Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
AAnhui Meteorological Service Center, Anhui Meteorological Bureau, Hefei, Anhui, China.
Int J Inj Contr Saf Promot. 2020 Jun;27(2):253-260. doi: 10.1080/17457300.2020.1737140. Epub 2020 Mar 9.
The road traffic accident is an important public health issue affecting social development and public safety. The purpose of this study is to describe the situation of traffic accidents, and to explore the relationship between fatal traffic accidents and risk factors in Suzhou city of Anhui province in China. The accident data was obtained from the Traffic Police Detachment of the Suzhou Public Security Bureau. Other vehicle, population and road information are derived from Suzhou Statistical Yearbook. Descriptive analysis was used to summarize road traffic accident participants' characteristics. The binary logistic regression model was used to analyze the factors that affected fatal traffic accident. There are 7,795 cases involved 18,774 road traffic participants. By logistic regression, we found that in Suzhou, makes traffic accidents more likely to be the most fatal traffic accidents (adjusted OR = 5.33, 95%CI: 2.60-10.93). and might also increase the probability of fatal traffic accidents. These findings would help transportation authorities identify dangerous driving behaviors and take the necessary measures to improve road safety in undeveloped areas.
道路交通事故是影响社会发展和公共安全的重要公共卫生问题。本研究旨在描述交通事故的情况，并探讨中国安徽省苏州市致命交通事故与危险因素之间的关系。事故数据来自苏州市公安局交通警察支队。其他车辆、人口和道路信息均来自《苏州统计年鉴》。描述性分析用于总结道路交通参与者的特征。二项逻辑回归模型用于分析影响致命交通事故的因素。涉及 7795 起事故，涉及 18774 名道路交通参与者。通过逻辑回归，我们发现苏州地区，夜间行驶更容易发生致命交通事故（调整后的 OR=5.33，95%CI：2.60-10.93）。恶劣天气和道路施工也可能增加致命交通事故的概率。这些发现将有助于交通管理部门识别危险驾驶行为，并采取必要措施改善欠发达地区的道路安全。
