Pavanitto Drielle Rezende, Menezes Renata Armani de Moura, Nascimento Luiz Fernando Costa
Medical Student, Department of Medicine, Universidade de Taubaté (UNITAU), Taubaté (SP), Brazil.
PhD. Researcher, Department of Energy, Universidade Estadual Paulista (UNESP), Guaratinguetá (SP), and Assistant Professor, Department of Medicine, Universidade de Taubaté (UNITAU), Taubaté (SP), Brazil.
Sao Paulo Med J. 2018 Jan-Feb;136(1):4-9. doi: 10.1590/1516-3180.2017.0098070817. Epub 2018 Jan 15.
Traffic accidents have gained prominence as one of the modern epidemics that plague the world. The objective of this study was to identify the spatial distribution of potential years of life lost (PYLL) due to accidents involving motorcycles in the state of São Paulo, Brazil.
Ecological and exploratory study conducted in São Paulo.
Data on deaths among individuals aged 20-39 years due to motorcycle accidents (V20-V29 in the International Classification of Diseases, 10th revision) in the state of São Paulo in the years 2007-2011 were obtained from DATASUS. These data were stratified into a database for the 63 microregions of this state, according to where the motorcyclist lived. PYLL rates per 100,000 inhabitants were calculated. Spatial autocorrelations were estimated using the Global Moran index (IM). Thematic, Moran and Kernel maps were constructed using PYLL rates for the age groups of 20-29 and 30-39 years. The Terraview 4.2.2 software was used for the analysis.
The PYLL rates were 486.9 for the ages of 20-29 years and 199.5 for 30-39 years. Seventeen microregions with high PYLL rates for the age group of 20-29 years were identified. There was higher density of these rates on the Kernel map of the southeastern region (covering the metropolitan region of São Paulo). There were no spatial autocorrelations between rates.
The data presented in this study identified microregions with high accident rates involving motorcycles and microregions that deserve special attention from regional managers and traffic experts.
交通事故已成为困扰全球的现代流行病之一。本研究的目的是确定巴西圣保罗州因摩托车事故导致的潜在寿命损失年数(PYLL)的空间分布。
在圣保罗进行的生态与探索性研究。
从DATASUS获取2007 - 2011年圣保罗州20 - 39岁个体因摩托车事故(国际疾病分类第10版中的V20 - V29)死亡的数据。这些数据根据摩托车驾驶者居住地点,分层纳入该州63个微区域的数据库。计算每10万居民的PYLL率。使用全局莫兰指数(IM)估计空间自相关。利用20 - 29岁和30 - 39岁年龄组的PYLL率构建专题图、莫兰图和核密度图。使用Terraview 4.2.2软件进行分析。
20 - 29岁年龄组的PYLL率为486.9,30 - 39岁年龄组为199.5。确定了17个20 - 29岁年龄组PYLL率较高的微区域。在东南部地区(覆盖圣保罗大都市区)的核密度图上这些比率的密度更高。各比率之间不存在空间自相关。
本研究呈现的数据确定了摩托车事故率高的微区域以及值得区域管理人员和交通专家特别关注的微区域。