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نویسندگان مقالات پربازدید :
تجزیه و تحلیل تصادف & جلوگیری
جزئیات رویداد
اینستاگرام تی پی بین
همایش ، رویداد ، ژورنال
حوزه های تحت پوشش رویداد

  • road traffic injury incidence and crash characteristics in dar es salaam: a population based study

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    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/01/01
    • تاریخ انتشار در تی پی بین: 1392/01/01
    • تعداد بازدید: 875
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     road traffic injuries (rti) are a public health threat and a major source of disability in developing countries. a population-based analysis of rtis in a testimonially high-risk area of dar es salaam, the largest city in the east african country of tanzania, was carried out with the goal of establishing an rti incidence and to identify rti characteristics that may be used for a targeted injury prevention program in these communities. geographic cluster sampling was completed in 2 adjacent wards of dar es salaam with household surveys administered in person to determine a denominator. any household members involved in an rti within the previous 12 months received an in-depth questionnaire. demographics, incident characteristics, medical attention, injuries and disability days were noted. these are described and compared to injury severity and age specific tendencies. within the 30 clusters, 6001 individuals were interviewed. of them, 196 were involved in non-fatal rtis within the previous 12 months, resulting in a non-fatal incidence rate of 32.7 rtis per 1000 person years. there were 4 deaths noted. injuries resulting in a fracture correlated with a disability of more than 30 days. children were injured as pedestrians 93% of the time and were more likely to be injured on small, unpaved side streets than adults. most rtis occurred on a highway and affected the lower extremities, required treatment at a hospital, and resulted in a police report being filed 50.2% of the time. in conclusion, rtis in this urban east african setting are a major source of disability. this study provides incidence data and crash characteristics that may be used to construct prevention programs and could validate secondary data sources.

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