Pachter; Thomas Diflo
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

2.  Firearm and nonfirearm homicide in 5 South African cities: a retrospective population-based study.

Authors:  Richard G Matzopoulos; Mary Lou Thompson; Jonathan E Myers
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

3.  Gravity models to classify commuting vs. resident workers. An application to the analysis of residential risk in a contaminated area.

Authors:  Guido Signorino; Roberto Pasetto; Elisa Gatto; Massimo Mucciardi; Marina La Rocca; Pierpaolo Mudu
Journal:  Int J Health Geogr       Date:  2011-01-27       Impact factor: 3.918

4.  Emergencies on the train and railway stations managed at a railway station emergency care center.

Authors:  Kundavaram P P Abhilash; Parth Sharma; Vaikunth Ramesh; J John Samuel; P Vinod; Prasanth Arun; A G Cornelius
Journal:  J Family Med Prim Care       Date:  2020-02-28
  4 in total

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