This paper deals with geographical and socio-ecological variations of pedestrian and cyclist accidents (n = 1233) among children (less than 15 years) on the Island of Montreal. The model includes variables on each child and his behavior when the accident happened and other temporal and spatial characteristics; environmental and socio-ecological data on the areas in which accidents occurred were also recorded. Descriptive, spatial and comparative analyses show specific patterns of location and occurrence of accidents. Factor analysis identifies the structure of characteristics linked to high accident areas for children's traffic accidents. A strong similarity between zone characteristics emerged from the factor analysis for both types of accident. Only a few census tracts (between 9% to 13%) are high accident areas, but they are very concentrated spatially, and for some of them (2% for pedestrians and 4% for cyclists) the rate is five to eight times higher than for the rest of the urban area. Population structure and density factors contribute 40% of the variation in accident rates. In terms of numbers, fewer children were injured as cyclists than as pedestrians, and more boys than girls are involved in these accidents. Accidents occur under good conditions of visibility and on straight streets. Parked cars in school areas are also a sign of danger. Difficulties in interpreting information on directions and speed of moving vehicles are associated with high accident frequencies, particularly for young pedestrians (6-7 years).
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Sci Rep
January 2025
Key Laboratory of Karst Georesources and Environment, College of Resources and Environmental Engineering, Guizhou University, Ministry of Education, Guizhou University, Guiyang, 550025, China.
Mine water influx is a significant geological hazard during mine development, influenced by various factors such as geological conditions, hydrology, climate, and mining techniques. This phenomenon is characterized by non-linearity and high complexity, leading to frequent water accidents in coal mines. These accidents not only impact coal production quality but also jeopardize the safety of mine staff.
View Article and Find Full Text PDFMed J Malaysia
January 2025
Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Sarawak, Malaysia.
Introduction: Second victim experience (SVE) refers to the emotional and psychological impact experienced by healthcare providers who are involved in patient safety incidents (PSIs). Despite growing awareness of patient safety in healthcare organizations, remedial actions often focus only on the first victim, the patient. Therefore, it is important to recognize and address the emotional and physical toll that PSIs to ensure the well-being of and to promote a culture of safety in healthcare settings.
View Article and Find Full Text PDFAfr J Emerg Med
December 2024
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Background: In Nigeria, trauma care faces challenges due to high injury and death rates from road traffic accidents and violence. Improvements are underway, but gaps in service availability, training, and coordination persist, necessitating evidence-based interventions.
Purpose: To evaluate trauma care practices in Nigeria, focusing on practitioners' perceptions of training, resources, and care quality to inform policy and practice enhancements.
Int J Crit Illn Inj Sci
December 2024
Department of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Background: Train collision accidents are tragic events associated with high mortality. The study aimed to comprehensively describe the clinical-epidemiological profile, disaster emergency response, and management following a train collision accident in Odisha, India.
Methods: This observational study was conducted by a tertiary care hospital in eastern India.
BMC Geriatr
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Background: Existing fall risk assessment tools in clinical settings often lack accuracy. Although an increasing number of fall risk prediction models have been developed for hospitalized older patients in recent years, it remains unclear how useful these models are for clinical practice and future research.
Objectives: To systematically review published studies of fall risk prediction models for hospitalized older adults.
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