Profile of ocular injuries amongst various trauma patients presenting to tertiary care centre of Punjab

To study the epidemiology and clinical profile of ocular trauma patients presenting to tertiary care centre. Prospective study. All patients of ocular trauma in OPD/Emergency were assessed for detail between 1/1/17 to 31/6/18 and data on demographic profile was established as per guidelines of Ocular Trauma Society of India. Patients were categorized in different segments and assessed/followed for visual impairment in particular. A total of 246 cases were examined out of which 87% were males. The most common mode of ocular injury was Road Traffic Accidents. Pediatric eye trauma constituted 16.7% of the total cases. 26.8% cases arrived to our centre between 4-24 hours and 62.6% cases presented after 24 hours. Amongst 131 cases of Road Traffic Accidents, none of them were using protective measures like helmets or goggles. Of these, 17.1% were under the influence of alcohol. 28.5% were involved in medicolegal proceedings. Majority of the cases comprised of monocular trauma (78.1%). Closed globe injuries constituted 88.94% of the total cases of which most cases presented with lid edema and ecchymosis. Chemical injuries were reported in 4.5% cases. 9 patients lost vision completely and 71 cases had vision from light perception to 6/18. Ocular trauma is one of the common causes of ocular morbidity. It has been seen predominantly in male population. Public needs to be educated about safety measurements and education about prompt need to specialised care to reduce ocular trauma related visual morbidity.

Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents

Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent years, there has been a growing global interest in analysing RTAs, specifically concerned with analysing and modelling accident data to better understand and assess the causes and effects of accidents. This study analysed the performance of widely used machine learning classifiers using a real-life RTA dataset from Gauteng, South Africa. The study aimed to assess prediction model designs for RTAs to assist transport authorities and policymakers. It considered classifiers such as naïve Bayes, logistic regression, k-nearest neighbour, AdaBoost, support vector machine, random forest, and five missing data methods. These classifiers were evaluated using five evaluation metrics: accuracy, root-mean-square error, precision, recall, and receiver operating characteristic curves. Furthermore, the assessment involved parameter adjustment and incorporated dimensionality reduction techniques. The empirical results and analyses show that the RF classifier, combined with multiple imputations by chained equations, yielded the best performance when compared with the other combinations.

COMPARATIVE ANALYSIS OF ROAD TRANSPORTATION INCIDENTS IN IRKUTSK REGION AND RUSSIA

The article analyzes the indicators of road traffic accidents for 2020 in the Irkutsk region and Russia. The main reasons for the implementation of road accidents are identified. The current state of road safety has been analyzed within the framework of the Safe and High-Quality Roads Project. An excess of the actual values of social and transport risks was established by 1.19 and 1.38 times the corresponding Russian indicators

An Analysis of Aetiology, Pattern and Outcome of Head Injury in Trauma Patients

Background: Head injury is considered as a major health problem in developed and developing nations. Analysis of etiology, patterns, and outcome of head injury in trauma patient is essential for understanding and planning for better management. Materials and Methods: The prospective observational study carried out among patients who presented with head injury at the tertiary care hospital, Mumbai from July 2015 to July 2017. Demographic details recorded were age, sex, blood pressure on arrival, Glasgow Coma Scale (GCS) score, the interval between injury and admission, associated injury, co-morbidities, hospital stay, and outcome. Results: The age group at which maximum patients of head injury were admitted was 18-29 years (31%) followed by 40-49 years (21%). Eighty one percent patients were males and 19% patients were females, the male to female ratio being 4:1. Road traffic accidents (36% cases) were the commonest cause leading to acute head injury followed by accidental fall (21% cases). 47% patients presented with mild head injury according to GCS. Conclusion: Head injuries mainly caused by vehicular accidents and affect mainly the young men. Road traffic accidents were the commonest mode of head injury, but railway accident had the worst outcome in our study. Factors associated with outcome were Pre-hospital delay, GCS on arrival, Blood pressure on arrival, Associated injury, Need for ventilator support, CT scan findings.

Ensuring transport safety by police authorities and units of member states of the European Union

Police authorities and units are a separate link in the system of ensuring all levels of national security, including a transport one. Globalization, technological progress and urbanization are leading to an increase in vehicular transports and freight carriage, which makes it necessary to ensure transport safety. The purpose of the academic paper is as follows: to identify the factors that affect transport safety and the impact of police authorities and units of the European Union on transport safety. In order to achieve the purpose outlined the following methods have been used, namely: statistical analysis, correlation, factor analysis, generalization and analogy. It has been established that there is a positive interrelationship between the number of police officers, the number of road traffic accidents and the number of casualties on the road in Cyprus. A negative interrelationship has been proved between the number of police officers and the number of road traffic accidents in Germany, Finland, Greece, Belgium and Sweden. The positive interdependence has been revealed between the number of police officers and casualties of road traffic accidents in Cyprus, Germany, Finland, and a negative interdependence in Greece, Belgium, Sweden. It has been found that there is a low level of interdependence between the number of cars and the number of road traffic accidents in Sweden and Germany, a negative interrelationship in Cyprus, Greece, Belgium and Finland. Factors influencing transport safety have been established, namely: legislative regulation, level of introduction of innovative digital technologies, transport infrastructure, geographical location, length of roads, psychophysical factors of drivers, social ones. It has been proved that police authorities and units, taking into account other factors that affect transport safety, do not sufficiently ensure transport safety in the European Union