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Risk assessment of the respiratory health effects due to air pollution and meteorological factors in a population from Drobeta Turnu Severin, Romania

机译:由于来自罗马尼亚的Drobeta Turnu Sevein的人口中的空气污染和气象因素因呼吸健康影响的风险评估

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In the present study we considered two modeling approaches: in the first approach, the hospital admission with chronic respiratory diseases as dependent variable, the environmental data and the days of the week as independent variables in a Poisson regression model were used; in the second approach the annual variation was accounted for and the variable "day" was introduced numbering the day and modeled with a spline. The basic assumption was that total suspended particulate may have a damaging effect that is possibly modified by air temperature and air humidity. The obtained results offer a new contribution regarding protective effect of air humidity and seasonal influences on the relation air pollution - respiratory health.
机译:在本研究中,我们考虑了两种建模方法:在第一种方法中,使用了慢性呼吸系统疾病的医院入院作为依赖变量,环境数据和一周中的几天作为泊松回归模型中的独立变量;在第二种方法中,年度变化被占据了,变量“日”是介绍了一天的编号,并用样条曲线建模。基本假设是总悬浮颗粒可能具有损伤的效果,其可能通过空气温度和空气湿度修饰。所获得的结果为空气污染 - 呼吸健康有关空气湿度和季节影响的保护作用提供了新贡献。

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