Using spatio-temporal land use regression models to address spatial variation in air pollution concentrations in time series studies
作者: Konstantina DimakopoulouAlexandros GryparisKlea Katsouyanni
作者单位: 1National and Kapodistrian University
2King’s College London
3University of Athens Medical School
刊名: Air Quality, Atmosphere & Health, 2017, Vol.10 (9), pp.1139-1149
来源数据库: Springer Journal
DOI: 10.1007/s11869-017-0500-1
关键词: Air pollutionSpatio-temporal modelsShort-term health effectsPM10NO2
英文摘要: Time series studies are used to assess the effects of short-term exposures to PM10 and NO2 on mortality using an integrated pollutant series taken to characterize exposure over a large area. We propose using spatio-temporal land use regression (LUR) models by smaller geographical sectors within an area of interest to account for spatial variability in these studies. Based on model-estimated time series, we conducted a case-crossover analysis for each sub-sector within two larger areas of interest (Athens and Thessaloniki, Greece) separately to investigate heterogeneity and provide combined results if appropriate. As sensitivity analysis, we compared the case-crossover method to classical time series analysis and also to using fixed site measurements only. For...
原始语种摘要: Time series studies are used to assess the effects of short-term exposures to PM10 and NO2 on mortality using an integrated pollutant series taken to characterize exposure over a large area. We propose using spatio-temporal land use regression (LUR) models by smaller geographical sectors within an area of interest to account for spatial variability in these studies. Based on model-estimated time series, we conducted a case-crossover analysis for each sub-sector within two larger areas of interest (Athens and Thessaloniki, Greece) separately to investigate heterogeneity and provide combined results if appropriate. As sensitivity analysis, we compared the case-crossover method to classical time series analysis and also to using fixed site measurements only. For...
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影响因子:1.979 (2012)

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关键词翻译
关键词翻译
  • temporal 现世的
  • spatial 空间的
  • series 
  • variation 变异
  • crossover 交叉
  • address 地址
  • Greece 希腊
  • pollution 污染
  • effects 海员自身物品
  • analysis 分析