Epidemiology of road traffic accidents in Suraram Hyderabad, Telangana state

Background: Road traffic accidents (RTA) are the major causes of premature deaths. Most of these deaths can be averted by adopting proper measures. Knowledge of mode of occurrence of these accidents may give insight of prevention. The present study has been taken up to know the epidemiological factors of road traffic accidents in Suraram village, Quthbullapur Mandal, Hyderabad (Telangana State) Objectives: To know the social profile of the road traffic accidents on basic of month, time of the day, age and sex and to analyze the road traffic accident as per the type of vehicle involved, mode of accident and the injuries sustained Methods: The present retrospective study was conducted in the department of forensic medicine Malla Reddy Institute of Medical Sciences (MRIMS) in Suraram located village, Quthbullapur Mandal, Hyderabad. MRIMS Hospital is located on NH 9 (Narsapur Road). The hospital has 650 beds with all the specialties and is catering services to the surrounding areas. The Vehicular traffic being high and added is the poor road conditions contributing to increased number of accidents. The study was conducted for 6 months period from April to September 2016. During the study period, 84 cases were reported to the hospital. All the cases reported to MRIMS Hospital were studied in relat Results: the results shows more than 50% of the RTAs occurred in the age group of 15-30 years. Maximum accidents occurred (29.76%) occurred during afternoon 3-6 pm around 50% of the accidents occurred in the month of July.The time interval from the occurrence of the RTA to arrival at hospital was 1-2 hrs in 41.67% of the cases. Majority of the RTA occurred among two wheeler users (52.38%).RTA due to self skidding occurred in 26.19% of the two wheeler users Conclusion: It is observed, among all the categories of vehicles involved in RTA, the two wheeler users were the majority involved in accidents(52.38%).Most of causes of the accidents were due to fault of the driver and in (8.34%)of the cases there was influence of alcohol while driving

Abstract licence: CC BY-NC-SA

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.