Klinjun Nuntaporn, Lim Apiradee, Bundhamcharoen Kanitta
Southeast Asian J Trop Med Public Health. 2016 Mar;47(2):318-27.
This study aimed to explore patterns of transport accident mortality in Thailand between 2004 and 2009. Vital Registration (VR) data were obtained from the Thai Ministry of Public Health and corrected causes of death were derived from Verbal Autopsy (VA) data collected in 2005. A total of 136,164 deaths were analyzed. Poisson regression was used for identifying mortality patterns with respect to gender-age groups and province-year groups. Regression coefficients were used to classify mortality trends for the 76 provinces. The estimated number of transport accident deaths was 2.2 times higher than VR records. The mean estimated transport accident mortality rate was 34.5 per 100,000 population. The estimated transport accident mortality rates were highest among males aged 20-29 years and in the central region, lower northern region and Nakhon Ratchasima Province in the northeastern region. The patterns of transport accident mortality rates were separated into nine groups. Increasing trends were found in three provinces in the northern region, four provinces in the central and eastern regions and five provinces in the southern region. Nine models developed for these nine groups may be helpful for estimating future transport accident mortality rates in Thailand and developing appropriate responses.
本研究旨在探究2004年至2009年间泰国交通事故死亡率的模式。生命登记(VR)数据取自泰国公共卫生部,修正后的死亡原因源自2005年收集的口头尸检(VA)数据。总共分析了136,164例死亡病例。采用泊松回归来确定性别年龄组和省份年份组的死亡率模式。回归系数用于对76个省份的死亡率趋势进行分类。估计的交通事故死亡人数比VR记录高2.2倍。估计的交通事故平均死亡率为每10万人34.5人。估计的交通事故死亡率在20至29岁男性以及中部地区、北部偏下地区和东北部呵叻府最高。交通事故死亡率模式分为九组。在北部地区的三个省份、中部和东部地区的四个省份以及南部地区的五个省份发现了上升趋势。为这九组建立的九个模型可能有助于估计泰国未来的交通事故死亡率并制定适当的应对措施。