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Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia

BACKGROUND: Traffic accident is the most serious problem in developing countries like Ethiopia, which is among the leading cause of death with the highest increasing rate from year to year in Ethiopia. This research aimed to identify the associated factors on the frequency of injuries per vehicle cr...

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Autores principales: Derese, Biru Mohammed, Trueha, Dumga Kassahun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research and Publications Office of Jimma University 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188113/
https://www.ncbi.nlm.nih.gov/pubmed/34158757
http://dx.doi.org/10.4314/ejhs.v31i1.12
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author Derese, Biru Mohammed
Trueha, Dumga Kassahun
author_facet Derese, Biru Mohammed
Trueha, Dumga Kassahun
author_sort Derese, Biru Mohammed
collection PubMed
description BACKGROUND: Traffic accident is the most serious problem in developing countries like Ethiopia, which is among the leading cause of death with the highest increasing rate from year to year in Ethiopia. This research aimed to identify the associated factors on the frequency of injuries per vehicle crash in Gurage zone. METHODS: A retrospective study was conducted to identify the contributing factors of a number of injuries per accident. The data were collected from all traffic control and investigation office of 13 Woredas (Districts) for the past five consecutive years from 2013 to 2017. Negative Binomial Regression model was employed to identify the associated factors that affect the number of injuries per accident. RESULTS: A total of 334 accidents recorded in the last five years from 2013 to 2017 in Gurage zone. Two hundred eight three (84.73%) of the accidents were caused 610 number of injuries. The significantly associated factors of frequency of injuries per road traffic accidents were Drivers' Age (IR: 0.9813; CI: 0.9664 - 0.9962), Drivers' Sex: Female (IR : 1.6386; CI : 1.2176 - 2.0596), Drivers' vehicles ownership: Hired (IR: 1.4216; CI: 1.1697 - 1.6735) and non-drivers' related variables, like weather condition: Rainy (IR: 1.6041; CI: 1.2552 - 1.9529), road shape: street-square (IR: 1.7421 ; CI: 1.1908 - 2.2934) and vehicle type: Isuzu (load)(IR: 1.6845; CI : 1.2592 - 2.1098) Minibus (IR: 2.7253; CI 2.3129 - 3.1377). CONCLUSIONS: This study found that, Driver's related factors: Driver's Age, Sex, Drivers' vehicle ownership, and non-drivers' related variables: Weather condition, Road shape, and Vehicle type were identified as significantly associated factors on the frequency of injuries per vehicle crash in Gurage Zone.
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spelling pubmed-81881132021-06-21 Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia Derese, Biru Mohammed Trueha, Dumga Kassahun Ethiop J Health Sci Original Article BACKGROUND: Traffic accident is the most serious problem in developing countries like Ethiopia, which is among the leading cause of death with the highest increasing rate from year to year in Ethiopia. This research aimed to identify the associated factors on the frequency of injuries per vehicle crash in Gurage zone. METHODS: A retrospective study was conducted to identify the contributing factors of a number of injuries per accident. The data were collected from all traffic control and investigation office of 13 Woredas (Districts) for the past five consecutive years from 2013 to 2017. Negative Binomial Regression model was employed to identify the associated factors that affect the number of injuries per accident. RESULTS: A total of 334 accidents recorded in the last five years from 2013 to 2017 in Gurage zone. Two hundred eight three (84.73%) of the accidents were caused 610 number of injuries. The significantly associated factors of frequency of injuries per road traffic accidents were Drivers' Age (IR: 0.9813; CI: 0.9664 - 0.9962), Drivers' Sex: Female (IR : 1.6386; CI : 1.2176 - 2.0596), Drivers' vehicles ownership: Hired (IR: 1.4216; CI: 1.1697 - 1.6735) and non-drivers' related variables, like weather condition: Rainy (IR: 1.6041; CI: 1.2552 - 1.9529), road shape: street-square (IR: 1.7421 ; CI: 1.1908 - 2.2934) and vehicle type: Isuzu (load)(IR: 1.6845; CI : 1.2592 - 2.1098) Minibus (IR: 2.7253; CI 2.3129 - 3.1377). CONCLUSIONS: This study found that, Driver's related factors: Driver's Age, Sex, Drivers' vehicle ownership, and non-drivers' related variables: Weather condition, Road shape, and Vehicle type were identified as significantly associated factors on the frequency of injuries per vehicle crash in Gurage Zone. Research and Publications Office of Jimma University 2021-01 /pmc/articles/PMC8188113/ /pubmed/34158757 http://dx.doi.org/10.4314/ejhs.v31i1.12 Text en © 2021 Biru Mohmammed., et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Derese, Biru Mohammed
Trueha, Dumga Kassahun
Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title_full Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title_fullStr Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title_full_unstemmed Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title_short Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia
title_sort modeling frequency of injuries per vehicle crash in gurage zone, southern ethiopia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188113/
https://www.ncbi.nlm.nih.gov/pubmed/34158757
http://dx.doi.org/10.4314/ejhs.v31i1.12
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