High-mortality days during the winter season: comparing meteorological conditions across 5 US cities
High-mortality days during the winter season: comparing meteorological conditions across 5 US cities
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DOI：
10.1007/s00484-013-0640-4
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发表时间：
2014-03-01
影响因子：
3.2
通讯作者：
Sheridan, Scott C.
中科院分区：
文献类型：
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作者：
Allen, Michael J.;Sheridan, Scott C.
虽然天气与人类健康之间的关系已经从不同的角度进行了研究，但本研究通过检查冬季特定高死亡率日的天气状况来研究另一种分析方法。根据定义，这些死亡率高的日子是指死亡率急剧增加的日子和死亡率最高的日子。通过只关注高死亡率的日子，这项研究通过天气气候学，环境环流的方法来检查天气变量和死亡率之间的关系。将高死亡率日期间的大气条件与前几天和未归类为高死亡率日的天数进行比较。尽管存在空间和时间上的差异，但所有五个地点都出现了类似的模式。南部的位置有较强的温度变化的关系，而北方的位置表现出更大的关系，大气压力。总的来说，所有高死亡率的日子都与温度升高，压力降低以及与前一个子集相比降水的可能性更大有关。虽然所有地点的大气条件都是一致的，但不应忽视滞后效应的重要性，因为它是冬季死亡率的一个促成因素。通过各种不同的方法，未来的研究可能会建立在这些结果的基础上，并更详细地探索天气状况与天气和健康结果短期变化的影响之间的复杂关系。
While the relationship between weather and human health has been studied from various perspectives, this study examines an alternative method of analysis by examining weather conditions on specific high-mortality days during the winter season. These high-mortality days, by definition, represent days with dramatic increases in mortality and the days with the highest mortality. By focusing solely on high-mortality days, this research examines the relationship between weather variables and mortality through a synoptic climatology, environment-to circulation approach. The atmospheric conditions during high-mortality days were compared to the days prior and the days not classified as high-mortality days. Similar patterns emerged across all five locations despite the spatial and temporal variability. Southern locations had a stronger relationship with temperature changes while northern locations showed a greater relationship to atmospheric pressure. Overall, all high-mortality days were associated with warmer temperatures, decreased pressure, and a greater likelihood of precipitation when compared to the previous subset of days. While the atmospheric conditions were consistent across all locations, the importance of the lag effect should not be overlooked as a contributing factor to mortality during the winter season. Through a variety of diverse, methodological approaches, future studies may build upon these results and explore in more detail the complex relationship between weather situations and the impact of short-term changes in weather and health outcomes.