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The article is devoted to a detailed analysis of the impact of international cooperation on improving road traffic safety in Ukraine. The author emphasizes that every year, approximately 1.3 million people die worldwide as a result of road traffic accidents, with tens of millions more suffering injuries of varying severity. This makes the issue one of the most pressing on the international agenda. In this regard, international cooperation in the field of road traffic saf ety is of paramount importance. One of the main topics of the article is the analysis of international agreements, such as the 1968 Vienna Convention on Road Traffic, which is a key document in regulating road traffic at the international level. The Convention establishes uniform standards for the participating countries, promoting the unification of traffic rules, which is especially important in the context of the globalization of transport systems. The article examines how Ukraine is gradually implementing the provisions of this Convention into its national legislation, which is an important step toward harmoni zation with international standards. The article also explores global initiatives such as «Vision Zero,» which aims to achieve zero road deaths. This initiative originated in Sweden and has spread to many countries in Europe and around the world. The article analyzes successful cases of this initiative's implementation in EU countries, which have significantly reduced road mortality rates. Ukraine is also striving to adapt these standards, which could become a key factor in reducing road accidents on its roa ds. The research methodology outlined in the article is based on an in-depth analysis of legal acts, a comparative study of international and national road safety standards, and a review of successful international practices in this field. This approach allows for a comprehensive assessment of the role of international cooperation in improving national road traffic safe ty policies. In conclusion, the author emphasizes that international cooperation not only contributes to improving infrastructure and regulatory frameworks but also stimulates the further development of a road safety culture. For Ukraine, it is crucial to continue cooperation with international organizations and adapt global standards to its conditions. This will not only improve road traffic safety but also reduce the accident rate on its roads. [ABSTRACT FROM AUTHOR]

One of the main challenges in translating chronobiology research into clinical practice is represented by differences in how basic scientists and clinicians evaluate evidence. The workshop "Assessing Evidence in Translational Chronobiology," which was held at the University of Surrey in June 2023, addressed this issue by bringing together basic scientists and clinicians to evaluate evidence on two specific topics: the impact of Daylight Saving Time (DST) on road traffic accidents and the relationship between delayed school start times (SSTs) and sleep duration in high school students. A comprehensive literature search was conducted for discussions during the workshop, which is presented in this review. The studies on both topics were analyzed from varying perspectives, including that of a chronobiologist and a transportation engineer for the DST-centered question, and that of a chronobiologist and an evidence-based medicine expert for the SSTs-centered question. The workshop audience, acting as a Delphi panel, attempted to produce statements/recommendations. It was concluded that most studies suggest that sleep duration benefits from delayed SSTs in high school, while less obvious results were obtained regarding the effect of DST on road safety. [ABSTRACT FROM AUTHOR]

ABSTRACT: Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years. Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017–December 2018), we have conducted this study among older adults (45–59 years) and elderly (≥60 years) Indians. Bivariate analysis was conducted to estimate the prevalence of RTA and depression nationally and across aspirants, achievers, and front runner states. Multivariable logistic regression was conducted between RTA and depression, adjusted with demographic and socioeconomic; health related and behavioral factors. P value <0.05 was considered as statistically significant. Results: Prevalence of RTA was 1.84 (1.74-1.94)% nationally, highest among achiever states (2.04 (1.82–2.30)%). Prevalence of depression was 6.08 (5.90–6.26)% nationally, highest among aspirant states (7.02 (6.74–7.30)%). The adjusted odds of having accident was significantly 1.75 times higher among depressed (aOR 1.75, 95% CI 1.44–2.13) than non-depressed participants which was highest across front runners (aOR 1.86, 95%CI 1.26–2.72) followed by aspirant states (aOR 1.79, 95%CI 1.37–2.33). Conclusion: This study established the association between depression and road traffic accidents among older adults and elderly. Therefore, efforts must be taken to address mental health issues specially focusing on depression in them with proper policy implication more focused on front runners followed by aspirant states. [ABSTRACT FROM AUTHOR]

• Causal analysis of pro-cyclical behaviour of crash numbers and their driving factors. • Synthetic control method implemented for case study of financial crisis in Germany. • Crash rate fell by 8 % due to the recession. • Reduction can be attributed to 1/4 to reduced exposure and to 3/4 to reduced risk. • Driving factors were among others rurality, alcohol, speeding and driver's age. Introduction: Research suggests that recessions correlate with reductions in crash counts. However, knowledge is still scarce regarding the causality of this association, and the mechanisms through which economic shocks affect crash numbers are not well understood. We address these research gaps by applying an econometric methodology that has so far not been used for these research questions. Method: We use a quasi-natural experimental approach as our identification strategy. By exploiting the spatial heterogeneity of a shock, we define affected and less affected regions as treatment and control units. A synthetic control approach is applied to identify the causal impact of a shock on crash counts and explore the mechanisms contributing to this effect. As a case study, we use the 2008/09 financial crisis in Germany and exploit its high spatial variation. Results: We find that the crisis caused a significant crash rate reduction of 8% in the treated region. Only 1/4 of this reduction can be attributed to the decline in exposure. The remaining 3/4 are associated with the crisis-induced decrease in crash risk. Decomposing this effect shows that the crash rates in rural areas, of newly registered vehicles, of young adults, related to alcohol and speeding decline more than the overall crash rate. In contrast, crash rates of severe crashes, of heavy-goods vehicles, at night and on weekends are not the driving factors of the decrease in crash rates. Several robustness tests validate the results. Conclusions: Crash counts declined significantly due to the economic crisis. However, the magnitude of the influence is highly dependent on the crash characteristics. Practical applications: Understanding the trajectory of crash counts is crucial for implementing traffic safety measures and working towards vision zero. Our study shows that macroeconomic parameters are important potential confounding factors that should be considered in accident analysis. [ABSTRACT FROM AUTHOR]

To know the clinical signs and radiological findings of different types of maxillofacial fractures following facial trauma in road traffic accidents. In this retrospective study, the medical records and computerized tomography scans of 100 patients who have sustained facial fractures in road traffic accident during 2021–2022 were reviewed at Raichur Institute of Medical Sciences, Raichur; for maxillofacial fractures. Data was tabulated and statistically analysed using SPSS software version 21. 100 patients who have sustained maxillofacial injuries in road traffic accident were included in the study. Male to female ratio was 8:1. Most common age group involved was 21–30 years. Maximum number of accidents occurred during night and 38% contributed to driving under the influence of alcohol. Clinical examination findings ranged from simple abrasion, swelling/odema/haematoma, contusion to lacerations and loss of tissue. Of 66 patients with Ear Nose Throat (ENT) bleed, 26 had ear bleed, 34 had nose bleed and 17 had oral cavity bleed. Maximum individuals in the study had orbital fractures (44%). 45% had associated head injury. 30 patients had associated injuries of upper limbs, 25 had lower limb injuries and 8% had blunt trauma. 47% patients required neurosurgical intervention, 44% ophthalmology, 39% faciomaxillary surgeon intervention. Maxillofacial injuries following road traffic accidents are more common as face is the most exposed part of the body. Managing patients with road traffic accidents requires multi disciplinary approach. Safety precautions while driving like use of driving accessories, following traffic rules plays major role. This study will help the policy makers to evolve a better trauma care program by focusing on the target groups and introducing cost effective preventive measures. [ABSTRACT FROM AUTHOR]

Introduction: The prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to estimate distribution and determine the association between RTA and depression among Indian population aged 45 years and above: overall and stratified into age group, gender and across states/union territories as aspirants, achievers, and front runners. Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017–December 2018), we have conducted this study among middle aged (45–59 years) and older adults and elderly (≥ 60 years) Indians. Bivariate analysis was conducted to estimate the prevalence of RTA and depression nationally and across aspirants, achievers, and front runner states. States and union territories were categorised as low, medium, and high as per RTA and depression prevalence, which were further cross tabulated. Spatial distribution maps were created using Microsoft Excel. We have documented the association of RTA with depression. To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was analysed using STATA version 17. Results: Prevalence of RTA was 1.84% (1.74–1.94) nationally, highest among achiever states [2.04% (1.82–2.30)]. Prevalence of depression was 6.08% (5.90–6.26) nationally, highest among aspirant states [7.02% (6.74–7.30)]. The adjusted odds of having RTA was significantly among depressed [aOR (95% CI) 1.76 (1.45–2.15)] than non-depressed participants; which was much higher among females [aOR (95% CI) 1.93 (1.43–2.62)] than in males [aOR (95%CI) 1.67 (1.29–2.16)] and much higher among middle aged [aOR (95%CI) 2.08 (1.63–2.65)]. Odds of RTA was highest across front runners [aOR (95%CI) 1.86 (1.26–2.72)] followed by aspirant states [aOR (95%CI) 1.79 (1.37–2.33)]. Conclusion: This study established the positive association between depression and road traffic accidents among middle aged, older adults and elderly. Therefore, efforts must be taken to address mental health issues in them with proper policy implication more focused on females and middle aged. Front runner's states should get the limelight followed by aspirant states. [ABSTRACT FROM AUTHOR]

ABSTRACT: Background: Fractures occurring in the lower extremities as a result of road traffic accidents (RTAs) can lead to considerable morbidity and constitute a large proportion of nonfatal injuries that necessitate hospitalization. The present study aimed to examine the epidemiology of lower extremity fractures linked with RTAs in pediatric patients. Methods: This is a descriptive retrospective research study carried out between 2015 and 2022 at St. Mary's Children's Hospital, Iasi, Romania, targeting the population below the age of 18 years who experienced trauma from RTAs and received treatment from the trauma department. Data pertaining to various aspects, including age distribution, the frequency of accidents, the types of injuries incurred, and surgical treatment, were gathered. Results: The findings revealed a total of 358 cases of RTAs, out of which 112 fit the required criteria, and a total of 22 patients, accounting for 19.64%, had open fractures. Conclusion: This research provides information on lower extremity fractures and associated injuries in the pediatric population living in urban and rural areas throughout the Moldova region in Romania, subsequent to RTAs. The objective is to deliver the most relevant information at the patient's bedside and provide proper healthcare services. [ABSTRACT FROM AUTHOR]

This study planned to predict and analyze the driver injury severity (DIS) using 12 machine learning (ML) algorithms. Police reports of single- and two-vehicle accidents that occurred during 2011–2020 in the two cities of India (Itanagar and Imphal) were used in this study. The best-performing model to predict the DIS for Itanagar was Gradient Boosting Trees (GBT). "Causes of Accident" variable had shown maximum impact on the DIS. In the case of Imphal, it was the GBT, Extra Trees, and Random Forest models across all k-fold cross-validation for train ratios 0.70, 0.80, and 0.90, respectively. "Causes of Accident" and "Vehicle Type" had shown maximum impact on the DIS. These results reveal that the ML models can be applied in hilly areas to predict and identify the important factors that affect DIS. Transportation authorities can analyze road accident data using these models while implementing various road safety measures. [ABSTRACT FROM AUTHOR]

The relevance of the topic is driven by the increasing number of road traffic accidents and the need to improve road safety. National road safety initiatives are an important component of state policy aimed at reducing accidents and saving lives. The effective implementation of these measures can significantly improve road conditions and contribute to the sustainable development of transport infrastructure. The article is dedicated to the analysis of national initiatives in the field of road safety in Ukraine and their implementation in the context of European standards. The main objective of the research is to identify key areas and mechanisms for improving road safety by adapting European experience. Special attention is given to the analysis of legal acts regulating road safety, such as the Law of Ukraine «On Road Traffic» and resolutions of the Cabinet of Ministers of Ukraine, as well as recommendations for their improvement. The national initiatives being implemented in Ukraine are examined in the context of international cooperation and the adoption of European standards. The article also explores the impact of new technologies and information systems on enhancing safety, such as the use of GPS and automated systems for collecting data on road conditions. Particular attention is paid to the role of national monitoring bodies responsible for overseeing road accidents and developing strategies to improve road safety. The experience of European Union countries, specifically France, Germany, and Italy, regarding the creation and functioning of such bodies is analyzed, and recommendations for adapting these models in Ukraine are provided. The article concludes by emphasizing the importance of a comprehensive approach to improving road safety, which includes the joint efforts of the state, the public, and international partners, as well as the integration of advanced technologies. The research findings can be useful for shaping new national road safety strategies and enhancing the effectiveness of existing measures. [ABSTRACT FROM AUTHOR]

Urban greening is threatened by the concern that street trees increase traffic-related injury/death. Associations between all serious and fatal traffic crashes and street tree percentages were examined in Sydney, Australia. Associations were adjusted for confounding factors relating to driver behavior (speeding, fatigue, and use of alcohol) and road infrastructure, including alignment (e.g., straight, curved), surface condition (e.g., dry, wet, ice), type (e.g., freeway, roundabout), and speed limit. Models indicated that 10% more street trees were associated with 3% and 20% higher odds of serious or fatal injuries and 20% tree collisions on roads of any speed, respectively. However, further analysis stratified by speed limit revealed contrasting results. Along roads of 70 km/h or greater, 10% more street trees were associated with 8% higher odds of serious or fatal injury and 25% higher odds of death. Comparable associations were not found between street trees and serious or fatal injuries along roads below 70 km/h. Reducing speed limits below 70 km/h saves lives and may mitigate risks of serious or fatal traffic accidents associated with street trees, enabling greener, cooler, healthier cities. [ABSTRACT FROM AUTHOR]

Background: Road traffic accidents (RTAs) are a pressing public health issue in Ethiopia, exacerbated by rapid urbanization and motorization. Despite efforts, escalating rates persist due to various factors like human behavior and road infrastructure deficiencies. This study addresses the need for comprehensive data on RTAs in Ethiopia, aiming to uncover socioeconomic and behavioral factors to inform evidence-based policies. Methods: A systematic review and meta-analysis were conducted from March to April 2024, adhering to PRISMA guidelines. Major databases like Google Scholar, PubMed, and the Cochrane Library were searched using specific keywords related to RTAs and Ethiopia. Studies conducted between 2014 and 2024 were included, with eligibility criteria. Data extraction followed a standardized Microsoft Excel format. Study quality was assessed using the JBI checklist, with high-quality articles included. Statistical analysis, conducted using STATA version 17, included descriptive analysis, forest plots for RTA prevalence, and examination of publication bias using Egger and Begs tests. Subgroup analysis and meta-regression explored moderating factors and sources of heterogeneity. Results: The systematic review identified eight studies meeting inclusion criteria, conducted between 2014 and 2022. RTA prevalence was 36% (95% CI: 23; 49). Sensitivity analysis confirmed the robustness of the estimated prevalence. Publication bias was detected via Egger's test, though Begg's test was non-significant. Meta-regression found no significant influence of publication year or sample size on RTA prevalence. Socioeconomic factors like income level and driving experience, alongside behavioral factors like traffic rule violations and substance use, were identified as key drivers of RTAs in Ethiopia. Conclusions: The study highlights the significant burden of road traffic accidents in Ethiopia, influenced by socioeconomic and behavioral factors. Socioeconomic factors such as income level and driving experience, along with behavioral factors like traffic rule violations and substance use, emerged as prominent determinants of RTAs. Policymakers should prioritize evidence-based interventions targeting these factors to improve road safety nationwide. [ABSTRACT FROM AUTHOR]

Every year, millions die in road accidents globally, imposing significant economic and humanitarian costs. While road traffic accidents are a major health concern, many developing countries, including Ethiopia, struggle to address this issue effectively. Ethiopia ranks second in East Africa for severe road traffic accidents, highlighting the need for improved injury reduction strategies. This study introduces a novel approach by chronologically identifying and prioritizing accident black spots in the studied area, Ethiopia. This method provides a valuable tool for transportation authorities and traffic police to target high-risk areas for immediate intervention. Focusing on the Dembecha-Injibara highway segment, the study employs both descriptive and inferential analyses, using the Zegeer method to calculate accident rates. It also uses factors of weight contributing to road traffic accidents and their severity to rank accident-prone areas. The findings reveal that areas near Finote Selam, Banja, and Burie are highly prone to severe accidents, with specific accident frequencies and priority values identified. Recommendations are offered to address these high-risk areas and mitigate severe traffic accidents in the study region. [ABSTRACT FROM AUTHOR]

ABSTRACT: Introduction: Globally, road traffic injuries (RTIs) are the eighth leading cause of death, with an estimated 1.35 million deaths yearly. In India, road traffic accidents (RTAs) are one of the major causes of mortality among the younger generation. We analyzed Tamil Nadu's comprehensive Road Accident Data Management System (RADMS) data and described the epidemiological indicators of RTI in this setting. Methods: We obtained the data from the RADMS database for 2011–2016 and used 2011 population census data to project and standardize for different age groups and genders to calculate incidence. We calculated average annual percentage changes (AAPC) with a 95% confidence interval for the whole period. We computed Joinpoint regression analysis for trends and calculated the age-adjusted incidence rate with standard error (SE) using R statistical computing software. Results: We included 3,67,094 RTAs and 5,50,447 RTIs. We observed that the incidence of RTAs and RTIs declined between 2011 and 2016. Most injured were males (82%) and aged 20–39 years (49%). The highest number of accidents occurred on the state highways (65.2%) and on Sundays (17%). Age-adjusted incidence (per 1,00,000) declined from 121.87 (SE 0.4) in 2011 to 92.73 (SE 0.34) in 2016 (AAPC = -4.5% (95% CI = -7.8 to -1)). The age groups 30–39 and 20–29 were 9.82 (z = 8.98; P < 0.05) and 9.02 (z = 8.65; P < 0.05) times at a higher risk compared to 0–9 years old. The motorcyclists (14–27 times; P < 0.05) and pedestrians (12–23 times; P < 0.05) had the maximum risk of RTIs. Conclusion: Young adults, drivers, motorcyclists, and pedestrians remain vulnerable populations for RTIs. More accidents occurred in the state highways and on Sundays. The analysis provides insights on RTIs and RTAs, which will be used to reduce the burden of RTIs and save millions of lives. [ABSTRACT FROM AUTHOR]

Objective: To investigate the epidemiology of injuries and risk factors in Raipur, Chhattisgarh, India. Methods: A community-based cross-sectional study was conducted in 10 selected wards of Raipur. Data were collected from injured individuals using a structured questionnaire. Socio-demographic characteristics, injury mechanisms, medical care-seeking behavior, and outcomes were assessed. Results: 312 individuals with injuries were included, with 193 men and 119 women. Males were more likely to be injured than females (61.86% v.s. 38.14%). Younger adults aged 21-30 were at highest risk (21.5%). The most common injuries were falls (38.8%) and road traffic accidents (34.9%). Injuries occurring on-road are the most frequent, followed by, at home with a highly significant association (P <0.001). Most individuals sought medical care (90.1%), primarily in private facilities (51.3%). Conclusions: This study provides valuable insights into the epidemiology of injuries in Raipur. The findings can inform the development of evidence-based interventions to reduce the burden of injuries and improve the health and well-being of the population. [ABSTRACT FROM AUTHOR]

Background: The objective of this study was to investigate the pattern of craniofacial injuries in victims of fatal road traffic accidents, observed through autopsies conducted at Midnapore Medical College, West Midnapore from January 2021 to December 2023. Methods: It is a retrospective, cross-sectional observational study. Data were collected through a comprehensive analysis of post-mortem reports documenting injuries in alleged road traffic accident cases where victims sustained craniofacial injuries. The study covered a period of three years, from January 1, 2021, to December 31, 2023. The data were analysed using Microsoft Excel. Conclusion: The study underscores the need for context-specific interventions to address the unique injury patterns observed in road traffic accidents in West Midnapore. Enhancing road infrastructure, increasing traffic safety awareness, and promoting the use of protective measures like seat belts and helmets can significantly reduce the incidence of severe craniofacial injuries. The high prevalence of maxillofacial fractures highlights the vulnerability of the face, with substantial long-term physical and psychological repercussions. Effective prevention strategies, including stringent traffic regulations and awareness campaigns about the dangers of distracted or impaired driving, are essential. Despite its limitations, this study offers valuable insights into the patterns of craniofacial injuries in fatal accidents, emphasizing the need for improved road safety measures, stricter traffic laws, and enhanced post-accident care. Interdisciplinary collaboration among healthcare professionals, law enforcement, and policymakers is crucial for developing comprehensive strategies to manage and prevent these injuries. By analysing regional injury characteristics and comparing them with findings from other studies, this research contributes to a broader understanding of craniofacial trauma. The findings have significant implications for improving road safety, trauma care, and forensic practices. [ABSTRACT FROM AUTHOR]

Road traffic injuries (RTIs) are a pressing public health concern in India, leading to a rise in injury‐related deaths, hospitalizations, and disabilities. India accounts for a significant portion of the world's fatal traffic accidents, with two‐wheelers being involved in the majority of these accidents. The impact of non‐fatal injuries on individuals extends beyond the bodily consequences of the injury and includes both the physical and psychological dimensions of the injury. The literature indicates the need for policy cascades and implementation framework for the prevention of road traffic injury. This study aimed to investigate the post‐RTI experiences and challenges faced by college students who experienced road traffic injury during their college life by using a qualitative research approach in Madurai district, Tamil Nadu, India. The study found that college students who experienced RTIs faced a wide range of physical, emotional, and social difficulties. The study highlights the need for a more comprehensive and holistic approach to RTI prevention that takes into account the complex interplay of individual, environmental, and societal factors that contribute to RTIs. The study also underscores the urgent need to improve the quality and availability of healthcare and rehabilitation services for RTI survivors. [ABSTRACT FROM AUTHOR]

Background: Fractures occurring in the lower extremities as a result of road traffic accidents (RTAs) can lead to considerable morbidity and constitute a large proportion of nonfatal injuries that necessitate hospitalization. The present study aimed to examine the epidemiology of lower extremity fractures linked with RTAs in pediatric patients. Methods: This is a descriptive retrospective research study carried out between 2015 and 2022 at St. Mary’s Children’s Hospital, Iasi, Romania, targeting the population below the age of 18 years who experienced trauma from RTAs and received treatment from the trauma department. Data pertaining to various aspects, including age distribution, the frequency of accidents, the types of injuries incurred, and surgical treatment, were gathered. Results: The findings revealed a total of 358 cases of RTAs, out of which 112 fit the required criteria, and a total of 22 patients, accounting for 19.64%, had open fractures. Conclusion: This research provides information on lower extremity fractures and associated injuries in the pediatric population living in urban and rural areas throughout the Moldova region in Romania, subsequent to RTAs. The objective is to deliver the most relevant information at the patient’s bedside and provide proper healthcare services.

Objective: To investigate the epidemiology of injuries and risk factors in Raipur, Chhattisgarh, India. Methods: A community-based cross-sectional study was conducted in 10 selected wards of Raipur. Data were collected from injured individuals using a structured questionnaire. Socio-demographic characteristics, injury mechanisms, medical care-seeking behavior, and outcomes were assessed. Results: 312 individuals with injuries were included, with 193 men and 119 women. Males were more likely to be injured than females (61.86% v.s. 38.14%). Younger adults aged 21-30 were at highest risk (21.5%). The most common injuries were falls (38.8%) and road traffic accidents (34.9%). Injuries occurring on-road are the most frequent, followed by, at home with a highly significant association (P

Background: Organ transplantation is a critical medical intervention for patients with end-stage organ failure. Deceased organ donation plays a pivotal role in meeting the demand for organs. However, there exists a significant disparity between the need for organs and their availability, especially in low-income countries. India, despite its potential donor pool, faces a severe shortage of organs for transplantation. Materials and Methods: This retrospective study analyzed hospital records of 116 potential deceased organ donors from 2013 to 2020. Data encompassed demographics, next-of-kin consent for organ transplantation, and circumstances of injury. Results: Results revealed that 85.34% of potential donors were men, and 14.66% were women. After counseling, 71.55% (83/116) of the families consented to deceased organ donation. Most potential donors fell within the 21–30 age group (25.88%). The majority of donors (80.17%) died due to road traffic accidents (RTAs), primarily two-wheeler drivers constituted the largest group of deceased (51.72%). Conclusion: Bridging the gap between organ demand and supply in India necessitates addressing the lack of awareness regarding brain death and organ transplantation. Collaborative efforts involving NGOs, healthcare institutions, media, and government bodies are essential to raise awareness and improve donation rates, especially in public health centers. Establishing guidelines for compassionate discussions with families about organ donation is imperative.

Abstract Introduction The prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to estimate distribution and determine the association between RTA and depression among Indian population aged 45 years and above: overall and stratified into age group, gender and across states/union territories as aspirants, achievers, and front runners. Methods Using Longitudinal Aging Study in India (LASI) dataset (April 2017–December 2018), we have conducted this study among middle aged (45–59 years) and older adults and elderly (≥ 60 years) Indians. Bivariate analysis was conducted to estimate the prevalence of RTA and depression nationally and across aspirants, achievers, and front runner states. States and union territories were categorised as low, medium, and high as per RTA and depression prevalence, which were further cross tabulated. Spatial distribution maps were created using Microsoft Excel. We have documented the association of RTA with depression. To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was analysed using STATA version 17. Results Prevalence of RTA was 1.84% (1.74–1.94) nationally, highest among achiever states [2.04% (1.82–2.30)]. Prevalence of depression was 6.08% (5.90–6.26) nationally, highest among aspirant states [7.02% (6.74–7.30)]. The adjusted odds of having RTA was significantly among depressed [aOR (95% CI) 1.76 (1.45–2.15)] than non-depressed participants; which was much higher among females [aOR (95% CI) 1.93 (1.43–2.62)] than in males [aOR (95%CI) 1.67 (1.29–2.16)] and much higher among middle aged [aOR (95%CI) 2.08 (1.63–2.65)]. Odds of RTA was highest across front runners [aOR (95%CI) 1.86 (1.26–2.72)] followed by aspirant states [aOR (95%CI) 1.79 (1.37–2.33)]. Conclusion This study established the positive association between depression and road traffic accidents among middle aged, older adults and elderly. Therefore, efforts must be taken to address mental health issues in them with proper policy implication more focused on females and middle aged. Front runner’s states should get the limelight followed by aspirant states.

Abstract Background Road traffic accidents (RTAs) are a significant global public health issue, leading to injuries, fatalities, and substantial economic losses. In Nepal, RTAs are a major concern, with notable regional variations in incidence and severity. This study analyzed the spatial distribution and types of road traffic injuries in Nepal from Fiscal Year (FY) 2019–2020 to 2021–2022, focusing on the impact of road types and geographic factors. Methods The study covers all 77 districts of Nepal, incorporating diverse geographic and climatic regions. Data on RTAs, including fatal and non-fatal injuries, were obtained from the Kathmandu Valley Traffic Police Office, Nepal. Spatial analysis was conducted using Quantum GIS (QGIS) and GeoDa software. Univariate and bivariate risk factor analyses were performed using Moran’s I statistics to detect spatial autocorrelation in RTA severity. Results The overall fatality rate increased from 7.70 to 9.89 per 100,000 population from FY 2019–2020 to 2021–2022. However, spatial clustering of crashes showed a decline over the years. In FY 2019–2020 (Moran’s I; 0.276, p-value; 0.001), moderate clustering was observed, which weakened in the subsequent years (Moran’s I; 0.127, p-value; 0.002), with a near-random distribution by FY 2021–2022 (Moran’s I; -0.015, p-value; 0.457). The analysis of crash severity revealed significant variations across districts, with high fatality rates in remote areas like Mustang and Mugu, and low rates in districts such as Manang. Road Network Analysis The study examined the impact of different road types on RTA severity. Bitumen (BT) roads showed a negative correlation with RTA rates, while Earthen Roads (ER) were positively associated with higher RTA rates. Hot-spot and cold-spot clusters were identified for each road type, highlighting higher or lower RTA severity areas. Conclusion This study provides valuable insights into the spatial patterns of RTAs in Nepal and the influence of road types on accident severity. The findings emphasize the need for targeted road safety interventions and infrastructure improvements, particularly in high-risk areas. By understanding spatial distributions and road network impacts, policymakers can better address road safety challenges and reduce the incidence of RTAs in Nepal.

Introduction Globally, road traffic injuries (RTIs) are the eighth leading cause of death, with an estimated 1.35 million deaths yearly. In India, road traffic accidents (RTAs) are one of the major causes of mortality among the younger generation. We analyzed Tamil Nadu’s comprehensive Road Accident Data Management System (RADMS) data and described the epidemiological indicators of RTI in this setting. Methods We obtained the data from the RADMS database for 2011–2016 and used 2011 population census data to project and standardize for different age groups and genders to calculate incidence. We calculated average annual percentage changes (AAPC) with a 95% confidence interval for the whole period. We computed Joinpoint regression analysis for trends and calculated the age-adjusted incidence rate with standard error (SE) using R statistical computing software. Results We included 3,67,094 RTAs and 5,50,447 RTIs. We observed that the incidence of RTAs and RTIs declined between 2011 and 2016. Most injured were males (82%) and aged 20–39 years (49%). The highest number of accidents occurred on the state highways (65.2%) and on Sundays (17%). Age-adjusted incidence (per 1,00,000) declined from 121.87 (SE 0.4) in 2011 to 92.73 (SE 0.34) in 2016 (AAPC = -4.5% (95% CI = -7.8 to -1)). The age groups 30–39 and 20–29 were 9.82 (z = 8.98; P < 0.05) and 9.02 (z = 8.65; P < 0.05) times at a higher risk compared to 0–9 years old. The motorcyclists (14–27 times; P < 0.05) and pedestrians (12–23 times; P < 0.05) had the maximum risk of RTIs. Conclusion Young adults, drivers, motorcyclists, and pedestrians remain vulnerable populations for RTIs. More accidents occurred in the state highways and on Sundays. The analysis provides insights on RTIs and RTAs, which will be used to reduce the burden of RTIs and save millions of lives.

In the course of practical implementation of the Road Safety Strategy in the Russian Federation, relevant specialists realize not only the unreality of achieving its goals within the established time frame, but also the declarative nature of this document and the lack of appropriate scientific and methodological tools, the use of which could help in solving the tasks set. One of the important elements of this tool could be a methodology for quantitative assessment of the risks of road traffic accidents. Another element is the results of assessing the spatio-temporal specificity of risk formation processes. The purpose of the study, some results of which are presented in this article, is to study the dynamics of spatio-temporal features of the formation of risks of death of Russians in road accidents (for the case of large cities). The article presents the methodology and results of assessing the risks of road traffic accidents in Russian cities with a population of Ngor = 501 ... 1000 thousand people. The specificity of the risk of road traffic accidents is considered from the position of assessing the statistical relationship between two particular components of the accident risk – «Risk of participation in an abstract road traffic accident (RTA) P RTA» (Indicator 1) and «Total consequences of an accident (Risk of death in a specific accident Cons RTA» (Indicator 2). The results of the study are characterized by scientific novelty. In particular, it was found that particular characteristics of the accident risk P RTA and Cons RTA can be considered from the position of dialectical opposition. With an increase in one of them, the other decreases, and vice versa. In fact, this is one of the examples of the implementation of the general scientific law of conservation (of matter, energy, information). In this case, the discovered effects can be interpreted from the position of the law of conservation of information. The article also presents assessments of the spatio-temporal specificity of the risks of road traffic accidents. Based on the results of the studies, a conclusion was made about the need to use fundamentally different approaches in road safety technologies in various cities of the country, taking into account the specificity of the accident risk. Further research in the area of studying the specifics of accident risks can be aimed both at expanding the number of objects of study (i.e. devoted to the study of accident risks in Russian cities with a smaller or larger population), and at studying the relationship between accident risks and the most important factors of a large complex system «Person – Car – Road – Environment» (CCRE).

Abstract Every year, millions die in road accidents globally, imposing significant economic and humanitarian costs. While road traffic accidents are a major health concern, many developing countries, including Ethiopia, struggle to address this issue effectively. Ethiopia ranks second in East Africa for severe road traffic accidents, highlighting the need for improved injury reduction strategies. This study introduces a novel approach by chronologically identifying and prioritizing accident black spots in the studied area, Ethiopia. This method provides a valuable tool for transportation authorities and traffic police to target high-risk areas for immediate intervention. Focusing on the Dembecha-Injibara highway segment, the study employs both descriptive and inferential analyses, using the Zegeer method to calculate accident rates. It also uses factors of weight contributing to road traffic accidents and their severity to rank accident-prone areas. The findings reveal that areas near Finote Selam, Banja, and Burie are highly prone to severe accidents, with specific accident frequencies and priority values identified. Recommendations are offered to address these high-risk areas and mitigate severe traffic accidents in the study region.

Abstract Background Road traffic accidents (RTAs) are a pressing public health issue in Ethiopia, exacerbated by rapid urbanization and motorization. Despite efforts, escalating rates persist due to various factors like human behavior and road infrastructure deficiencies. This study addresses the need for comprehensive data on RTAs in Ethiopia, aiming to uncover socioeconomic and behavioral factors to inform evidence-based policies. Methods A systematic review and meta-analysis were conducted from March to April 2024, adhering to PRISMA guidelines. Major databases like Google Scholar, PubMed, and the Cochrane Library were searched using specific keywords related to RTAs and Ethiopia. Studies conducted between 2014 and 2024 were included, with eligibility criteria. Data extraction followed a standardized Microsoft Excel format. Study quality was assessed using the JBI checklist, with high-quality articles included. Statistical analysis, conducted using STATA version 17, included descriptive analysis, forest plots for RTA prevalence, and examination of publication bias using Egger and Begs tests. Subgroup analysis and meta-regression explored moderating factors and sources of heterogeneity. Results The systematic review identified eight studies meeting inclusion criteria, conducted between 2014 and 2022. RTA prevalence was 36% (95% CI: 23; 49). Sensitivity analysis confirmed the robustness of the estimated prevalence. Publication bias was detected via Egger’s test, though Begg’s test was non-significant. Meta-regression found no significant influence of publication year or sample size on RTA prevalence. Socioeconomic factors like income level and driving experience, alongside behavioral factors like traffic rule violations and substance use, were identified as key drivers of RTAs in Ethiopia. Conclusions The study highlights the significant burden of road traffic accidents in Ethiopia, influenced by socioeconomic and behavioral factors. Socioeconomic factors such as income level and driving experience, along with behavioral factors like traffic rule violations and substance use, emerged as prominent determinants of RTAs. Policymakers should prioritize evidence-based interventions targeting these factors to improve road safety nationwide.

Introduction: Road traffic injuries are the eighth leading cause of death in India. The Law Commission of India report says that 50% of the victims who died of preventable injuries could have been saved had they received the medical care on time. To protect the people who help road accident victims, Good Samaritan Law was enacted. OBJECTIVES: To assess awareness and knowledge about Good Samaritan Law among the general literate population and to assess the impact of awareness session on awareness score. Methods: In this cross-sectional study, adult participants of either gender, literate enough to read and comprehend the material provided, were included in the study through either an electronic or written informed consent process. The participants were asked to complete a questionnaire, watch/read the awareness video/material provided, and then complete the post-awareness session questionnaire. The participants were divided into the aware and unaware groups for further assessment of pre-awareness scores. The pre- and post-awareness session scores were compared in the participants using paired-t-test. Results: In this study, 379 participants gave consent for participation; however, only 288 participants attempted the post-awareness questionnaire. The mean pre-awareness session score was significantly higher in the aware group (8.5) as compared to the unaware group (5.6). The pre-awareness scores were significantly high in doctors as compared to medical students in the aware group and as compared to medical students, graduates, teachers, and general public in the unaware group. Post-awareness session scores (9.2 ± 2.8) were observed to be significantly higher (p < 0.001) than pre-awareness session scores (6.4 ± 3.4). Conclusion: In this study, it was observed that the percentage of participants who were aware of the law was less. It demonstrated the impact of awareness session on increasing GSL awareness score in participants. These findings indicate the need of awareness programs to transform bystanders into good samaritans.

Background and Objectives: Thoracic trauma in children is increasing due to rising population, industrialization, modernization, increase in vehicular traffic, terrorist activities, and riots. It requires more caution because of its associated morbidity and mortality. This study is done to know the prognostic factors and outcome of thoracic trauma in children, which helps in decreasing morbidity and mortality. Materials and Methods: This retrospective observational study was conducted from November 2016 to October 2022. Retrospectively, records of all the pediatric patients

Problem. The functioning of road transport in regions of long-term armed conflicts is associated with additional risks for road traffic safety. The degree of influence of additional risk factors can be investigated by analyzing traffic accident statistics in such a region. Goal. The purpose of the work is to study the impact of martial law conditions on road safety indicators in the Kharkiv region of Ukraine by comparing statistical data on accidents and road deaths due to road accidents. Methodology. To achieve the goal, the work uses methods of statistical analysis of data and construction of trends, methods of determining relative indicators of the severity of road accidents. Results. As a result of the analysis of statistical data on road accidents in the Kharkiv region, the distribution of accident rates for the period from 2019 to 2023 was obtained, which made it possible to reveal their significant differences during the period of martial law compared to previous periods. In particular, it was established that with a decrease in the total number of road accidents, there was an increase in the severity of the consequences of road accidents. This regularity was confirmed by analyzing the relative indicators of road accident severity. The identified differences in accident and death rates on the roads of the Kharkiv region in 2023 compared to the periods before the start of hostilities indicate a change in road traffic conditions. Originality. The paper investigated the impact of martial law conditions on road safety on the example of the Kharkiv region of Ukraine. As a result, the degree of influence of the risk factors that arose as a result of the deployment of the armed conflict on the increase in the level of danger for road users was established. Practical value. The obtained results can be used for planning and implementation of measures to ensure traffic safety on highways in regions that are the zone of long-term armed conflicts.

Abstract Background Road traffic accidents(RTA) are a major public health problem worldwide, accounting for almost 1.24 million deaths per year and it is the number one cause of death among those aged group 15–29 years. Even though there are great benefits from access to road transportation there also poses a great challenge in the individual’s daily activities ranging from minor injury to death. Objective This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022. Methods A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of

ABSTRACT Background Methodology Results Conclusion Road traffic accidents have significantly impacted public health in Vietnam. This study investigated the patterns of midface fractures in Vietnam and their correlation with road traffic accidents in the country.This retrospective cross‐sectional study reviewed 2187 medical records of patients with midface fractures in Ho Chi Minh City. After applying exclusion criteria, the fractures were categorized. Statistical analyses, including chi‐squared and logistic regression, were conducted to identify associations and relationships among the types and causes of fractures.The study found that 89.3% of midface fractures stemmed from road traffic accidents, with 55.2% and 14.4% zygomatic complex fractures and Le Fort type II fractures, respectively. Adults aged 19–39 accounted for 65.1% of patients, with males at 80.5%. Traffic accidents were significantly associated with an 18.7 times higher risk of concomitant mandibular fractures and a 10.5 times higher risk of Le Fort type II fractures, irrespective of age and gender.This study underscores the need for targeted prevention strategies to decrease the incidence of maxillofacial injuries resulting from road traffic accidents in Vietnam, particularly among high‐risk groups such as males and young adults. [ABSTRACT FROM AUTHOR]

ABSTRACT: Introduction: Road traffic injuries are the eighth leading cause of death in India. The Law Commission of India report says that 50% of the victims who died of preventable injuries could have been saved had they received the medical care on time. To protect the people who help road accident victims, Good Samaritan Law was enacted. Objectives: To assess awareness and knowledge about Good Samaritan Law among the general literate population and to assess the impact of awareness session on awareness score. Methods: In this cross-sectional study, adult participants of either gender, literate enough to read and comprehend the material provided, were included in the study through either an electronic or written informed consent process. The participants were asked to complete a questionnaire, watch/read the awareness video/material provided, and then complete the post-awareness session questionnaire. The participants were divided into the aware and unaware groups for further assessment of pre-awareness scores. The pre- and post-awareness session scores were compared in the participants using paired-t-test. Results: In this study, 379 participants gave consent for participation; however, only 288 participants attempted the post-awareness questionnaire. The mean pre-awareness session score was significantly higher in the aware group (8.5) as compared to the unaware group (5.6). The pre-awareness scores were significantly high in doctors as compared to medical students in the aware group and as compared to medical students, graduates, teachers, and general public in the unaware group. Post-awareness session scores (9.2 ± 2.8) were observed to be significantly higher (p < 0.001) than pre-awareness session scores (6.4 ± 3.4). Conclusion: In this study, it was observed that the percentage of participants who were aware of the law was less. It demonstrated the impact of awareness session on increasing GSL awareness score in participants. These findings indicate the need of awareness programs to transform bystanders into good samaritans. [ABSTRACT FROM AUTHOR]

Contrecoup brain injury refers to the classical opposite of the primary impact. Tamil Nadu has the highest rate of road traffic accident in India. Madurai has peak mortality due to accidents in India. Previous studies done on contrecoup head injury had shown patterns of injuries and mechanism of injury. Outcome and management of only occipitofrontal contrecoup head injury has been taken in this study. Mortality in this specific group is very high. Seventy-six patients of this specific head injury were admitted at Government Rajaji Hospital, Madurai. Patients were assessed for Glasgow coma scale (GCS), age, sex, progression of volume, mortality, traumatic brain injury-induced coagulopathy, and pillion rider outcome. Fourteen patients were surgically treated by decompressive craniectomy. Conservative management was done by antiepileptic and antiedema measures. Mostly affected were males (n = 54) followed by females (n = 22). GCS on admission mean value 9. In our study, mortality was 32% with sudden death of three patients due to hypothalamic compression. Hospital stay of the patient was significantly increased with progression of lesion with mean 9 days and p -value less than 0.01. Pillion riders (n = 18) were also affected in our study. Traumatic brain injury-induced coagulopathy (n = 12) was also detected, which was treated by injection tranexamic acid and injection vitamin K, thereby not leading to any death due to coagulopathy with significant p -value less than 0.01. We recommend helmet for both main and pillion rider with strict speeding regulations. [ABSTRACT FROM AUTHOR]

Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key topic of research in road traffic safety. The current study analyzed the driver injury severity (DIS) using twelve machine learning (ML) algorithms. These models were implemented using 0.70, 0.80, and 0.90 train ratios and 5-, 10- and 15-fold cross-validation. Ten years of accident data (from 2011 to 2020) was obtained from police department of Shillong, India. A total of 693 accidents were documented, with 68% being nonfatal and 32% being fatal. Precision, recall, accuracy, F1 score and area under the curve measures were used to compare the performance of all twelve ML models. Overall, the light gradient-boosting machine model was shown to be the best ML model for predicting the injury severities of drivers engaged in road traffic incidents. Finally, variable importance analysis results showed that cause of accident, collision type and types of vehicles were the most influencing factors in nonfatal and fatal driver accidents. The results also revealed that age and gender were slightly associated with DIS. The findings of the current research could be helpful to road safety agencies for the implementation of suitable countermeasures to increase driver safety in road accidents. [ABSTRACT FROM AUTHOR]

To objectively evaluate the road traffic safety levels across different provinces in China, this study investigated the spatiotemporal heterogeneity characteristics of macro factors influencing road traffic accidents. Panel data from 31 provinces in China from 2009 to 2021 were collected, and after data preprocessing, traffic accident data were selected as the dependent variables. Population size, economic level, motorization level, highway mileage, unemployment rate, and passenger volume were selected as explanatory variables. Based on the spatiotemporal non-stationarity testing of traffic accident data, three models, namely, ordinary least squares (OLS), geographically weighted regression (GWR), and geographically and temporally weighted regression (GTWR), were constructed for empirical research. The results showed that the spatiotemporal heterogeneity characterizing the macro factors of traffic accidents could not be ignored. In terms of impact effects, highway mileage, population size, motorization level and passenger volume had positive promoting effects on road traffic accidents, while economic level and unemployment rate mainly exhibited negative inhibitory effects. In terms of impact magnitude, highway mileage had the greatest impact on traffic accidents, followed by population size, motorization level, and passenger volume. Comparatively, the impact magnitude of economic level and unemployment rate was relatively small. The conclusions were aimed at contributing to the objective evaluation of road traffic safety levels in different provinces and providing a basis for the formulation of reasonable macro traffic safety planning and management decisions. The findings offer valuable insights that can be used to optimize regional traffic safety policies and strategies, thereby enhancing road safety. [ABSTRACT FROM AUTHOR]

Introduction: Road Traffic Accidents (RTAs) are the leading cause of premature death in young people aged 5–29. Globally, 186,300 children aged 9 years and under die from RTAs each year. Romania had the highest mortality rate in children aged 0 to 14 for 2018–2020. This study aimed to assess the involvement of children aged 0–17 years in fatal RTAs by analyzing medico-legal autopsy records in a 5-year period at Timisoara Institute of Legal Medicine (TILM), Romania. Materials and Methods: A retrospective analysis of medico-legal autopsy records of road fatalities in children aged 0–17 years, from TILM in a 5-year period (2017–2021), was conducted. Results: Of all medico-legal autopsies in the 5-year period, 23 cases (5.8%) involved road fatalities in children aged 17 and under. Preschoolers accounted for 10 cases, followed by the age group 15–17 years (n = 9). Most children sustained fatal injuries as passengers (n = 13), followed by child pedestrians (n = 7). This research follows four representative cases, each being a different type of child road fatality regarding the type of road user, the age of the victim, and the involvement of other risk factors. Conclusions: Our findings emphasize the tragedy of road fatalities in children and the need to determine risk factors and prevention strategies to reduce the enormous global crisis involving these vulnerable victims. [ABSTRACT FROM AUTHOR]

The accurate duration prediction of road traffic accident is crucial for ensuring the safe and efficiency of transportation within social road networks. Such predictive capabilities provide significant support for informed decision-making by transportation administrators while also offering new technological support for the sustainable development of modern road networks. This study introduced a novel predictive model for road traffic accident duration, integrating a Conditional Table Generative Adversarial Network (CTGAN) with a transformer architecture. We initially utilized CTGAN to augment and refine the historical accident dataset. Subsequently, we implemented a wavelet denoising technique to cleanse the expanded dataset. The core of our model lies in the application of the transformer mechanism, which was trained to forecast the accident duration with high precision. To prove the effectiveness of our proposed model, a series of comparative experiments were designed and executed. The experimental results show that the prediction error of CTGAN-Tr for accident duration in the accident area could reach below 0.8. Compared with other models, the MAE of CTGAN-Tr was reduced by 0.31 compared with GRU, and the correlation coefficient was increased by 0.2 compared with TCN. At the same time, the model can show excellent performance in the other two accident areas. The results of these experiments not only substantiate the performance of our model but also demonstrate its robustness and generalizability when applied to traffic accident data from other regions. [ABSTRACT FROM AUTHOR]

INTRODUCTION In recent years, road accidents and injuries have grown to be a major worldwide epidemic and the leading cause of death for younger people in the 15-29 age range. According to the “Ministry of Road Transport and Highways GOI” report 2022, there were 461312 incidences of road accidents in India during 2022, which claimed 168491 lives and caused injuries to 443366 persons. Amongst the States, Madhya Pradesh recorded the second highest number of road accidents (48,877), i.e., 11.8%, in 2021. This study aims to assess the knowledge, attitude, and practice of road safety measures among undergraduate medical students in a tertiary health care center in Central India.METHODOLOGY A cross-sectional study was conducted among 180 undergraduate medical students (i.e., 45 from the first professional, 45 from the second professional, 45 from the pre-final, & 45 from the final year) at Government Bundelkhand Medical College, Sagar (M.P.) during the period from October 2023 to November 2023. The sampling was done using the stratified random sampling method. Using a pre-designed questionnaire to assess the knowledge, attitude, and practice of road safety measures. The collected data was analyzed using IBM SPSS version 26.0 (IBM Corp., Armonk, NY). The statistical analysis was done using relevant statistical tests. RESULTS The present study was conducted among 180 study participants, of whom 119 (66.1%) were in the 21-25 age group. Most of them were males, 106 (58.9%). The overall knowledge was adequate (81.5%) among study participants, and a good attitude towards road safety measures was exhibited by 98.7% of the study participants. The distribution of practice among study participants showed that only 27.2% always used helmets & 24.4% always used seatbelts. While driving a vehicle, 42.2% of study participants always used an indicator while turning onto the road. CONCLUSION The present study showed that overall knowledge regarding road safety was good. Most of the study participants had a favorable attitude towards road safety measures. However, knowledge is not being put into practice, which calls for more enforcement of the law, increased IEC activity, and incentives to put knowledge into effect. [ABSTRACT FROM AUTHOR]

Background: Road traffic accidents(RTA) are a major public health problem worldwide, accounting for almost 1.24 million deaths per year and it is the number one cause of death among those aged group 15–29 years. Even though there are great benefits from access to road transportation there also poses a great challenge in the individual's daily activities ranging from minor injury to death. Objective: This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022. Methods: A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of < 0.05 with an adjusted odds ratio (AOR) and a 95% confidence interval (CI) in the final multinomial logistic regression model. Results: The magnitude of road traffic accidents was 59%, using of logistic multi nominal logistic regression we found results such that, road traffic victims who had unstable vital signs at admission (AOR = 6.4,95% CI; 2.5–16.6), didn't get prehospital treatment (AOR = 9.3,95% CI; 4–20), and severe injury (AOR = 9, 95% CI;7-15.4), had a Glasgow coma scale of 3–5 (AOR = 5.2,95% CI; 1.4–20) were found predictors for death were as unstable vital signs at admission (AOR = 3.79,95%CI;2.1–6.8), Doesn't get prehospital treatment (AOR = 2.8, 95% CI; 1.4–5.7), Hospital stay for one to two months duration (AOR = 6,95% CI;2.3–15), and greater than two months duration (AOR = 6.5,95%CI;2.5–17) were found predictors for disability among road traffic victims. Conclusions and recommendations: Road traffic accidents constitute a major public health problem in our setting and contribute significantly to excessively high morbidity and mortality. Unstable vital signs at admission, Client doesn't get prehospital treatment, severely injured client, and had a Glasgow coma scale of 3–5 were found predictors for death were as an unstable vital sign at admission, Client doesn't get pre-hospital treatment, Hospital stays for one to two months duration, and greater than two months duration were found predictors for disability among road traffic victims. [ABSTRACT FROM AUTHOR]

Background: Road traffic accidents (RTA) are major causes for morbidity, mortality and disability among all age group and people of all socioeconomic status. Considering the increased number of people using motorized vehicle leading to rise in road traffic accidents, our cross-sectional study conducted in a tertiary care hospital in northern Karnataka, India Materials and Methods: A pre-designed semi-structured questionnaire for duration of six months aimed to study the socio demographic profile of road traffic injury victims, to find the antecedent factors influencing the road traffic accidents and also to study the pattern of injury in victims. Results: Total of 516 patients were included in the study. In our study we have found that human error is the most common factor responsible for accident 43.4% followed by drunk and drive 30.6% and most of the accidents occurred in highway 21.1% and drivers are most commonly the victims of accident 69.2%. We have also found that skid is the most common manner of accident. It is very alarming to see that only 33.7% of the participants had valid driving licence. Also, among the people who rode two-wheeler only 7% wore helmet and among persons who drew four-wheeler only 10% wore seat belt. Conclusion: Most participants were male (86%), mostly from rural areas (70.3%), and lived with their families (88%). The findings highlight the need for better road safety measures, stricter traffic regulations, increased public awareness, and improved infrastructure to reduce road traffic accidents [ABSTRACT FROM AUTHOR]

The global prevalence of two-wheelers is experiencing a notable surge, particularly evident in developing countries, attributed to their economical price points and widespread accessibility. Their compact dimensions, manoeuvrability, and user-friendly nature have solidified their status as among the most prevalent forms of transportation worldwide. In the context of this study, we undertook a comprehensive examination of spinal injuries observed in post-mortem assessments of individuals involved in motorized two-wheeler accidents. Our findings underscore a significant trend: cervical spine injuries emerge as the most prevalent type of injury across both helmeted and non-helmeted riders. This analysis sheds light on the critical importance of understanding the specific injury patterns associated with two-wheeler accidents, serving as a foundational resource for informing public policy initiatives aimed at enhancing safety measures and mitigating the risks associated with this increasingly prevalent mode of transportation. By elucidating the prevalence and characteristics of spinal injuries in such incidents, this research contributes valuable insights towards fostering safer road environments and reducing the toll of two-wheeler accidents on individuals and communities worldwide. It is intended that the data provided by this study would serve to cover the information gap in this area and contribute to known facts, facilitating policy planning and guiding necessary measures. [ABSTRACT FROM AUTHOR]

Background: Road traffic accident is one of the major avoidable public health problems and is on the rise which can be attributed to increase in the number of vehicles, daily life changes, nasty tendency of violating traffic rules, anarchic traffic system and risky approach. It is a matter of national concern, in view of its extent and gravity and the subsequent negative impacts on the economy, public health and the general wellbeing of the people. The aim of this study was to know the pattern of injuries in victims of fatal road traffic accidents. Material & Method: The present study was a prospective, cross-sectional study. The study was conducted at the tertiary healthcare centre in southern Haryana. Total of 75 cases of fatal road traffic accident cases were enrolled during one year of study period. The basic information about the deceased like age, gender, mode of travel of victim was obtained from investigating officer narration and inquest papers. During autopsy, detailed examination of injuries was carried out and the autopsy findings were recorded and analyzed. Results: It was observed that out of 75 cases male outnumbered female in ratio 5.25:1. Majority of the victims belonged to age group 21-30 year (26.7%). Among the external injuries, abrasions were most common followed by lacerations. It was also observed that majority of the victims had intracranial hemorrhage (60%) followed by rib fracture (41.3%) and 17.3% of the victims had pelvis fracture. Conclusion: From the present study it was concluded that road traffic accidents were more common in the younger age group and two wheeler occupants followed by pedestrians were most vulnerable to road traffic accidents. [ABSTRACT FROM AUTHOR]

Road traffic accidents (RTAs) are the leading cause of maxillofacial injuries (MFIs) in all developing countries.[1] Road traffic accidents were found to be the 9th most prevalent cause of death and morbidity around the globe. [2] Maxillofacial injuries continue to be a severe clinical problem due to their involvement of a complex anatomic region. Injuries to the bones, teeth, and soft tissues of the face result from trauma to the face.[3] Facial fractures are more common in males in third decade of life. RTA was primarily caused by motorbike accidents. After the age of 20, the tendency of MFIs, particularly those involving Motor bikes, have increased. Anatomically, the lower 1/3 of the face was more prone to damage. Mandibular fractures were the most prevalent isolated fractures among MFI patients.[4] The prevalence and patterns of maxillofacial injuries differ by nation, depending on demographic, socioeconomic, cultural, and environmental variables. Wearing a helmet is an effective type of head protection for two-wheeler drivers, and it has grown mandatory in the majority of nations. [5] For severe, comminuted, and displaced facial fractures, the preferred choice of treatment was open reduction and internal fixation (ORIF) with screws and plates. It is usually managed by a multidisciplinary team, but optimal results need an understanding of anatomy, the musculoskeletal system, and occlusion.[5] In this article, we present a case report of patient with ZMC complex fracture of 3 weeks old duration due to road traffic accident which was presented and surgically managed. [ABSTRACT FROM AUTHOR]

Background: Globally, road traffic accidents cause around 50 million injuries and disabilities and close to 1.35 million deaths every year. In Ethiopia, approximately five thousand deaths are estimated to occur annually due to road traffic accidents. However, there is limited data on the precise burden of the problem in Ethiopia. This study aimed to assess the magnitude of road traffic accidents and associated factors among traumatized patients who visited the emergency units of selected public hospitals in Addis Ababa, Ethiopia. Methods: A facility-based cross-sectional study design was conducted on 381 trauma patients who visited the emergency department of three public hospitals in Addis Ababa between June 1 and July 12, 2022. The data were collected using a structured questionnaire, entered into Epi-data, and exported to SPSS for statistical analysis. A logistic regression model was used to identify factors contributing to road traffic accidents at a significant level of P < 0.05. Results: The majority of participants were males (73.5%), between 20 and 39 years old (65.1%), and married (45.7%). The prevalence of road traffic accidents among traumatized patients was 37.3% (95% CI: 32.5, 42.3) in public hospitals in Addis Ababa. After adjusting for potential confounders, being male [AOR (95% CI) = 2.77 (1.6, 4.8)], traveling in the afternoon [AOR (95% CI) = 0.6 (0.3, 0.9)], and alcohol-drinking before travel [AOR (95% CI) = 2.50 (1.6, 4.0)] were factors contributing to road traffic accidents. Conclusion: The prevalence of road traffic accidents was very high in Addis Ababa public hospitals. Being male, traveling in the afternoon, and drinking alcohol before travel were significantly associated with an increased risk of road traffic accidents. Community awareness creation, strict traffic flow control in the morning, and alcohol breath tests will ultimately decrease road traffic accidents. In the meantime, expansion and strengthening of pre-hospital care and post-crash trauma care services. [ABSTRACT FROM AUTHOR]

The increasing trend in road traffic accidents (RTAs) has remained a concern that seems to defy solutions over the years. A major strategy for reducing RTAs is road user education, which uses campaigns and enlightenment programmes. However, the effectiveness of road user education in curtailing the trend of RTAs is faced with several challenges. This study examines the challenges to the effectiveness of road user education in reducing the trend of RTAs in Nigeria. The data for the study were collected with a well-designed questionnaire administered randomly to respondents. The questionnaire presented twelve (12) statements in a 5-point Likert scale for the respondents to rank in order of significance to identify the most significant challenges to road user education. The data collected were subjected to exploratory factor analysis to reduce the items to the most significant challenges facing effective road user education. The study identified institutional, participatory and funding as the most significant challenges confronting effective road user education in Nigeria. The study provides insight into the approach that can enhance the effectiveness of road user education by improving institutional policies, road user behaviour and external sources of funding.

Introduction: Several studies suggest a causal link between psychoactive agents and motor vehicle accidents (MVA). This study aimed to evaluate the impact of substance abuse and alcohol intoxication on the prognosis of high-speed MVA victims. Methods: This is a single-center retrospective cross-sectional study involving adult multiple trauma cases who were admitted to the emergency department for high-speed MVA and underwent toxicological screening. The cohort was conducted based on two main outcomes; the survival status and the neurological outcomes. Results: 894 patients with the mean age of 27.8 ± 9.24 (range:18-37) years were studied (97.9% male). The most common indicators of severity were car rollover and ejection from the car. 296 of the patients had severe traumatic brain injury (TBI). 622 of the patients had a positive toxicological screening, with benzodiazepines (51.2%) and alcohol (26.6%) being the most commonly abused substances. The mortality rate was 5.8% and 12.1% of the patients had unfavorable neurological outcomes upon discharge. On multivariate logistic regression, predictors of mortality among high-speed MVA victims were report of a death at the scene (adjusted odds ratio (aOR): 2.529; 95% confidence interval (CI): 1.026-6.232; p = 0.044), severe TBI, the presence of dilated pupils (aOR: 11.074; 95% CI: 1.293-94.812; p = 0.028), hypotension (aOR: 0.456; 95% CI: 0.227-0.916; p = 0.027), and hypoxia (aOR: 2.95; 95% CI: 1.46-5.95; p = 0.003). Predictors of unfavorable neurological outcomes were report of a death at the scene (aOR: 3.133; 95% CI: 1.445-6.791; p = 0.004), positive toxicology screening (aOR: 3.30; 95% CI:1.68-10.204; p = 0.038), severe TBI, the presence of hypoxia (aOR: 2.96; 95% CI:1.645-5.319; p = 0.000), hypotension (aOR: 0.437; 95% CI: 0.252-0.758; p = 0.003), and bleeding (aOR: 0.287; 95% CI: 0.164-0.501; p < 0.001). Conclusion: A concerning proportion of high-speed MVA victims had a positive toxicology screening. Although intoxication did not increase mortality of high-speed MVAs, it was a significant predictor of unfavorable neurological outcomes of survivors.