Analysis of the spatial distribution of road accidents attended by the Mobile Emergency Service (Samu-192) in a municipality of northeastern Brazil

Bibliographic Data

ID15530973
AuthorsCristine Viera do Bonfim (Universidade Federal de Pernambuco, corresponding author), Aline Silva (0000-0002-8283-6463, Secretaria da Saúde), Aline Galdino Soares da Silva, Weinar Maria de Araújo (Universidade de Pernambuco), Carmela Alencar, Betise Mery Alencar Sousa Macau Furtado (0000-0001-6344-8257, Universidade de Pernambuco), Betise Mery Alencar Furtado
Year2018
Volume14
Issue1
Pages65-65
Publication date2018-04-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSalud Colectiva (JOURNAL)
Journal identifiersISSN: 1669-2381 • E-ISSN: 1851-8265
PublisherInstituto de Salud Colectiva, Universidad Nacional de Lanús (PUBLISHER • AR)
DOI10.18294/sc.2018.1211
PMID30020361
OpenAlexW2894720260
LanguageEN
Citations received1
References cited42

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

Art · Geography · Humanities · Medical emergency · Poison control · Injury Epidemiology and Prevention · Medicine · Traffic and Road Safety · Urban Transport and Accessibility

Tools

Open DOIOpen Access