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Spatial analysis of heat-related mortality among the elderly between 1993 and 2004 in Sydney, Australia.

机译:1993年至2004年在澳大利亚悉尼的老年人中热敏死亡率的空间分析。

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This study analyzed the geographical patterns of heat-related mortality among the population aged 65 and over within the metropolitan area of Sydney, Australia between 1993 and 2004, and evaluated the role of some physical and socio-demographic risk factors associated with it. The effect of temperature on all-cause mortality during unusually hot days was investigated using spatial analytic techniques, such as cluster analysis and spatial regression analysis. Generalized Linear Models (GLMs) were used to investigate the role of daily average temperature, ozone (O(3)) and particulate matter of diameter less than 10 microm (PM(10)) at the regions that showed a significant increase in mortality on unusually hot days. Spatial variation in mortality on unusually hot days was observed among the population 65 and over. Elderly people living within 5-20 km south-west and west of the Sydney Central Business District (CBD) were found to be more vulnerable. However, analysis using GLMs showed temperature to be a significant modifier of daily mortality in the region to the south-west of the CBD only. O(3) and PM(10) were found to be non-significant factors in the regions where air pollutants were studied. Socio-economic status and the proportion of vegetation or developed land in each Statistical Local Area (SLA) were also not a significant factor explaining the increased mortality. A combination of social and environmental factors may be at play. Our results suggest an effect of temperature on mortality of the elderly population in Sydney Statistical Division at the SLA level. More spatially-based research would be beneficial once climate datasets with improved spatial coverage become available.
机译:本研究分析了1993年至2004年间悉尼悉尼大都会地区65岁及以上人口的热与热情地区的地理模式,并评估了一些与其相关的物理和社会人口风险因素的作用。使用空间分析技术研究了温度对全部炎热日期的所有原因死亡率的影响,例如集群分析和空间回归分析。广义线性模型(GLMS)用于研究日平均水平,臭氧(O(3))和直径小于10微米(PM(10))的颗粒物质的作用,表现出显着增加死亡率异常炎热的日子。在人口65岁及以上,观察到异常炎热天异常炎热的日子的空间变化。发现了悉尼中央商务区西南和西部5-20公里范围内的老年人(CBD),以更加脆弱。然而,使用GLMS的分析显示了温度,只有在CBD的西南地区的地区日常死亡率的重要改性。在研究空气污染物的地区,发现o(3)和PM(10)是非重大因素。社会经济地位和每个统计局域(SLA)中植被或发达的土地的比例也不是解释死亡率增加的重要因素。社会和环境因素的组合可能在剧中。我们的结果表明,温度对SLA水平悉尼统计划分的老年人死亡率的影响。一旦具有改善的空间覆盖范围的气候数据集可以获得更多的基于空间的研究是有益的。

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