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Temperature Observation Time and Type Influence Estimates of Heat-Related Mortality in Seven U.S. Cities

机译:美国七个城市热量相关死亡率的温度观测时间和类型影响估计

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摘要

abstract: Background: Extreme heat is a leading weather-related cause of mortality in the United States, but little guidance is available regarding how temperature variable selection impacts heat–mortality relationships.Objectives: We examined how the strength of the relationship between daily heat-related mortality and temperature varies as a function of temperature observation time, lag, and calculation method.Methods: Long time series of daily mortality counts and hourly temperature for seven U.S. cities with different climates were examined using a generalized additive model. The temperature effect was modeled separately for each hour of the day (with up to 3-day lags) along with different methods of calculating daily maximum, minimum, and mean temperature. We estimated the temperature effect on mortality for each variable by comparing the 99th versus 85th temperature percentiles, as determined from the annual time series.Results: In three northern cities (Boston, MA; Philadelphia, PA; and Seattle, WA) that appeared to have the greatest sensitivity to heat, hourly estimates were consistent with a diurnal pattern in the heat-mortality response, with strongest associations for afternoon or maximum temperature at lag 0 (day of death) or afternoon and evening of lag 1 (day before death). In warmer, southern cities, stronger associations were found with morning temperatures, but overall the relationships were weaker. The strongest temperature–mortality relationships were associated with maximum temperature, although mean temperature results were comparable.Conclusions: There were systematic and substantial differences in the association between temperature and mortality based on the time and type of temperature observation. Because the strongest hourly temperature–mortality relationships were not always found at times typically associated with daily maximum temperatures, temperature variables should be selected independently for each study location. In general, heat-mortality was more closely coupled to afternoon and maximum temperatures in most cities we examined, particularly those typically prone to heat-related mortality.
机译:摘要:背景:极端高温是美国与天气相关的主要死亡原因,但关于温度变量选择如何影响热量与死亡率关系的指南很少。目的:我们研究了日常热量与温度之间的关系强度。方法:采用通用加性模型研究了美国七个气候不同的城市的长期死亡率和小时温度的长期序列。针对一天中的每个小时(最多滞后3天)分别建模温度效应,并采用不同的计算每日最高,最低和平均温度的方法。我们通过比较从年度时间序列确定的第99个和第85个温度百分位数,估算了温度对每个变量的死亡率的影响。结果:在三个北部城市(马萨诸塞州波士顿;宾夕法尼亚州费城;华盛顿州西雅图),对热量的敏感性最高,每小时估算值与热量-死亡率响应的昼夜模式一致,在滞后0(死亡日)或滞后1(死亡前一日)的下午或最高温度与下午或最高温度的关联最强。在较温暖的南部城市中,人们发现与早晨温度的关联更强,但总体而言,两者之间的关系较弱。尽管平均温度结果具有可比性,但最强的温度-死亡率关系与最高温度相关。结论:根据温度观测的时间和类型,温度与死亡率之间的关系存在系统性和实质性差异。由于并非总是在通常与每日最高温度相关的时间找到最强的每小时温度与死亡率的关系,因此应为每个研究地点独立选择温度变量。总的来说,在我们考察的大多数城市中,热死亡率与下午和最高温度的关系更为紧密,特别是那些通常容易发生与热相关的死亡率的城市。

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