title: Survival pattern of first accident among commercial drivers in the Greater Accra Region of Ghana.
abstract: In this study, the average accident risk of commercial drivers in the Greater Accra region of Ghana and its associated risks were examined based on a survey data collected using paper-based questionnaires from 204 commercial drivers from the Greater Accra Region of Ghana. The Cox Proportional Hazards Model was used for multivariate analysis while the Kaplan-Meier (KM) Model was used to study the survival patterns of the commercial drivers. The study revealed that the median survival time for an accident to happen is 2.50 years. Good roads provided a better chance of survival than bad roads and experienced drivers have a better chance of survival than the inexperienced drivers. Age of driver, alcohol usage of driver, marital status, condition of road and duration of driver's license were found to be related to the risk of accident.
authors.affiliation: Department of Basic Sciences, University of Health and Allied Sciences, Ghana; SANA Research and Consultancy Ghana Limited, Ghana. Electronic address: salifu.nanga@gmail.com.
authors.forename: Salifu
authors.initials: S
authors.lastname: Nanga
authors.affiliation: SANA Research and Consultancy Ghana Limited, Ghana.
authors.forename: Nii Afotey
authors.initials: NA
authors.lastname: Odai
authors.affiliation: Department of Statistics, University of Ghana, Ghana.
authors.forename: Anani
authors.initials: A
authors.lastname: Lotsi
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality / Q000706:statistics & numerical data*; D000328:Adult; D001334:Automobile Driving / Q000706:statistics & numerical data*; D005260:Female; D005869:Ghana / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D008297:Male; D018986:Motor Vehicles / Q000706:statistics & numerical data; D016016:Proportional Hazards Models; D012306:Risk; D012307:Risk Factors; D012449:Safety; D011795:Surveys and Questionnaires; D013997:Time Factors
keywords: Accident; Cox Proportional Hazards; Drivers; Kaplan-Meier (KM) Model