Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study a...Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study aimed to determine the prevalence and factors associated with non-return to work among surviving motorcyclists involved in road accidents 12 months after the event. Materials and Methods: It was a cross-sectional study conducted using data from a cohort of motorcyclists involved in accidents and recruited in five hospitals in Benin from July 2019 to January 2020. The dependent variable was non-return to work 12 months after the accident (yes vs no). The independent variables were categorized into two groups: baseline and 12-month follow-up variables. Logistic regression was used to determine the factors associated with non-return to work at 12 months among the participants. Results: Among the 362 participants, 55 (15.19%, 95% CI = 11.84 - 19.29) had not returned to work 12 months after the accident. Risk factors for non-return to work identified were: smoking (aOR = 4.41, 95% CI = 1.44 - 13.56, p = 0.010), hospitalization (aOR = 2.87, 95% CI = 1.14 - 7.24, p Conclusion: The prevalence of non-return to work at 12 months was high among surviving motorcyclists involved in road accidents in Benin. Integrated support for patients based on identified risk factors should effectively improve their return to work.展开更多
Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidem...Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidemiological and clinical analysis of ORL and cervicofacial injuries observed in victims of road accidents treated at the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. Materials and Methods: This prospective and descriptive study was conducted over a period of 12 months, from January 1st to December 31st, 2021, within the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. It included patients hospitalized for ORL and/or cervicofacial traumas resulting from road accidents during the study period. Results: A total of 348 cases were included, representing 36.22% of all traumas related to road accidents (AVP) within the Regional Hospital of Mamou. The average age of the patients was 26.44 years, with a sex ratio of 3.83, favoring males. The dominant socio-professional category was students, encompassing 32.47% of cases. Road accidents were mainly associated with motorcycle use (31.32% motorcycle-to-motorcycle, 24.43% motorcycle skidding, 13.51% motorcycle-pedestrian). Facial region injuries were the most common, accounting for 69.03% of cases, followed by rhinological injuries (17.28%) and otological injuries (13.69%). Associated injuries were predominantly closed head traumas (52.55%) and lower limb fractures (20.41%). Imaging was underutilized. Regarding surgical interventions, reconstructive surgery was the most predominant, accounting for 52.51% of cases, with a management timeframe of 30 minutes to 12 hours for 99.72% of patients. Conclusion: Road traffic accidents remain a serious public health issue, primarily affecting young males. Emphasis should be placed on road safety measures to reduce the frequency of these accidents.展开更多
In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The...In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The model combines the advantages of both grey forecasting method and Markov chains forecasting method, overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. An application example is conducted to evaluate the grey-Markov model, which shows that the precision of the grey-Markov model is better than that of grey model in forecasting road accidents.展开更多
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with th...This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>展开更多
Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that af...Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in terms of health, property damage and other economic factors. Sometimes, it is found that road accident occurrences are more frequent at certain specific locations. The analysis of these locations can help in identifying certain road accident features that make a road accident to occur frequently in these locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. In this paper, we first applied k-means algorithm to group the accident locations into three categories, high-frequency, moderate-frequency and low-frequency accident locations. k-means algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these locations. The rules revealed different factors associated with road accidents at different locations with varying accident frequencies. Theassociation rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of accidents. High-frequency accident locations mostly involved two-wheeler accidents at hilly regions. In moderate-frequency accident locations, colonies near local roads and intersection on highway roads are found dangerous for pedestrian hit accidents. Low-frequency accident locations are scattered throughout the district and the most of the accidents at these locations were not critical. Although the data set was limited to some selected attributes, our approach extracted some useful hidden information from the data which can be utilized to take some preventive efforts in these locations.展开更多
This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road acc...This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road accidents and how to mitigate the problem. The study used secondary data collected from the repository database of traffic police at the division of Tanzania Road Safety Squad. Data were collected at the events of accident occur</span><span style="font-family:Verdana;">re</span><span style="font-family:Verdana;">nces and reported annually by regions. Panel data analysis was used to allow for controlling variables which cannot be observed over time and across areas such as regions. Pooled Poisson model, fixed effect and random effect Poisson model was applied to assess factors for road traffic accidents. Fixed effect model was the best model with a reasonably good fit. Results indicated that all predictors are significant under fixed effect Poisson model with </span><span style="font-family:Verdana;">a </span><span style="font-family:""><span style="font-family:Verdana;">p-value less than 0.05 but Passengers and Railway crossing road was found insignificant and dropped in the final model. Laws and regulatory frameworks should be formulated and enforced promptly for Tanzania may reach the target of 2</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> decade of action for roads safety 2021-2030.展开更多
The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:&...The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">limb injuries during a serious road accident. </span><b><span style="font-family:Verdana;">Aim:</span></b><span style="font-family:Verdana;"> the aim is to show the increasing of road accident with the motorized tricycle and their many risks for pregnant woman. </span><b><span style="font-family:Verdana;">Case Presentation:</span></b><span style="font-family:Verdana;"> our patient was thrown from the back cargo of a motorized tricycle (three-wheeled vehicle) after a collision with a truck in a rural area from 150 km to Bobo-Dioulasso. She sustained a closed abdominal injury and a severe right lower limb open injury. At admission in our depart</span><span style="font-family:Verdana;">ment in the Teaching Hospital, she was conscious, shocked with hemodyn</span><span style="font-family:Verdana;">amic instability, including low blood pressure (75/52 mmHg), rapid heart rate (140 pulses per minute), rapid breath rate (40 per minute), and cold extremities. Abdominal examination was painful with uterine hypertonia, 28 cm height uterus, and no fetal heart heartbeat. A laparotomy in</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">urgency revealed a rupture of the uterus fundus with a dead fetus. A conservative surgical treatment was performed. An open trauma to the right limb was managed by the orthopedists with a good outcome. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Accident trauma during pregnancy is becoming more and more frequent with the increase in means of transport in urban and inter urban areas. The transport ways of the pregnant woman must take into account her safety and that of the fetus.展开更多
Road accidents are one of the most relevant causes of injuries and death worldwide,and therefore,they constitute a significant field of research on the use of advanced algorithms and techniques to analyze and predict ...Road accidents are one of the most relevant causes of injuries and death worldwide,and therefore,they constitute a significant field of research on the use of advanced algorithms and techniques to analyze and predict traffic accidents and determine the most relevant elements that contribute to road accidents.The research of road accident prediction aims to respond to the challenge of offer tools to generate a more secure mobility environment,and ultimately,save lives.This paper aims to provide an overview of the state of the art in the prediction of road accidents through machine learning algorithms and advanced techniques for analyzing information,such as convolutional neural networks and long short-term memory networks,among other deep learning architectures.Furthermore,in this article,a compendium and study of the most used data sources for the road accident forecast is made.And a classification is proposed according to its origin and characteristics,such as open data,measurement technologies,onboard equipment and social media data.For the analysis of the information,the different algorithms employed to make predictions about road accidents are listed and compared,as well as their applicability depending on the types of data being analyzed,along with the results obtained and their ease of interpretation and analysis.The best results reported by the authors are obtained when two or more analytic techniques are combined,in such a way that analysis of the obtained results is strengthened.Among the future challenges in road traffic forecasting lies the enhancement of the scope of the proposed models and predictions by the incorporation of heterogeneous data sources,that include geo spatial data,information from traffic volume,traffic statistics,video,sound,text and sentiment from social media,that many authors concur that can improve the precision and accuracy of the analysis and predictions.展开更多
This paper focuses on time series forecasting of monthly occurrence of fatal road accidents in Ondo State of Nigeria. Its aim, however, is to use time series analysis to analyze the data obtained from Federal Road Saf...This paper focuses on time series forecasting of monthly occurrence of fatal road accidents in Ondo State of Nigeria. Its aim, however, is to use time series analysis to analyze the data obtained from Federal Road Safety Corps （FRSC）, Ondo State Command; which was considered in two cases： the total cases reported （TCR） and the number of deaths resulted from accidents （NOD）. Various smoothing models for time series were used to analyze the two cases. Based on the models, predictions were made and the results show a steady increase as a result of long-term effects on road accidents for the two cases. It was found also that simple exponential smoothing model is the appropriate model for both TCR and NOD.展开更多
BACKGROUND: Road traffi c accidents(RTA) are responsible for 1.2 million deaths worldwide each year. RTA will become the 3rd largest contributor to the global burden of diseases after ischemic heart diseases(IHD) and ...BACKGROUND: Road traffi c accidents(RTA) are responsible for 1.2 million deaths worldwide each year. RTA will become the 3rd largest contributor to the global burden of diseases after ischemic heart diseases(IHD) and depression. We conducted a retrospective study on RTA in a tertiary center in the hilly district of Uttarakhand in India.METHODS: The number of RTA, pattern of RTA, the number of patients killed and injured, the pattern of injury causing death and disability, the severity of accidents, and the type of disability were noted from December 2009 to November 2011. The accident severity was calculated as the number of patients killed per 100 accidents. The methods for reducing the incidence of RTA were observed, and the role of policy makers was studied.RESULTS: The majority of deaths and disabilities in Uttarakhand were due to road traffic accidents in the hilly districts of the states. The most common cause of RTA was driving fault followed by defective roads.CONCLUSION: Proper designing of roads and minimizing the fault of drivers are essential to prevent road traffi c accidents in hilly regions.展开更多
In this study, we used the Human Capital (HC) accident analysis method, to determine the road traffic accident costs in Sudan in two successive years (2010 and 2011) with slight modifications to the recommended and kn...In this study, we used the Human Capital (HC) accident analysis method, to determine the road traffic accident costs in Sudan in two successive years (2010 and 2011) with slight modifications to the recommended and known framework in the way it handles currently and future accident cost components. We evaluated and compared the significance and impact of the economic loss caused by road traffic accidents in Sudan using detailed information on road traffic accident casualties, classified by severity level, vehicle type, and other key parameters such as discount rates and medical and insurance information for Sudan in its entirety. The total cost of road traffic accidents in Sudan in 2010 was estimated at US $391 million, which represents 0.57% of the Gross Domestic Product (GDP), while in 2011 the cost was calculated to reach US $413 million, representing 0.62% of GDP. Findings show that the amount of accident costs is estimated to a certain extent at less than 1% of the total GDP of the country in the two estimation years, but we believe that the evaluation process used fulfilled the eligibility criteria of HC studies and that the produced values for Sudan are valid and reliable. Unit costs for each crash severity level were also estimated in the two years such as death, disability, serious injury, slight injury, and vehicle damage. Death or fatality was equal to US $38,932 and 39,508;disability was equal to US $43,113 and US $45,165;serious injury was equal to US $6963 and US $7596;slight injury was equal to US $2570 and US $3198 and vehicle damage only was equal to US $2268 and US $2579 in the assessment years 2010 and 2011, respectively.展开更多
Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head in...Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head injuries within the overall toll of these accidents.Understanding what contributes to head injuries in RTAs is complex,and specific factors such as the number of vehicles involved,speed,vehicle weight,and impact surface add layers of intricacy that need scrutiny.In simpler terms,we need to look at how these factors come into play.Aims and Objectives:The primary objective is to analyze the distribution of fatal head injury cases in RTAs,investigating how factors such as the number of vehicles,speed,vehicle weight,and impact surface influence the frequency and severity of such injuries.Materials and Methods:The study involves interviews with attendants of 604 RTA cases with head injuries,brought to the mortuary of S.R.N.Hospital at Moti Lal Nehru Medical College in Prayagraj.Ethical clearance and informed consent were secured before collecting preliminary data.Results:Significant findings indicate that fatal head injuries were most prevalent in two-vehicle accidents(53.15%),followed by multi-vehicle collisions(25.33%)and single-vehicle accidents involving pedestrians or objects(21.52%).Notably,the majority of impacts occurred on the front end(43.71%)and on main roads(52.98%),pinpointing specific areas for targeted road safety measures.In the subset of 604 fatal head injury cases from RTAs,comminuted skull fractures constituted 29.30%,while intact cranial fossa involvement was observed in 71.36%.Conclusion:Understanding the correlation between fatal head injuries and variables like the number of vehicles involved is pivotal for evidence-based interventions and policies.Collaboration among policymakers,safety experts,health-care providers,and researchers is imperative for reducing injuries and improving road safety.Identifying injury distribution causes informs traffic safety and medical response enhancements,contributing to a safer,healthier world through evidence-driven strategies.展开更多
Being the leading death cause among young people in the world, road accidents are avoidable through the adoption of simple attitudes and behaviors. Handicap International Non-Governmental Organization (NGO) has launch...Being the leading death cause among young people in the world, road accidents are avoidable through the adoption of simple attitudes and behaviors. Handicap International Non-Governmental Organization (NGO) has launched an awareness campaign in secondary schools in the municipalities of Cotonou and Abomey-Calavito bring young Beninese users to adopt good attitudes and safe behavior while driving on the road. This study aims at assessing the effectiveness of this awareness campaign. It was an evaluative cross-sectional here-elsewhere type study, held in fourteen high schools in the cities of Cotonou and Abomey-Calavi, of which seven benefited from the campaign and seven did not. In each school, students were selected on the basis of two-stage random sampling. 656 students, 309 of whom were sensitized and 347 of whom were not, were included in this study. The campaign was quite effective. Students, teachers, and school officials’ perceptions of the campaign were positive. In addition, the sensitized students had a better level of knowledge (p = 0.001) and reported safer behaviors (p = 0.003) while driving on the road than those who were not aware. Although the effects are positive, they are still very small. Efforts must be continued and much remains to be done.展开更多
The existing evidence on the economic burden of road accidents on gross domestic product(GDP)focused mainly on developed countries.This paper addresses an important gap in the literature by investigating into the impa...The existing evidence on the economic burden of road accidents on gross domestic product(GDP)focused mainly on developed countries.This paper addresses an important gap in the literature by investigating into the impacts of road traffic accidents and injuries on GDP in the small island of Mauritius.Mauritius,having perceived an important structural transformation over the past decades,is witnessing a rise in road accidents and injuries,which is a concern in terms of economic costs.In addition,it is a small island nation with limited road infrastructure,making it vulnerable to traffic congestion and accidents.The paper provides important insights for other island countries with similar geographic chal-lenges.The Vector error correction model(VECM)approach is used to assessing the exis-tence of a long-run relationship between road traffic accidents and GDP in Mauritius from 1980 to 2020.In addition to road crashes,different levels of injury severity linked to road accidents are evaluated.The results reveal that on average a 1%rise in road acci-dents leads to a 0.42%fall in real GDP.Further,a 1%rise in casualties linked to road acci-dents is likely to cause a 0.18%decline in GDP.Although a long-run relationship is established,there is no statistically significant influence of road accidents on GDP in the short-run.展开更多
The aim of this paper is to examine the causes of road accidents in Cameroon. The Douala-Yaoundé highway was chosen as the case of study. Available field data recorded from the year 2006 to 2011, have enabled the...The aim of this paper is to examine the causes of road accidents in Cameroon. The Douala-Yaoundé highway was chosen as the case of study. Available field data recorded from the year 2006 to 2011, have enabled the analysis of each accident. The method used here is the factorial correspondence analysis;which aims to bring in a small number of dimensions, most of the initial </span><span style="font-family:Verdana;">information, focusing not on the absolute values, but the correspondence between t</span><span style="font-family:Verdana;">he variables, that is to say the relative values. From this analysis, it appears that, of the 906 accidents recorded during this period, top five causes account for nearly 83% of the information provided by the set of variables on the occurrence of road accidents. These causes are: driver inattention, lack of control, over speeding, improper overtaking and tire puncture. These results </span><span style="font-family:Verdana;">require involvement in the construction of road safety policies through training,</span><span style="font-family:Verdana;"> sensitization and adequate repressions as well as administrative reforms and research policy in road safety.展开更多
<strong>Objective:</strong> To explore the characteristics and mechanisms of serious injuries of chest caused by road traffic accidents. <strong>Methods:</strong> Totally 112 autopsy cases with...<strong>Objective:</strong> To explore the characteristics and mechanisms of serious injuries of chest caused by road traffic accidents. <strong>Methods:</strong> Totally 112 autopsy cases with chest injuries in the urban of Jingzhou road traffic accidents were collected. Systematic review and analysis of the general information, postmortem examinations and assessments of chest injury had carried out from Feb. 2016 to Mar. 2018. <strong>Results:</strong> Average age of the victims was 52.2 years and the ratio of male to female deaths was 2.39:1. The proportion of motor-cyclists and pedestrians increased significantly. The overwhelming majority of accident vehicles were motorcycles and bicycles. Fractures of ribs and pulmonary contusion were the most common injuries. Craniocerebral and abdominal injuries were the most common associated injuries. <strong>Conclusion:</strong> Fractures of ribs and pulmonary contusion were the most common features of fatal road traffic injuries, often associated with vitreoretinal damage and serious multiple damages. These features reflect the characteristics of great violence in traffic accidents, which provides the evidence of identification of violent injuries.展开更多
Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents a...Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.展开更多
Background: Disability is an underestimated issue in public health, with road crashes as leading cause. In Africa, motorcyclists disproportionately bear the burden of road crash injuries, including disability. To cont...Background: Disability is an underestimated issue in public health, with road crashes as leading cause. In Africa, motorcyclists disproportionately bear the burden of road crash injuries, including disability. To contribute to decision-making for disability prevention, this study aims to determine the prevalence and factors associated with disability at 12 months among motorcyclists involved in road crashes in Benin. Methods: This is a prospective, cross-sectional, analytical study based on 12-month follow-up data from a cohort of road crash victims set up in five hospitals in Benin. Data were collected from November 2020 to January 2021. Sample used for this analysis size was 297 motorcyclists. Disability was assessed using the Washington Group on Disabilities Statistics question set. Logistic regression analysis was used to identify risk factors for disability in victims 12 months after the crash. Results: The prevalence of disability was 12.5% 95% CI (9.2 - 16.7). Disability occurrence was associated with being over 45 years old (OR = 3.1;95% CI = 1.5 - 6.6), severity of initial injury (OR = 3.3;95% CI = 1.5 - 7.3) and hospitalisation of the victim (OR = 6.9;95% CI = 2.0 - 24). Conclusion: Age over 45 years, severity of initial injuries and hospitalisation of the victim were risk factors for the occurrence of disability among motorcyclists who were victims of road crashes in Benin. User awareness, law enforcement, holistic and early management of road crash victims could contribute to reducing the prevalence of disability among victims in Benin.展开更多
Aims: The aims of the study were to assess the degree of knowledge and adherence to the recommended safe practice for driving and the risk of road traffic accidents among people with diabetes mellitus in Armenia. Meth...Aims: The aims of the study were to assess the degree of knowledge and adherence to the recommended safe practice for driving and the risk of road traffic accidents among people with diabetes mellitus in Armenia. Methods: A total of 628 respondents, including 200 drivers, out of 641 consecutive attendees at six diabetes clinics, participated in the survey. A modified British questionnaire on driving and diabetes was used to obtain the relevant data. The information from all 103 drivers treated with insulin and 73 taking sulfonylureas was reviewed. Results: The study revealed that of 176 insulin and sulfonylurea-treated drivers, 161 (91.5%) had never received any advice about safe driving practices. Among the drivers, 156 (88.6%) never measured their blood glucose before, or during driving. The survey revealed that 86 (51.2%) of 168 patients had a history of at least one motor vehicle accident within the previous 5 years. The average road traffic accident rate per person/year was 0.21. Conclusions: The study revealed a lack of knowledge among drivers with diabetes treated with insulin or sulfonylureas concerning recommended safe practices for driving. This was associated with significant hypoglycemia while driving and an elevated rate of road traffic accidents.展开更多
文摘Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study aimed to determine the prevalence and factors associated with non-return to work among surviving motorcyclists involved in road accidents 12 months after the event. Materials and Methods: It was a cross-sectional study conducted using data from a cohort of motorcyclists involved in accidents and recruited in five hospitals in Benin from July 2019 to January 2020. The dependent variable was non-return to work 12 months after the accident (yes vs no). The independent variables were categorized into two groups: baseline and 12-month follow-up variables. Logistic regression was used to determine the factors associated with non-return to work at 12 months among the participants. Results: Among the 362 participants, 55 (15.19%, 95% CI = 11.84 - 19.29) had not returned to work 12 months after the accident. Risk factors for non-return to work identified were: smoking (aOR = 4.41, 95% CI = 1.44 - 13.56, p = 0.010), hospitalization (aOR = 2.87, 95% CI = 1.14 - 7.24, p Conclusion: The prevalence of non-return to work at 12 months was high among surviving motorcyclists involved in road accidents in Benin. Integrated support for patients based on identified risk factors should effectively improve their return to work.
文摘Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidemiological and clinical analysis of ORL and cervicofacial injuries observed in victims of road accidents treated at the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. Materials and Methods: This prospective and descriptive study was conducted over a period of 12 months, from January 1st to December 31st, 2021, within the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. It included patients hospitalized for ORL and/or cervicofacial traumas resulting from road accidents during the study period. Results: A total of 348 cases were included, representing 36.22% of all traumas related to road accidents (AVP) within the Regional Hospital of Mamou. The average age of the patients was 26.44 years, with a sex ratio of 3.83, favoring males. The dominant socio-professional category was students, encompassing 32.47% of cases. Road accidents were mainly associated with motorcycle use (31.32% motorcycle-to-motorcycle, 24.43% motorcycle skidding, 13.51% motorcycle-pedestrian). Facial region injuries were the most common, accounting for 69.03% of cases, followed by rhinological injuries (17.28%) and otological injuries (13.69%). Associated injuries were predominantly closed head traumas (52.55%) and lower limb fractures (20.41%). Imaging was underutilized. Regarding surgical interventions, reconstructive surgery was the most predominant, accounting for 52.51% of cases, with a management timeframe of 30 minutes to 12 hours for 99.72% of patients. Conclusion: Road traffic accidents remain a serious public health issue, primarily affecting young males. Emphasis should be placed on road safety measures to reduce the frequency of these accidents.
文摘In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The model combines the advantages of both grey forecasting method and Markov chains forecasting method, overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. An application example is conducted to evaluate the grey-Markov model, which shows that the precision of the grey-Markov model is better than that of grey model in forecasting road accidents.
文摘This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>
文摘Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in terms of health, property damage and other economic factors. Sometimes, it is found that road accident occurrences are more frequent at certain specific locations. The analysis of these locations can help in identifying certain road accident features that make a road accident to occur frequently in these locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. In this paper, we first applied k-means algorithm to group the accident locations into three categories, high-frequency, moderate-frequency and low-frequency accident locations. k-means algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these locations. The rules revealed different factors associated with road accidents at different locations with varying accident frequencies. Theassociation rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of accidents. High-frequency accident locations mostly involved two-wheeler accidents at hilly regions. In moderate-frequency accident locations, colonies near local roads and intersection on highway roads are found dangerous for pedestrian hit accidents. Low-frequency accident locations are scattered throughout the district and the most of the accidents at these locations were not critical. Although the data set was limited to some selected attributes, our approach extracted some useful hidden information from the data which can be utilized to take some preventive efforts in these locations.
文摘This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road accidents and how to mitigate the problem. The study used secondary data collected from the repository database of traffic police at the division of Tanzania Road Safety Squad. Data were collected at the events of accident occur</span><span style="font-family:Verdana;">re</span><span style="font-family:Verdana;">nces and reported annually by regions. Panel data analysis was used to allow for controlling variables which cannot be observed over time and across areas such as regions. Pooled Poisson model, fixed effect and random effect Poisson model was applied to assess factors for road traffic accidents. Fixed effect model was the best model with a reasonably good fit. Results indicated that all predictors are significant under fixed effect Poisson model with </span><span style="font-family:Verdana;">a </span><span style="font-family:""><span style="font-family:Verdana;">p-value less than 0.05 but Passengers and Railway crossing road was found insignificant and dropped in the final model. Laws and regulatory frameworks should be formulated and enforced promptly for Tanzania may reach the target of 2</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> decade of action for roads safety 2021-2030.
文摘The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">limb injuries during a serious road accident. </span><b><span style="font-family:Verdana;">Aim:</span></b><span style="font-family:Verdana;"> the aim is to show the increasing of road accident with the motorized tricycle and their many risks for pregnant woman. </span><b><span style="font-family:Verdana;">Case Presentation:</span></b><span style="font-family:Verdana;"> our patient was thrown from the back cargo of a motorized tricycle (three-wheeled vehicle) after a collision with a truck in a rural area from 150 km to Bobo-Dioulasso. She sustained a closed abdominal injury and a severe right lower limb open injury. At admission in our depart</span><span style="font-family:Verdana;">ment in the Teaching Hospital, she was conscious, shocked with hemodyn</span><span style="font-family:Verdana;">amic instability, including low blood pressure (75/52 mmHg), rapid heart rate (140 pulses per minute), rapid breath rate (40 per minute), and cold extremities. Abdominal examination was painful with uterine hypertonia, 28 cm height uterus, and no fetal heart heartbeat. A laparotomy in</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">urgency revealed a rupture of the uterus fundus with a dead fetus. A conservative surgical treatment was performed. An open trauma to the right limb was managed by the orthopedists with a good outcome. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Accident trauma during pregnancy is becoming more and more frequent with the increase in means of transport in urban and inter urban areas. The transport ways of the pregnant woman must take into account her safety and that of the fetus.
基金the Universidad Nacional de Colombia,funding call“Convocatoria Nacional Para el Apoyo a Proyectos de Investigacion y Creacion Artistica de la Universidad Nacional De Colombia 2017-2018”,project code 41614。
文摘Road accidents are one of the most relevant causes of injuries and death worldwide,and therefore,they constitute a significant field of research on the use of advanced algorithms and techniques to analyze and predict traffic accidents and determine the most relevant elements that contribute to road accidents.The research of road accident prediction aims to respond to the challenge of offer tools to generate a more secure mobility environment,and ultimately,save lives.This paper aims to provide an overview of the state of the art in the prediction of road accidents through machine learning algorithms and advanced techniques for analyzing information,such as convolutional neural networks and long short-term memory networks,among other deep learning architectures.Furthermore,in this article,a compendium and study of the most used data sources for the road accident forecast is made.And a classification is proposed according to its origin and characteristics,such as open data,measurement technologies,onboard equipment and social media data.For the analysis of the information,the different algorithms employed to make predictions about road accidents are listed and compared,as well as their applicability depending on the types of data being analyzed,along with the results obtained and their ease of interpretation and analysis.The best results reported by the authors are obtained when two or more analytic techniques are combined,in such a way that analysis of the obtained results is strengthened.Among the future challenges in road traffic forecasting lies the enhancement of the scope of the proposed models and predictions by the incorporation of heterogeneous data sources,that include geo spatial data,information from traffic volume,traffic statistics,video,sound,text and sentiment from social media,that many authors concur that can improve the precision and accuracy of the analysis and predictions.
文摘This paper focuses on time series forecasting of monthly occurrence of fatal road accidents in Ondo State of Nigeria. Its aim, however, is to use time series analysis to analyze the data obtained from Federal Road Safety Corps （FRSC）, Ondo State Command; which was considered in two cases： the total cases reported （TCR） and the number of deaths resulted from accidents （NOD）. Various smoothing models for time series were used to analyze the two cases. Based on the models, predictions were made and the results show a steady increase as a result of long-term effects on road accidents for the two cases. It was found also that simple exponential smoothing model is the appropriate model for both TCR and NOD.
文摘BACKGROUND: Road traffi c accidents(RTA) are responsible for 1.2 million deaths worldwide each year. RTA will become the 3rd largest contributor to the global burden of diseases after ischemic heart diseases(IHD) and depression. We conducted a retrospective study on RTA in a tertiary center in the hilly district of Uttarakhand in India.METHODS: The number of RTA, pattern of RTA, the number of patients killed and injured, the pattern of injury causing death and disability, the severity of accidents, and the type of disability were noted from December 2009 to November 2011. The accident severity was calculated as the number of patients killed per 100 accidents. The methods for reducing the incidence of RTA were observed, and the role of policy makers was studied.RESULTS: The majority of deaths and disabilities in Uttarakhand were due to road traffic accidents in the hilly districts of the states. The most common cause of RTA was driving fault followed by defective roads.CONCLUSION: Proper designing of roads and minimizing the fault of drivers are essential to prevent road traffi c accidents in hilly regions.
文摘In this study, we used the Human Capital (HC) accident analysis method, to determine the road traffic accident costs in Sudan in two successive years (2010 and 2011) with slight modifications to the recommended and known framework in the way it handles currently and future accident cost components. We evaluated and compared the significance and impact of the economic loss caused by road traffic accidents in Sudan using detailed information on road traffic accident casualties, classified by severity level, vehicle type, and other key parameters such as discount rates and medical and insurance information for Sudan in its entirety. The total cost of road traffic accidents in Sudan in 2010 was estimated at US $391 million, which represents 0.57% of the Gross Domestic Product (GDP), while in 2011 the cost was calculated to reach US $413 million, representing 0.62% of GDP. Findings show that the amount of accident costs is estimated to a certain extent at less than 1% of the total GDP of the country in the two estimation years, but we believe that the evaluation process used fulfilled the eligibility criteria of HC studies and that the produced values for Sudan are valid and reliable. Unit costs for each crash severity level were also estimated in the two years such as death, disability, serious injury, slight injury, and vehicle damage. Death or fatality was equal to US $38,932 and 39,508;disability was equal to US $43,113 and US $45,165;serious injury was equal to US $6963 and US $7596;slight injury was equal to US $2570 and US $3198 and vehicle damage only was equal to US $2268 and US $2579 in the assessment years 2010 and 2011, respectively.
文摘Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head injuries within the overall toll of these accidents.Understanding what contributes to head injuries in RTAs is complex,and specific factors such as the number of vehicles involved,speed,vehicle weight,and impact surface add layers of intricacy that need scrutiny.In simpler terms,we need to look at how these factors come into play.Aims and Objectives:The primary objective is to analyze the distribution of fatal head injury cases in RTAs,investigating how factors such as the number of vehicles,speed,vehicle weight,and impact surface influence the frequency and severity of such injuries.Materials and Methods:The study involves interviews with attendants of 604 RTA cases with head injuries,brought to the mortuary of S.R.N.Hospital at Moti Lal Nehru Medical College in Prayagraj.Ethical clearance and informed consent were secured before collecting preliminary data.Results:Significant findings indicate that fatal head injuries were most prevalent in two-vehicle accidents(53.15%),followed by multi-vehicle collisions(25.33%)and single-vehicle accidents involving pedestrians or objects(21.52%).Notably,the majority of impacts occurred on the front end(43.71%)and on main roads(52.98%),pinpointing specific areas for targeted road safety measures.In the subset of 604 fatal head injury cases from RTAs,comminuted skull fractures constituted 29.30%,while intact cranial fossa involvement was observed in 71.36%.Conclusion:Understanding the correlation between fatal head injuries and variables like the number of vehicles involved is pivotal for evidence-based interventions and policies.Collaboration among policymakers,safety experts,health-care providers,and researchers is imperative for reducing injuries and improving road safety.Identifying injury distribution causes informs traffic safety and medical response enhancements,contributing to a safer,healthier world through evidence-driven strategies.
文摘Being the leading death cause among young people in the world, road accidents are avoidable through the adoption of simple attitudes and behaviors. Handicap International Non-Governmental Organization (NGO) has launched an awareness campaign in secondary schools in the municipalities of Cotonou and Abomey-Calavito bring young Beninese users to adopt good attitudes and safe behavior while driving on the road. This study aims at assessing the effectiveness of this awareness campaign. It was an evaluative cross-sectional here-elsewhere type study, held in fourteen high schools in the cities of Cotonou and Abomey-Calavi, of which seven benefited from the campaign and seven did not. In each school, students were selected on the basis of two-stage random sampling. 656 students, 309 of whom were sensitized and 347 of whom were not, were included in this study. The campaign was quite effective. Students, teachers, and school officials’ perceptions of the campaign were positive. In addition, the sensitized students had a better level of knowledge (p = 0.001) and reported safer behaviors (p = 0.003) while driving on the road than those who were not aware. Although the effects are positive, they are still very small. Efforts must be continued and much remains to be done.
基金funding from the Traffic Management and Road Safety Unit,Ministry of Land Transport and Light Railway,Mauritius.
文摘The existing evidence on the economic burden of road accidents on gross domestic product(GDP)focused mainly on developed countries.This paper addresses an important gap in the literature by investigating into the impacts of road traffic accidents and injuries on GDP in the small island of Mauritius.Mauritius,having perceived an important structural transformation over the past decades,is witnessing a rise in road accidents and injuries,which is a concern in terms of economic costs.In addition,it is a small island nation with limited road infrastructure,making it vulnerable to traffic congestion and accidents.The paper provides important insights for other island countries with similar geographic chal-lenges.The Vector error correction model(VECM)approach is used to assessing the exis-tence of a long-run relationship between road traffic accidents and GDP in Mauritius from 1980 to 2020.In addition to road crashes,different levels of injury severity linked to road accidents are evaluated.The results reveal that on average a 1%rise in road acci-dents leads to a 0.42%fall in real GDP.Further,a 1%rise in casualties linked to road acci-dents is likely to cause a 0.18%decline in GDP.Although a long-run relationship is established,there is no statistically significant influence of road accidents on GDP in the short-run.
文摘The aim of this paper is to examine the causes of road accidents in Cameroon. The Douala-Yaoundé highway was chosen as the case of study. Available field data recorded from the year 2006 to 2011, have enabled the analysis of each accident. The method used here is the factorial correspondence analysis;which aims to bring in a small number of dimensions, most of the initial </span><span style="font-family:Verdana;">information, focusing not on the absolute values, but the correspondence between t</span><span style="font-family:Verdana;">he variables, that is to say the relative values. From this analysis, it appears that, of the 906 accidents recorded during this period, top five causes account for nearly 83% of the information provided by the set of variables on the occurrence of road accidents. These causes are: driver inattention, lack of control, over speeding, improper overtaking and tire puncture. These results </span><span style="font-family:Verdana;">require involvement in the construction of road safety policies through training,</span><span style="font-family:Verdana;"> sensitization and adequate repressions as well as administrative reforms and research policy in road safety.
文摘<strong>Objective:</strong> To explore the characteristics and mechanisms of serious injuries of chest caused by road traffic accidents. <strong>Methods:</strong> Totally 112 autopsy cases with chest injuries in the urban of Jingzhou road traffic accidents were collected. Systematic review and analysis of the general information, postmortem examinations and assessments of chest injury had carried out from Feb. 2016 to Mar. 2018. <strong>Results:</strong> Average age of the victims was 52.2 years and the ratio of male to female deaths was 2.39:1. The proportion of motor-cyclists and pedestrians increased significantly. The overwhelming majority of accident vehicles were motorcycles and bicycles. Fractures of ribs and pulmonary contusion were the most common injuries. Craniocerebral and abdominal injuries were the most common associated injuries. <strong>Conclusion:</strong> Fractures of ribs and pulmonary contusion were the most common features of fatal road traffic injuries, often associated with vitreoretinal damage and serious multiple damages. These features reflect the characteristics of great violence in traffic accidents, which provides the evidence of identification of violent injuries.
文摘Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.
文摘Background: Disability is an underestimated issue in public health, with road crashes as leading cause. In Africa, motorcyclists disproportionately bear the burden of road crash injuries, including disability. To contribute to decision-making for disability prevention, this study aims to determine the prevalence and factors associated with disability at 12 months among motorcyclists involved in road crashes in Benin. Methods: This is a prospective, cross-sectional, analytical study based on 12-month follow-up data from a cohort of road crash victims set up in five hospitals in Benin. Data were collected from November 2020 to January 2021. Sample used for this analysis size was 297 motorcyclists. Disability was assessed using the Washington Group on Disabilities Statistics question set. Logistic regression analysis was used to identify risk factors for disability in victims 12 months after the crash. Results: The prevalence of disability was 12.5% 95% CI (9.2 - 16.7). Disability occurrence was associated with being over 45 years old (OR = 3.1;95% CI = 1.5 - 6.6), severity of initial injury (OR = 3.3;95% CI = 1.5 - 7.3) and hospitalisation of the victim (OR = 6.9;95% CI = 2.0 - 24). Conclusion: Age over 45 years, severity of initial injuries and hospitalisation of the victim were risk factors for the occurrence of disability among motorcyclists who were victims of road crashes in Benin. User awareness, law enforcement, holistic and early management of road crash victims could contribute to reducing the prevalence of disability among victims in Benin.
文摘Aims: The aims of the study were to assess the degree of knowledge and adherence to the recommended safe practice for driving and the risk of road traffic accidents among people with diabetes mellitus in Armenia. Methods: A total of 628 respondents, including 200 drivers, out of 641 consecutive attendees at six diabetes clinics, participated in the survey. A modified British questionnaire on driving and diabetes was used to obtain the relevant data. The information from all 103 drivers treated with insulin and 73 taking sulfonylureas was reviewed. Results: The study revealed that of 176 insulin and sulfonylurea-treated drivers, 161 (91.5%) had never received any advice about safe driving practices. Among the drivers, 156 (88.6%) never measured their blood glucose before, or during driving. The survey revealed that 86 (51.2%) of 168 patients had a history of at least one motor vehicle accident within the previous 5 years. The average road traffic accident rate per person/year was 0.21. Conclusions: The study revealed a lack of knowledge among drivers with diabetes treated with insulin or sulfonylureas concerning recommended safe practices for driving. This was associated with significant hypoglycemia while driving and an elevated rate of road traffic accidents.
