scholarly journals Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

2020 ◽  
Author(s):  
Merga Abdissa Aga ◽  
Berhanu Teshome Woldeamanuel ◽  
Mekonnen Tadesse
Keyword(s):  
Young People ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Negative Binomial ◽  
Road Traffic ◽  
Daily Basis ◽  
Road Traffic Accidents ◽  
Factors Associated ◽  
Major Factors

Abstract Abstract Background : Globally, road traffic accidents are leading causes of death among young people in general, and the main cause of death among young people aged 15–29 years. This study was conducted to identify the major factors associated with the number of human deaths by road traffic accident in the Oromia Regional State, Ethiopia. Methods: We used data obtained from the Oromia Police Commission Bureau that have been recorded on daily basis road traffic accidents from July, 2016 - July, 2017. Count regression models were was used to assess the factors associated with the number of human deaths from traffic accidents. Results : Of the total of 3900 road traffic accidents included in the 1188 (30.5%) were giving rise to fatal. The Hurde models were of better fit than zero inflated Poisson and zero inflated negative binomial model. Thus, the Hurdle Poisson is recommended in this study. Age of the driver 31-50 years (AOR = 0.289, 95%CI: 0.175, 0.479) and higher than 50 years of age (AOR = 0.311, 95%CI: 0.129, 0.751), driver’s years of experience 5-10 years (AOR = 0.014, 95%CI: 0.007, 0.027), and more than 10 years (AOR = 0.101, 95%CI: 0.057, 0.176), vehicle type automobile (AOR = 8.642, 95%CI: 2.7644, 27.023), vehicle years of service 5-10 years (AOR = 2.484, 95%CI: 1.194, 5.169), and more than 10 years (AOR = 2.639, 95%CI: 1.268, 5.497), type of accident, vehicle upside down (AOR = 5.560, 95%CI: 2.506, 12.336), causes of accident, turning illegal position (AOR = 0.454, 95%CI: 0.226, 0.913), area of accident, residential place (AOR = 108.506, 95%CI: 13.725, 857.798), working areas (AOR = 129.606, 95%CI: 16.448, 1021.263), near hospitals (AOR = 23.789, 95%CI: 3.038, 186.298), geographical locations, Western zones (AOR = 0.275, 95%CI: 0.167, 0.455), and South east zones (AOR = 0.624, 95%CI: 0.410, 0.950) were significant associated number of human deaths per road traffic accident factors in the study area. Conclusion : In this study, 30.5% of accidents were giving rise to at least one human death per road traffic accident and different associated numbers of human deaths per traffic accident factors have been identified.

scholarly journals Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

2020 ◽  
Author(s):  
Merga Abdissa Aga ◽  
Berhanu Teshome Woldeamanuel ◽  
Mekonnen Tadesse
Keyword(s):  
Young People ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Negative Binomial ◽  
Road Traffic ◽  
Daily Basis ◽  
Road Traffic Accidents ◽  
Factors Associated ◽  
Regional State

Abstract Background: Globally, road traffic accidents are leading causes of death among young people in general, and the main cause of death among young people aged 15–29 years. Recently, in Ethiopia, the average number of road traffic accidents has been increasing, particularly the Oromia regional state is experiencing a higher road traffic fatalities. This study was conducted to identify the major factors associated with the number of human deaths by road traffic accident in the Oromia Regional State, Ethiopia. Methods: We used data obtained from the Oromia Police Commission Bureau that have been recorded on daily basis road traffic accidents from July, 2016 - July, 2017. Count regression models were was used to assess the factors associated with the number of human deaths from road traffic accidents.Results: Of the total of 3900 road traffic accidents included in the 1188 (30.5%) were giving rise to fatal. The Hurdle models were of better fit than zero inflated Poisson and zero inflated negative binomial model. Thus, the Hurdle Poisson is recommended in this study. Age of the driver 31-50 years (AOR = 0.289, 95%CI: 0.175, 0.479) and higher than 50 years of age (AOR = 0.311, 95%CI: 0.129, 0.751), driver’s years of experience 5-10 years (AOR = 0.014, 95%CI:0.007, 0.027), and more than 10 years (AOR = 0.101, 95%CI:0.057, 0.176), vehicle type automobile (AOR = 8.642, 95%CI:2.7644, 27.023), vehicle years of service 5-10 years (AOR = 2.484, 95%CI:1.194, 5.169), and more than 10 years (AOR = 2.639,95%CI:1.268, 5.497), type of accident, vehicle upside down (AOR = 5.560,95%CI: 2.506, 12.336), causes of accident, turning illegal position (AOR = 0.454, 95%CI:0.226, 0.913), area of accident, residential place (AOR = 108.506, 95%CI: 13.725, 857.798), working areas (AOR = 129.606, 95%CI: 16.448, 1021.263), near hospitals (AOR =23.789, 95%CI: 3.038, 186.298), geographical locations, Western zones (AOR = 0.275, 95%CI: 0.167, 0.455), and South east zones (AOR = 0.624, 95%CI: 0.410, 0.950) were significant associated number of human deaths per road traffic accident factors in the study area.Conclusion: In this study,30.5% of accidents were giving rise to at least one human death per road traffic accident and different associated numbers of human deaths per road traffic accident factors have been identified. Thus, interventions by the bodies concerned with introduction educational programs that will create awareness about road traffic accidents and the associated human deaths, especially targeting road users, young drivers, passengers and pedestrians.

scholarly journals Statistical modeling of numbers of human deaths per road traffic accident in the Oromia region, Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251492
Author(s):  
Merga Abdissa Aga ◽  
Berhanu Teshome Woldeamanuel ◽  
Mekonnen Tadesse
Keyword(s):  
Young People ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Daily Basis ◽  
Road Traffic Accidents ◽  
Residential Areas ◽  
Factors Associated ◽  
Traffic Police

Background Globally, road traffic accidents are the leading causes of death among young people in general, and the main cause of death among young people aged 15–29 years. Recently, in Ethiopia, the number of road traffic accidents has been increasing. The study aimed to identify the potential factors associated with the number of human deaths by road traffic accidents in the Oromia Regional State, Ethiopia. Methods We used data obtained from the Oromia region traffic police office recorded on daily basis road traffic accidents from July 2016 up to July 2017. Count regression models were was used to analyses the factors associated with the number of human deaths from road traffic accidents. Results Age of the driver’s 31–50 years (AOR = 0.289, 95%CI: 0.175, 0.479) and higher than 50 years old (AOR = 0.311, 95%CI: 0.129, 0.751), driver’s years of experience 5–10 years (AOR = 0.014, 95%CI: 0.007, 0.027), and more than 10 years (AOR = 0.101, 95%CI: 0.057, 0.176), automobile vehicle type (AOR = 8.642, 95%CI: 2.7644, 27.023), vehicle years of service 5–10 years (AOR = 2.484, 95%CI: 1.194, 5.169), and more than 10 years (AOR = 2.639, 95%CI: 1.268, 5.497), vehicle upside down accidents (AOR = 5.560, 95%CI: 2.506, 12.336), turning illegal position (AOR = 0.454, 95%CI: 0.226, 0.913), residential areas (AOR = 108.506, 95%CI: 13.725, 857.798), and working areas (AOR = 129.606, 95%CI: 16.448, 1021.263) were significant associated number of human deaths per road traffic accident factors in the study area. Conclusion Human deaths per road traffic accidents occurred due to the younger age of the driver, driver’s lack of sufficient experience, vehicle serviced for long years, driving on a wet road, driving in the afternoon, driving near/around residential places and vehicle to driver’s relation. Thus, the regional traffic police should give special attention to younger drivers, less experienced drivers, old vehicles, driving near residential areas, driving automobiles, and driving in the afternoon to control traffic system to reduce the number of human deaths pear road traffic accident.

scholarly journals Use of prehospital, hospitalization and presence of sequelae and/or disability in road traffic injury victims in Brazil

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249895
Author(s):  
Gabriela Camargo Tobias ◽  
Polyana Maria Pimenta Mandacarú ◽  
Rafael Alves Guimarães ◽  
Otaliba Libânio Morais Neto
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Prehospital Care ◽  
Road Traffic Accidents ◽  
Factors Associated ◽  
The Road ◽  
Care Services ◽  
The Moment

Objective To estimate the prevalence and analyze the association between sociodemographic and behavioral variables with the use of prehospital care, hospitalization and sequelae and/or disability in victims of road traffic accidents victims in Brazil. Methods Data from the National Health Survey conducted in 2013 in Brazil were used. Data were collected through a direct household survey. The research sample consisted of 1,840 individuals who reported road traffic accidents in the previous 12 months. Poisson regression analysis was used to evaluate the factors associated with the use of prehospital care services, hospitalization, and the presence of sequelae and/or disability. Results The prevalence of road traffic accidents victims who received prehospital care was 13.0% (95% Confidence Interval [95% CI]: 10.3–16.3) and the factors associated with this outcome were: residing in the Northeast or North region of Brazil; residing in rural areas; and being a motorcycle occupant at the moment of the road traffic accident. The frequency of hospitalization was 7.7% (95% CI: 6.0–10.0) and the associated factors were: age between 40 and 59 years; being a motorcycle occupant or pedestrian and having received on-site care at the moment of the road traffic accident. The prevalence of sequelae and/or disability was 15.1% (95% CI: 12.5–18.2) and the associated factors were: age range between 30 and 39 years or 40 and 59 years; being a motorcycle occupant, being a pedestrian or belonging to other category of modes of transport and having received on-site care at the moment of the road traffic accident. Conclusion The study allowed to evaluate the factors associated with prehospital care, hospitalization and presence of sequelae and/or disability in the victims of road traffic accident and the results can guide the implementation of interventions that prioritize the population exposed to the highest risk of road traffic accident injuries and with less access to prehospital and hospital care services in Brazil.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Alcohol and Fatal Road Traffic Accidents

1982 ◽  
Vol 22 (3) ◽  
pp. 189-194 ◽  
Author(s):  
M. Rufus Crompton
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol ◽  
Road Traffic Accidents ◽  
Characteristic Distribution ◽  
Road Users ◽  
Blood Alcohol Levels ◽  
Age And Sex

An analysis of 208 cases of immediate death in a road traffic accident in which the blood alcohol was estimated, showed a definite characteristic distribution of varying blood alcohol levels in the various types of road users of differing age and sex.

scholarly journals Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital

2020 ◽  
Vol 15 (2) ◽  
pp. 213-217
Author(s):  
Md Moshiur Rahman ◽  
Farzana Zafreen ◽  
Abu Noman Mohammed Mosleh Uddin
Keyword(s):  
Cause Of Death ◽  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Military Hospital ◽  
Road Traffic Accidents ◽  
Traffic Crashes ◽  
Road Traffic Crashes

Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents.  Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217

An Empirical Inquiry into Maintenance Work of Auto-Mechanics and its Relative Bearing on Road Traffic Accidents - A Developing Country Case, Ghana

2018 ◽  
Vol 34 ◽  
pp. 139-160
Author(s):  
Aaron Agbenyegah Agbo ◽  
Wen Feng Li ◽  
Lan Bo Zheng ◽  
Charles Atombo
Keyword(s):  
Developing Countries ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Quality Standard ◽  
Mechanical Failure ◽  
Survey Method ◽  
Road Traffic Accidents ◽  
Work Quality

Road traffic accidents are challenges the world is battling in recent times. Majority of increasing road fatalities occurs in developing countries. This study seeks to address part of the issues leading to mechanical failures and road traffic accidents in the developing countries with Ghana as a case study. The study model was validated with the use of a sample collected from 880 mechanics from six regions. The mechanics completed questionnaire measures of perception on used parts, brand new parts, mechanical failure, road accidents and demographic variables. In addition, observation and survey method were also used to collect the data on work quality. The result shows that mechanical failure and road traffic accident correlated positively with used parts and negatively correlated with brand new parts. The study model explained R2 = 0.46 and 0.65 of the variance in mechanical failure and road traffic accident respectively. The independent predictors of mechanical failure were age, gender, experience, perception about used parts and work quality. The predictors of road traffic accident were experience, mechanical failure, perception about brand new parts and work quality. We conclude that the mechanical failure and road traffic accidents could be attributed to non-use of genuine parts, poor work quality standard and poor supervision during and after repairs. Remedial measures addressing these issues could reduce road traffic accident in Ghana.

scholarly journals Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani
Keyword(s):  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Accident Analysis ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Black Spots

Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

scholarly journals Knowledge regarding prevention of road traffic accidents among the adolescents in a community at Dharan Municipality

2014 ◽  
Vol 4 (1) ◽  
pp. 81-84
Author(s):  
Neela Subba ◽  
Dipty Subba
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Signals ◽  
Descriptive Study ◽  
Road Traffic Accidents ◽  
Seat Belts ◽  
Safety Seat ◽  
Structured Questionnaire

Descriptive study with the aim to assess knowledge regarding prevention of road traffic accidents was done by administrating self-structured questionnaire among 100 adolescents (between 10-19 years) at Dharan Municipality. Questionnaire includes the information regarding demographic and knowledge about meaning, causes and prevention of road traffic accidents. Among the respondents 55% were male and 45% were female. Driver responsibility and not obeying traffic signals for occurrences of RTA, use of safety seat belts for minimizing Road Traffic Accident, were the most responses provided 85%, 91% and 81% respectively.  Overall, only 33.34% had good knowledge regarding prevention of road traffic accidents. The study concludes the need for knowledge about accident prevention.

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