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A spatially disaggregated time-series analysis of the short-term effects of particulate matter exposure on mortality in Chennai, India

机译:对印度钦奈颗粒物暴露对死亡率的短期影响进行空间分解的时间序列分析

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The global burden of disease due to air pollution is concentrated in the rapidly developing counties of Asia, but a recent meta-analysis found that relatively few studies on short-term exposure to air pollution and mortality have been performed in these countries, including India. Local evidence on the effects of short-term exposures to air pollutants on mortality and cardio-respiratory morbidity in Asia would reduce the uncertainties in current impact estimations and facilitate effective public policy responses to a deteriorating air pollution situation in South Asia. Here, we report the results from one of the first of such studies in metropolitan Chennai, India, conducted as part of a co-ordinated multi-city time-series initiative in India aimed at estimating the effect of short-term exposure to particulate matter ≤10 μm in aerodynamic diameter (PM10) on all-cause mortality. The studies in Indian cities (Chennai, Delhi and Ludhiana) were part of a larger multi-city effort in Asia, co-ordinated by The Health Effects Institute (Boston, MA, USA) under their program for Public health and Air Pollution in Asia (PAPA). An important study output included the development of methodological refinements to overcome the limitations of routinely collected data in terms of missing measurements, small footprints of air pollution monitors and incomplete address information on death records. We used data on ambient air quality and all-cause mortality collected over the period 2002–2004. Exposures and health outcomes were disaggregated at the level of individual city zones and subsequently used in quasi-Poisson generalized additive models with smooth functions of time, temperature and relative humidity. Our model estimated a 0.44% (95% confidence interval 0.17–0.71) increase in mortality per 10 μg/m3 increase in daily average concentrations of PM10, which is comparable to estimates from other PAPA cities and previous studies in North America and Europe. The results from PAPA studies in India, while preliminary, serve to strengthen the local evidence base for air pollution-related health effects that is imminently needed for better air quality management, while adding valuable information from India to the global repository of evidence.
机译:由空气污染引起的全球疾病负担集中在亚洲快速发展的县,但是最近的荟萃分析发现,在包括印度在内的这些国家中,有关空气污染和死亡率的短期暴露的研究相对较少。关于短期暴露于空气污染物对亚洲死亡率和心肺疾病发病率影响的本地证据将减少当前影响估计的不确定性,并有助于对南亚日益恶化的空气污染状况采取有效的公共政策应对措施。在这里,我们报告了在印度大城市钦奈进行的首批此类研究之一的结果,这是在印度开展的一项旨在协调多城市时间序列协调计划的一部分,旨在估算短期暴露于颗粒物的影响空气动力学直径(PM10)≤10μm,全因死亡率。印度城市(金奈,德里和卢迪亚纳)的研究是亚洲较大的多城市研究的一部分,该研究由健康影响研究所(美国马萨诸塞州波士顿)在其亚洲公共卫生和空气污染计划的协调下进行(PAPA)。一项重要的研究成果包括开发改进方法的方法,以克服常规测量数据缺失,测量遗漏,空气污染监测仪占地面积小以及死亡记录地址信息不完整的局限性。我们使用了2002-2004年期间收集的环境空气质量和全因死亡率数据。在各个城市区域对暴露和健康结果进行分类,然后将其用于准Poisson广义加性模型中,该模型具有时间,温度和相对湿度的平滑函数。我们的模型估计PM10的每日平均浓度每增加10μg/ m3,死亡率将增加0.44%(95%的置信区间70.17-0.71),这与其他PAPA城市以及北美和欧洲先前的研究估计的结果相当。印度PAPA研究的结果虽然是初步的,但它有助于加强当地的空气污染相关健康影响的证据基础,这对于更好的空气质量管理迫在眉睫,同时还将来自印度的宝贵信息添加到全球证据库中。

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