Road traffic accidents (RTAs) are important causes of mortality and morbidity due to the increasing number of vehicles, changes in lifestyle and the risk behaviours among general population. With the aim of exploring various epidemiological characteristics of RTAs, this retrospective analysis of medico-legal autopsies was conducted between January 2005 and December 2009 in the Department of Forensic Medicine, Kasturba Medical College, Manipal in Karnataka, South India. The information was collected from post-mortem registers and inquest documents received from the investigating police officers. The collected information was analysed using SPSS version 11.0. Out of the 879 autopsies conducted during the study period, 39% were due to RTAs. Among the victims, 89.8% were males and 10.2% were females. The mean age of victims was 38.7 years, which was slightly higher in females compared to males. Most of the male victims belonged to the age group 20-29 years. The head injuries were responsible for nearly 3/4th of deaths followed by abdominal injuries (6.7%). The mean duration of survival following road traffic accident was 6-7 days. Occupants of motorized two wheelers (43%) and pedestrians (33%) were the most common victims of RTAs followed by occupants of light motor vehicles (LMVs). The most common offending agents in road traffic accidents were heavy motor vehicles (35.2%) followed by light motor vehicles (31.7%). In view of the above finding, it is apt to conclude that RTAs are important public health hazards and should be addressed through strengthening of emergency healthcare, stricter enforcement of traffic laws and health education.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jflm.2012.02.031 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Risk quantification based Adaptive Cruise control and its application in approaching behavior at signalized intersections.
Accid Anal Prev
January 2025
School of Transportation, Southeast University, Nanjing, Jiangsu Province 211189, PR China; Institute on Internet of Mobility, Southeast University and University of Wisconsin-Madison, Southeast University, Nanjing, Jiangsu Province 211189, PR China.
Traffic signals, while reducing conflicts within intersections, often lead to stop-and-go behaviors in approaching vehicles, negatively impacting traffic flow in terms of safety, efficiency, and fuel consumption. Aimed at minimizing the traffic oscillations caused by traffic signals through Connected and Autonomous Vehicles (CAVs) and meeting real-time operational needs, this paper proposes a Risk-Based Adaptive Cruise Control (RACC). RACC designs the constraints of approaching a signalized intersection as expected risks, enabling compliance with all constraints while being adaptable to basic road scenarios.
View Article and Find Full Text PDFStreet-scale black carbon modelling over the West Midlands, United Kingdom: Sensitivity test of traffic emission factor adjustments.
Environ Int
January 2025
School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah 21589, Saudi Arabia. Electronic address:
Black carbon is harmful for climate, environment, and human health. Road traffic is one of the major sources for black carbon in urban areas. This study develops a street scale air quality model configuration for the dispersion of black carbon concentrations across the West Midlands, UK, incorporating updated road traffic emission factors.
View Article and Find Full Text PDFAsphalt pavement emission behavior under solar radiation during in-service period.
J Hazard Mater
January 2025
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
The toxic fume emitted from asphalt pavement remains a health and environmental hazard towards public safety, especially the emission of volatile organic compounds (VOCs) and polycyclic aromatic hydrocarbons (PAHs). Despite extensive studies focused on characterizing asphalt fumes generated during construction stages (i.e.
View Article and Find Full Text PDFA study on the optimal safety speed and warning sign distance for highways in windy and sandy environments based on driving behavior.
Traffic Inj Prev
January 2025
School of Civil and Hydraulic Engineering, NingXia University, YinChuan, China.
Objective: This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions.
Methods: Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation.
<b>Background and Objective:</b> It is well documented that Whole Genome Sequencing (WGS) has recently used to explore new resistance patterns and track the dissemination of extensive and pan drug-resistant microbes in healthcare settings. This article explores the link between traumatic infections caused by road traffic accidents (RTAs) leading to coma and the development of chest infections caused by extensively drug-resistant (XDR) <i>Klebsiella pneumoniae</i> and <i>Pseudomonas aeruginosa</i>. <b>Materials and Methods:</b> The study was carried out from March to December 2022 which included a 45-year-old male patient admitted to the ICU of Al Ramadi Teaching Hospitals following a severe RTA that resulted in a TBI and subsequent coma.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!