Spatial analysis of traffic accidents involving older adults in a city in the northeast of Brazil

• Autor(a) principal: Furtado,Betise Mery Alencar Sousa Macau
• Data de Publicação: 2020
• Outros Autores: Bonfim,Cristine Vieira do, Fernandes,Carmela Lilian Espósito de Alencar, Oliveira,Jacicleide Alves, Silva,Aline Galdino Soares da
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Geriatria e Gerontologia
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232020000600212
• topic: Accidents, Traffic; Health of the Elderly; Prehospital Care; Emergency Medical Services; Spatial Analysis

Abstract Objective: to describe the epidemiological characteristics of traffic accidents involving older victims, responded to by the Mobile Emergency Service (or SAMU), and to analyze the spatial distribution of these events in the city of Olinda, Pernambuco, Brazil, from 2015 to 2018. Method: a composite cross-sectional study was performed, using SAMU service records as a data source. Descriptive statistics were applied, based on frequency distribution. For the mapping and detection of spatial clusters, the Kernel intensity estimator was used. Results: SAMU responded to 137 traffic accidents with older victims. The most affected age group were older adults aged 60 to 69 years (81; 59.1%), and there was a predominance of male victims (90; 65.7%). The day of the week when most accidents occurred was Wednesday (29; 21.25%), and the highest number of accidents occurred in the morning (46; 33.6%). As for the nature of the accident, accidents involving pedestrians (80; 58.4) predominated over collisions (57; 41.6%). The Kernel intensity estimator identified a significant focus in the Peixinhos neighborhood, with other foci distributed throughout the coastal area. Conclusion: the study identified the characteristics of older victims of traffic accidents and areas of greatest risk for their occurrence in the city studied. This information can be useful when planning environmental engineering measures to be carried out in the regions identified, in order to reduce the frequency of accidents and injuries.