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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research and Publications Office of Jimma University
2021
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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. |
format | Online Article Text |
id | pubmed-8188113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research and Publications Office of Jimma University |
record_format | MEDLINE/PubMed |
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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