dc.contributor.author | Macharia, Kimani Kevin | |
dc.date.accessioned | 2019-10-31T06:06:23Z | |
dc.date.available | 2019-10-31T06:06:23Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/107307 | |
dc.description.abstract | According to the World Health Organization (WHO, 2018), 1.35 million people died in
2016 on the world’s roads, with road tra c injuries being the leading cause of death for
children and young adults aged 529 years.
Road tra c injuries is ranked 8th in the leading causes of death for all ages in 2016.It
surpasses those dying from HIV/AIDS, tuberculosis and diarrhoeal diseases although the
political commitment and nancial investments in road safety is only a fraction of that
made to combat these diseases (WHO, 2018).
The objectives of the study were to determine factors associated with fatal Road Tra c
Accidents (RTAs) in Kenya and to determine which of the poisson model t the RTA
fatalities count data better. | en_US |
dc.language.iso | en | en_US |
dc.publisher | UoN | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | Modelling Fatalities Associated With Road Traffic Accidents And Other Factors Using Poisson Model | en_US |
dc.type | Thesis | en_US |