Análisis de la distribución espacial de los accidentes de transporte terrestre atendidos por el Servicio Móvil de Urgencia (SAMU-192), en un municipio de la región nordeste de Brasil / Analysis of the spatial distribution of road accidents attended by the Mobile Emergency Service (SAMU-192) in a municipality of northeastern Brazil
Salud colect
; 14(1): 65-75, mar. 2018. tab, graf
Article
in Spanish
| LILACS
| ID: biblio-962402
Responsible library:
BR1.1
RESUMEN
RESUMEN Se describen las características epidemiológicas de las víctimas de accidentes de transporte terrestre atendidas por el Servicio Móvil de Urgencia (SAMU-192) y se localizan las áreas de mayor densidad de accidentes en el municipio de Olinda (Pernambuco, Brasil). Se empleó la estimación de densidad kernel para la detección de aglomerados espaciales de accidentes. En 2015 se registraron 724 accidentes. El 73,48% de las personas afectadas fueron del sexo masculino, y de entre 20 y 39 años de edad. Hubo un predominio de los accidentes con motocicletas (54,97%). Los aglomerados de accidentes se localizaron en las principales vías de tránsito y, los atropellamientos, cercanos a las terminales de ómnibus. El análisis espacial se mostró como un instrumento relevante para la identificación de los aglomerados de accidentes y una aplicación eficaz de las medidas de prevención y la mejora en la seguridad del tránsito vehicular.
ABSTRACT
ABSTRACT This study describes the epidemiological characteristics of road accident victims attended by the Brazilian Mobile Emergency Service (SAMU-192) and located in the areas of highest accident density in the municipality of Olinda, (Pernambuco, Brazil). Kernel density estimation was used to detect spatial agglomerations of accidents. In 2015, 724 accidents occurred; of these, 73.48% of the victims were males aged 20-39 years. There was a predominance of accidents involving motorcycles (54.97%). Accident clusters were detected in the main traffic corridors, with run-over accidents located near bus terminals. Spatial analysis proved to be a relevant instrument for the identification of accident clusters and the application of effective prevention and traffic safety improvement measures.
Full text:
Available
Collection:
International databases
Health context:
SDG3 - Health and Well-Being
/
SDG3 - Target 3.6 Reduce deaths and the trauma caused by road accidents
Health problem:
Target 3.6: Reduce deaths and the trauma caused by road accidents
/
Post-crash Response
Database:
LILACS
Main subject:
Wounds and Injuries
/
Accidents, Traffic
/
Emergency Medical Services
Type of study:
Etiology study
/
Observational study
/
Prevalence study
/
Prognostic study
/
Risk factors
Limits:
Adolescent
/
Adult
/
Aged
/
Aged, 80 and over
/
Child
/
Child, preschool
/
Female
/
Humans
/
Infant
/
Male
Country/Region as subject:
South America
/
Brazil
Language:
Spanish
Journal:
Salud colect
Journal subject:
Medicina Social
/
Sa£de P£blica
Year:
2018
Document type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Fundação de Ensino Superior de Olinda/BR
/
Secretaria de Saúde/BR
/
Universidade Federal de Pernambuco/BR
/
Universidade de Pernambuco/BR