Background: Road crash injury is largely preventable and predictable; it is a human-made problem amenable to rational analysis and countermeasures. All the studies on Road Traffic accidents either use number of accidents or victims according to availability of accident data. Studies combining these two types of data to identify hazardous locations are a rarity. In this study data on both, the n...

BACKGROUND The aim of this study was to analyze changes of coping strategies in severely injured accident victims over time and to compare patients with high and low posttraumatic stress disorder (PTSD) symptom levels with regard to their coping patterns and accident-related cognitions. METHODS 106 consecutive patients with severe accidental injuries admitted to a trauma surgery intensive car...

The rapid population growth and increasing economic activities have resulted in the tremendous growth of motor vehicles which is considered one of the primary factors responsible for increasing road accidents in many metropolitan cities of developing countries, including Kolkata, India. In this paper an assessment of the current level of road safety in Kolkata is made utilizing data obtained fr...

Although several studies have used logit or probit models and their variants to fit data of accident severity on roadway segments, few have investigated accident severity at a railroad grade crossing (RGC). Compared to accident risk analysis in terms of accident frequency and severity of a highway system, investigation of the factors contributing to traffic accidents at an RGC may be more compl...

Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poisson-lognormal) for modelling the number of accidents at different severity levels simultaneously. This paper proposes an alternative method to...

Introduction: Road traffic accidents (RTA) will become the third-largest contributor to global burden of diseases after ischemic heart and depression. The place where accident percentages are higher is called as black spot location. most common assumption for a location that, there should be any road environmental or geometric issues resulting in repetition accidents. Methodology: Our study was...

OBJECTIVE Accidental injuries are frequent and their socioeconomic consequences enormous. The present study aimed to identify predictors of the number of days of leave taken in a consecutively selected group of accident victims who sustained severe, mostly life-threatening physical trauma. METHOD One hundred patients with severe accidental injuries who were referred to a trauma surgeons' inte...