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Particulate air pollution and daily mortality in Bangkok.

机译:曼谷的空气污染和每日死亡率。

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This study was designed to assess the association between PM10 and visibility, and to determine whether the variations in daily mortality were associated with fluctuations in daily PM10 and visibility levels, in Bangkok during 1992--1997. Mortality data were extracted from death certificates, provided by the Bureau of Registration Administration. PM10 data were obtained from three monitoring stations operated by the Pollution Control Department, and visibility data were obtained from two monitoring stations operated by the Department of Meteorology.; PM10 was regressed on visibility using multiple regression. Inverse and significant association was found between PM10 and visibility, after controlling for relative humidity, minimum temperature, and winter indicator variable. Positive association was found between total mortality and PM10, in Poisson regression model while controlling for long-term trends, season, and variations in weather. Five-day moving average of PM10 was significantly and most strongly associated with total mortality from non-external causes; a 2.3% (95% CI = 1.3, 3.3) increase in mortality was estimated for one interquartile range (30 mug/m3) increase in PM10. When PM10 was replaced with visibility, a 1.3% (95% CI = 0.4, 2.3) increase in mortality was estimated for one interquartile range (1.5 km) decrease in visibility. Lagged effects up to three day lags prior to death with similar patterns were observed for both PM10 and visibility.; The findings suggest the possibility of using visibility as a surrogate for fine particulate matter. This approach is feasible because visibility data are usually routinely recorded at airports throughout the world. On the other hand, given the large number of population living in Bangkok, the small but significant percent excess deaths attributable to airborne particle exposure is an important public health concern.
机译:这项研究旨在评估1992--1997年曼谷PM10与能见度之间的关联,并确定每日死亡率的变化是否与PM10和能见度水平的波动相关。死亡率数据是从登记管理局提供的死亡证明中提取的。 PM10数据是从污染控制部门运营的三个监测站获取的,可见度数据是从气象部门运行的两个监测站获取的。使用多重回归对PM10的可见度进行回归。在控制了相对湿度,最低温度和冬季指示变量之后,发现PM10与能见度之间存在显着的负相关关系。在泊松回归模型中,总死亡率与PM10呈正相关,同时控制了长期趋势,季节和天气变化。 PM10的五天移动平均值与非外部原因导致的总死亡率显着相关,且最强相关。在PM10的一个四分位数范围内(每杯30杯/立方米),估计死亡率增加了2.3%(95%CI = 1.3,3.3)。当将PM10替换为能见度时,对于能见度下降的一个四分位间距(1.5 km),估计死亡率增加了1.3%(95%CI = 0.4,2.3)。 PM10和能见度均观察到死亡前三天的滞后效应,且模式相似。研究结果表明,可以利用可见度作为细颗粒物的替代物。这种方法是可行的,因为可见性数据通常在世界各地的机场例行记录。另一方面,鉴于曼谷居住着大量人口,因空气中的颗粒物暴露而导致的超额死亡人数很少但很可观,这是一个重要的公共卫生问题。

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