The paper aimed at quantitatively analyzing the acute effects of serious air pollution on hospital emergency room admissions for respiratory diseases in Beijing City. Specifically, a semi-parametric generalized additive model was used to analyze the exposure-effect relationship between air pollution and daily respiratory hospital emergency room admissions from 2009 to 2011 in Beijing after a control of the long-term trend, the‘day of the week’ effect and the confounding factors of meteorology. At the same time, a model was established based on the upper and lower respiratory tract infections. The results showed that the three kinds of air pollutants all had certain lag effect in which NO2 lagged in one or two days, SO2 lagged in two days, NO2 lagged in two days or lagged in four days. An increased by 10 μg/m3 in three air pollutants, the relative risks and confidence interval of SO2, NO2, and PM10 were 1.011 4 (95% CI: 1.007 7～1.018 3), 1.021 3 (95% CI: 1.015 0～1.021 3) and 1.0113 (95% CI: 1.004 9～1.017 3) for all hospital emergency room admissions, respectively. The influence of air pollution on the upper respiratory tract infections was more obvious than lower respiratory tract infections.
air pollutionrespiratory diseasetime seriesBeijing City
NETL
NSTL
维普
万方数据
