Feasibility of developing training programs designed to improve deficient driver factors. Volume II: identifying accident avoidance behaviors: a guide for accident investigators. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Pedestrian accidents occurring on freeways: an investigation of causative factors, accident data collection and analysis. Volume III: appendixes. Final report, phases III and IV.

Federal Highway Administration, Washington, D.C.

Pedestrian accidents occurring on freeways: an investigation of causative factors, accident data collection and analysis. Volume I: executive summary. Final report, phases III and IV.

Federal Highway Administration, Washington, D.C.

Pedestrian accidents occurring on freeways: an investigation of causative factors, accident data collection and analysis. Volume II. Final report, phases III and IV.

Federal Highway Administration, Washington, D.C.

Causative factors and countermeasures for rural and suburban pedestrian accidents: accident data collection and analysis - appendices. Phase I and II.

Federal Highway Administration, Washington, D.C.

Causative factors and countermeasures for rural and suburban pedestrian accidents: accident data collection and analysis. Phases I and II.

Transportation Department, Washington, D.C.

A study of bicycle/motor-vehicle accidents: identification of problem types and countermeasure approaches. Volume 1--text. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

A study of bicycle/motor-vehicle accidents: identification of problem types and countermeasure approaches. Volume 2--appendices A-D. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Accident cause analysis. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Summary of 1968-70 multidisciplinary accident investigation reports: Volume 2 of 2.

Mode of access: Internet.

Georeferencing Road Accidents with Google Earth: Transforming Information into Knowledge for Decision Support

Over the last fifty years mobility practices have changed dramatically, improving the way travel takes place, the time it takes but also on matters like road safety and prevention. High mortality caused by high accident levels has reached untenable levels. But the research into road mortality stayed limited to comparative statistical exercises which go no further than defining accident types. In terms of sharing information and mapping accidents, little progress has been mad, aside from the normal publication of figures, either through simplistic tables or web pages. With considerable technological advances on geographical information technologies, research and development stayed rather static with only a few good examples on dynamic mapping. The use of Global Positioning System (GPS) devices as normal equipments on automobile industry resulted in a more dynamic mobility patterns but also with higher degrees of uncertainty on road traffic. This paper describes a road accident georeferencing project for the Lisbon District involving fatalities and serious injuries during 2007. In the initial phase, individual information summaries were compiled giving information on accidents and its majour characteristics, collected by the security forces: the Public Safety Police Force (Polícia de Segurança Pública - PSP) and the National Guard (Guarda Nacional Republicana - GNR). The Google Earth platform was used to georeference the information in order to inform the public and the authorities of the accident locations, the nature of the location, and the causes and consequences of the accidents. This paper also gives future insights about augmented reality technologies, considered crucial to advances to road safety and prevention studies. At the end, this exercise could be considered a success because of numerous consequences, as for stakeholders who decide what to do but also for the public awareness to the problem of road mortality.

An epidemiological evaluation of pediatric long bone fractures - a retrospective cohort study of 2716 patients from two Swiss tertiary pediatric hospitals.

BACKGROUND: Children and adolescents are at high risk of sustaining fractures during growth. Therefore, epidemiological assessment is crucial for fracture prevention. The AO Comprehensive Injury Automatic Classifier (AO COIAC) was used to evaluate epidemiological data of pediatric long bone fractures in a large cohort. METHODS: Data from children and adolescents with long bone fractures sustained between 2009 and 2011, treated at either of two tertiary pediatric surgery hospitals in Switzerland, were retrospectively collected. Fractures were classified according to the AO Pediatric Comprehensive Classification of Long Bone Fractures (PCCF). RESULTS: For a total of 2716 patients (60% boys), 2807 accidents with 2840 long bone fractures (59% radius/ulna; 21% humerus; 15% tibia/fibula; 5% femur) were documented. Children's mean age (SD) was 8.2 (4.0) years (6% infants; 26% preschool children; 40% school children; 28% adolescents). Adolescent boys sustained more fractures than girls (p < 0.001). The leading cause of fractures was falls (27%), followed by accidents occurring during leisure activities (25%), at home (14%), on playgrounds (11%), and traffic (11%) and school accidents (8%). There was boy predominance for all accident types except for playground and at home accidents. The distribution of accident types differed according to age classes (p < 0.001). Twenty-six percent of patients were classed as overweight or obese - higher than data published by the WHO for the corresponding ages - with a higher proportion of overweight and obese boys than in the Swiss population (p < 0.0001). CONCLUSION: Overall, differences in the fracture distribution were sex and age related. Overweight and obese patients seemed to be at increased risk of sustaining fractures. Our data give valuable input into future development of prevention strategies. The AO PCCF proved to be useful in epidemiological reporting and analysis of pediatric long bone fractures.

Descripción de los casos de accidentes laborales ocurridos en una empresa manufacturera, 2010 al 2014

Introducción Debido a que los accidentes de origen ocupacional ocupan un lugar importante dentro de las causas de ausentismo, discapacidades y hasta las muertes se realizó la descripción de la accidentalidad, teniendo en cuenta factores como la severidad y tipo de lesión, el tipo de actividad laboral y re accidentalidad ocurrida en una empresa manufacturera en un periodo de 2010 al 2014. Objetivos Establecer la distribución de los accidentes laborales ocurridos en una empresa manufacturera en el periodo de 2010 al 2014 según edad, género, área laboral y tipo de lesión. Materiales y métodos Se realizó un estudio de corte transversal en donde se analizaron las características según los trabajadores y la empresa y se realizaron asociaciones para establecer cuáles eran los factores de riesgo para presentar re accidentalidad. Se tomó una empresa manufacturera del sector de producción de alimentos que cuenta con un total de 950 empleados, en riesgo de presentar accidentes laborales. Se seleccionaron 338 accidentes ocurridos en el periodo de 2010 y 2014.Se realizaron análisis de los accidentes según las variables de: género, área de trabajo y tipo de herida para determinar su distribución según dichos factores. Posteriormente se realizaron análisis bivariado por medio de asociaciones estadísticas usando el estadístico Chi cuadrado y pruebas no paramétricas o paramétricas según la distribución de normalidad de las variables cuantitativas. El programa que se usó para el análisis fue el de SPSS versión 22. Resultados El estudio identificó que la proporción de accidentes durante el periodo estudiado con respecto al número de trabajadores fue de 35,6% y de los 950 trabajadores el 28,8% presentaron accidentes que corresponde a los 274 trabajadores. La mediana de edad fue de 35 años y se presentó más frecuente en mujeres (55,6%). El área laboral en la que se presentaron mayor número de accidentes fue el área de manufactura (75,7%). La proporción de mujeres que presentaban mayor accidentes en el área de manufactura si representó una diferencia de 23,4% con respecto a la proporción de hombres que presentaron mayor accidentes en la misma área. Con respecto al tipo de lesión, se presentaron accidentes frecuentemente en miembros superiores y según el género, las mujeres presentaron 2,02% más accidentes en miembros superiores comparado con los hombres. Los análisis en cuanto a re accidentalidad determinaron que el 16,8% de los trabajadores presentaron más de un accidente y un trabajador presentó 5 accidentes en el periodo de tiempo estudiado en la empresa, la edad se relacionó significativamente con el hecho de presentar re accidentalidad.

An epidemiological evaluation of pediatric long bone fractures - a retrospective cohort study of 2716 patients from two Swiss tertiary pediatric hospitals.

BACKGROUND Children and adolescents are at high risk of sustaining fractures during growth. Therefore, epidemiological assessment is crucial for fracture prevention. The AO Comprehensive Injury Automatic Classifier (AO COIAC) was used to evaluate epidemiological data of pediatric long bone fractures in a large cohort. METHODS Data from children and adolescents with long bone fractures sustained between 2009 and 2011, treated at either of two tertiary pediatric surgery hospitals in Switzerland, were retrospectively collected. Fractures were classified according to the AO Pediatric Comprehensive Classification of Long Bone Fractures (PCCF). RESULTS For a total of 2716 patients (60% boys), 2807 accidents with 2840 long bone fractures (59% radius/ulna; 21% humerus; 15% tibia/fibula; 5% femur) were documented. Children's mean age (SD) was 8.2 (4.0) years (6% infants; 26% preschool children; 40% school children; 28% adolescents). Adolescent boys sustained more fractures than girls (p < 0.001). The leading cause of fractures was falls (27%), followed by accidents occurring during leisure activities (25%), at home (14%), on playgrounds (11%), and traffic (11%) and school accidents (8%). There was boy predominance for all accident types except for playground and at home accidents. The distribution of accident types differed according to age classes (p < 0.001). Twenty-six percent of patients were classed as overweight or obese - higher than data published by the WHO for the corresponding ages - with a higher proportion of overweight and obese boys than in the Swiss population (p < 0.0001). CONCLUSION Overall, differences in the fracture distribution were sex and age related. Overweight and obese patients seemed to be at increased risk of sustaining fractures. Our data give valuable input into future development of prevention strategies. The AO PCCF proved to be useful in epidemiological reporting and analysis of pediatric long bone fractures.

The interurban DRAG-Spain model: the main factors of influence on road accidents in Spain

This paper presents the results of applying DRAG methodology to the identification of the main factors of influence on the number of injury and fatal accidents occurring on Spain’s interurban network. Nineteen independent variables have been included in the model grouped together under ten categories: exposure, infrastructure, weather, drivers, economic variables, vehicle stock, surveillance, speed and legislative measures. Highly interesting conclusions can be reached from the results on the basis of the different effects of a single variable on each of the accident types according to severity. The greatest influence revealed by the results is exposure, which together with inexperienced drivers, speed and an ageing vehicle stock, have a negative effect, while the increased surveillance on roads, the improvement in the technological features of vehicles and the proportion of high capacity networks have a positive effect, since the results obtained show a significant drop in accidents.