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The association between meteorological factors and road traffic injuries: a case analysis from Shantou city China

机译:气象因素与道路交通伤害之间的关联:以汕头市为例

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摘要

Few studies examined the associations of meteorological factors with road traffic injuries (RTIs). The purpose of the present study was to quantify the contributions of meteorological factors to RTI cases treated at a tertiary level hospital in Shantou city, China. A time-series diagram was employed to illustrate the time trends and seasonal variation of RTIs, and correlation analysis and multiple linear regression analysis were conducted to investigate the relationships between meteorological parameters and RTIs. RTIs followed a seasonal pattern as more cases occurred during summer and winter months. RTIs are positively correlated with temperature and sunshine duration, while negatively associated with wind speed. Temperature, sunshine hour and wind speed were included in the final linear model with regression coefficients of 0.65 (t = 2.36, P = 0.019), 2.23 (t = 2.72, P = 0.007) and −27.66 (t = −5.67, P < 0.001), respectively, accounting for 19.93% of the total variation of RTI cases. The findings can help us better understand the associations between meteorological factors and RTIs, and with potential contributions to the development and implementation of regional level evidence-based weather-responsive traffic management system in the future.
机译:很少有研究检查气象因素与道路交通伤害(RTI)的关联。本研究的目的是量化气象因素对中国汕头市三级医院治疗的RTI病例的贡献。利用时间序列图说明了RTIs的时间趋势和季节变化,并进行了相关分析和多元线性回归分析以研究气象参数与RTIs之间的关系。随着夏季和冬季月份病例的增多,RTIs呈季节性变化。 RTIs与温度和日照时间呈正相关,而与风速呈负相关。温度,日照时数和风速包括在最终线性模型中,回归系数分别为0.65(t = 2.36,P = 0.019),2.23(t = 2.72,P = 0.007)和-27.66(t = −5.67,P < 0.001),分别占RTI病例总数变异的19.93%。这些发现可以帮助我们更好地了解气象因素与RTIs之间的关联,并为将来开发和实施区域级基于证据的天气响应型交通管理系统做出潜在贡献。

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