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温度观测时间和类型对美国七个城市与热相关死亡率估计的影响。

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

作者信息

Davis Robert E, Hondula David M, Patel Anjali P

机构信息

Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.

出版信息

Environ Health Perspect. 2016 Jun;124(6):795-804. doi: 10.1289/ehp.1509946. Epub 2015 Dec 4.

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.

CITATION

Davis RE, Hondula DM, Patel AP. 2016. Temperature observation time and type influence estimates of heat-related mortality in seven U.S. cities. Environ Health Perspect 124:795-804; http://dx.doi.org/10.1289/ehp.1509946.

摘要

背景

酷热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与死亡率之间的关系,几乎没有相关指导。

目的

我们研究了每日与热相关的死亡率和温度之间关系的强度如何随温度观测时间、滞后时间和计算方法而变化。

方法

使用广义相加模型对美国七个气候不同城市的每日死亡率计数和每小时温度的长时间序列进行了研究。针对一天中的每个小时(最多滞后3天)以及计算每日最高、最低和平均温度的不同方法,分别对温度效应进行建模。我们通过比较从年度时间序列确定的第99百分位数与第85百分位数的温度,来估计每个变量对死亡率的温度效应。

结果

在三个似乎对热最敏感的北方城市(马萨诸塞州波士顿市、宾夕法尼亚州费城和华盛顿州西雅图市),每小时的估计结果与热与死亡率反应的昼夜模式一致,在滞后0(死亡当天)的下午或最高温度以及滞后1(死亡前一天)的下午和晚上关联最强。在较温暖的南方城市,与早晨温度的关联更强,但总体关系较弱。最强的温度与死亡率关系与最高温度相关,尽管平均温度的结果相当。

结论

基于温度观测的时间和类型,温度与死亡率之间的关联存在系统且显著的差异。由于最强的每小时温度与死亡率关系并不总是出现在通常与每日最高温度相关的时间,因此应针对每个研究地点独立选择温度变量。总体而言,在我们研究的大多数城市,尤其是那些通常容易出现与热相关死亡率的城市,热与死亡率与下午和最高温度的联系更为紧密。

引用文献

Davis RE, Hondula DM, Patel AP. 2016. Temperature observation time and type influence estimates of heat-related mortality in seven U.S. cities. Environ Health Perspect 124:795 - 804; http://dx.doi.org/10.1289/ehp.1509946.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0580/4892923/ff90794602f2/ehp.1509946.g001.jpg

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