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Short-Term Effect of Air Pollution on Tuberculosis Based on Kriged Data: A Time-Series Analysis

机译:基于Kriged数据的空气污染对结核病的短期影响:时间序列分析

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摘要

Tuberculosis (TB) has a very high mortality rate worldwide. However, only a few studies have examined the associations between short-term exposure to air pollution and TB incidence. Our objectives were to estimate associations between short-term exposure to air pollutants and TB incidence in Wuhan city, China, during the 2015–2016 period. We applied a generalized additive model to access the short-term association of air pollution with TB. Daily exposure to each air pollutant in Wuhan was determined using ordinary kriging. The air pollutants included in the analysis were particulate matter (PM) with an aerodynamic diameter less than or equal to 2.5 micrometers (PM ), PM with an aerodynamic diameter less than or equal to 10 micrometers (PM ), sulfur dioxide (SO ), nitrogen dioxide (NO ), carbon monoxide (CO), and ground-level ozone (O ). Daily incident cases of TB were obtained from the Hubei Provincial Center for Disease Control and Prevention (Hubei CDC). Both single- and multiple-pollutant models were used to examine the associations between air pollution and TB. Seasonal variation was assessed by splitting the all-year data into warm (May–October) and cold (November–April) seasons. In the single-pollutant model, for a 10 μg/m increase in PM , PM , and O at lag 7, the associated TB risk increased by 17.03% (95% CI: 6.39, 28.74), 11.08% (95% CI: 6.39, 28.74), and 16.15% (95% CI: 1.88, 32.42), respectively. In the multi-pollutant model, the effect of PM on TB remained statistically significant, while the effects of other pollutants were attenuated. The seasonal analysis showed that there was not much difference regarding the impact of air pollution on TB between the warm season and the cold season. Our study reveals that the mechanism linking air pollution and TB is still complex. Further research is warranted to explore the interaction of air pollution and TB.
机译:结核病(TB)在世界范围内具有很高的死亡率。但是,只有少数研究检查了短期暴露于空气污染与结核病发病率之间的关系。我们的目标是估计2015-2016年期间中国武汉市短期暴露于空气污染物与结核病发病率之间的关联。我们应用广义的加性模型来获取空气污染与结核病的短期关联。使用普通克里格法确定武汉市每种空气污染物的每日暴露量。分析中包括的空气污染物是空气动力学直径小于或等于2.5微米(PM)的颗粒物(PM),空气动力学直径小于或等于10微米(PM)的PM,二氧化硫(SO),二氧化氮(NO),一氧化碳(CO)和地面臭氧(O)。从湖北省疾病预防控制中心获得的结核病每日发病病例。单污染物模型和多污染物模型都用于检验空气污染与结核病之间的关联。通过将全年数据​​分为温暖(5月至10月)和寒冷(11月至4月)季节来评估季节变化。在单一污染物模型中,如果在滞后7时PM,PM和O增加10μg/ m,则相关的结核病风险分别增加17.03%(95%CI:6.39,28.74),11.08%(95%CI:分别为6.39%,28.74%和16.15%(95%CI:1.88、32.42)。在多污染物模型中,PM对结核病的影响仍具有统计学意义,而其他污染物的影响则有所减弱。季节性分析表明,在暖季和冷季之间,空气污染对结核病的影响差异不大。我们的研究表明,将空气污染与结核病联系起来的机制仍然很复杂。值得进一步研究以探索空气污染与结核病之间的相互作用。

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