Statistical Modeling on Determinants of Traffic Fatalities and Injuries in Wolaita Zone, Ethiopia

Authors

  • Bereket Tessema Zewude

  • Kidus Meskele Ashine

Keywords:

fatalities, injuries, odds ratio, ordinal logistic regression, traffic accident wolaita zone, Ethiopia

Abstract

Road traffic accidents are a major public health concern In developing countries road traffic accidents are among the leading cause of death and injury Ethiopia experiences the highest rate of such accidents in Sub-Saharan Africa Out of all the accidents registered in Ethiopia Addis Ababa accounts for 60 on average especially in Wolaita zone more 25 on average The objective of this study is to identify factors that contribute to the occurrence of road traffic accidents leading to human injuries and death For study purpose we employed ordinal logistic regression models to identify factors influencing traffic fatalities and injuries Stratified sampling with proportional allocation and simple random sampling technique are used to select samples from recorded frame The result of ordinal logistic regression analyses shows that drivers aged 18-30 years caused the largest number of accidents

How to Cite

Bereket Tessema Zewude, & Kidus Meskele Ashine. (2016). Statistical Modeling on Determinants of Traffic Fatalities and Injuries in Wolaita Zone, Ethiopia. Global Journal of Human-Social Science, 16(H4), 49–54. Retrieved from https://socialscienceresearch.org/index.php/GJHSS/article/view/1857

Statistical Modeling on Determinants of Traffic Fatalities and Injuries in Wolaita Zone, Ethiopia

Published

2016-03-15