The influence of air masses on human mortality in the contiguous United States

IF 3 3区 地球科学 Q2 BIOPHYSICS International Journal of Biometeorology Pub Date : 2024-08-05 DOI:10.1007/s00484-024-02745-y
Cameron C. Lee, Alindomar Silva, Chibuike Ibebuchi, Scott C. Sheridan
{"title":"The influence of air masses on human mortality in the contiguous United States","authors":"Cameron C. Lee,&nbsp;Alindomar Silva,&nbsp;Chibuike Ibebuchi,&nbsp;Scott C. Sheridan","doi":"10.1007/s00484-024-02745-y","DOIUrl":null,"url":null,"abstract":"<div><p>Temperature-related mortality is the leading cause of weather-related deaths in the United States. Herein, we explore the effect of air masses (AMs) – a relatively novel and holistic measure of environmental conditions – on human mortality across 61 cities in the United States. Geographic and seasonal differences in the effects of each AM on deseasonalized and detrended anomalous lagged mortality are examined using simple descriptive statistics, one-way analyses of variance, relative risks of excess mortality, and regression-based artificial neural network (ANN) models. Results show that AMs are significantly related to anomalous mortality in most US cities, and in most seasons. Of note, two of the three cool AMs (Cool and Dry-Cool) each show a strong, but delayed mortality response in all seasons, with peak mortality 2 to 4 days after they occur, with the Dry-Cool AM having nearly a 15% increased risk of excess mortality. Humid-Warm (HW) air masses are associated with increases in deaths in all seasons 0 to 1 days after they occur. In most seasons, these near-term mortality increases are offset by reduced mortality for 1–2 weeks afterwards; however, in summer, no such reduction is noted. The Warm and Dry-Warm AMs show slightly longer periods of increased mortality, albeit slightly less intensely as compared with HW, but with a similar lag structure by season. Meanwhile, the most seasonally consistent results are with transitional weather, whereby passing cold fronts are associated with a significant decrease in mortality 1 day after they occur, while warm fronts are associated with significant increases in mortality at that same lag time. Finally, ANN modeling reveals that AM-mortality relationships gleaned from a combined meta-analysis can actually lead to more skillful modeling of these relationships than models trained on some individual cities, especially in the cities where such relationships might be masked due to low average daily mortality.</p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"68 11","pages":"2281 - 2296"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00484-024-02745-y.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biometeorology","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s00484-024-02745-y","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Temperature-related mortality is the leading cause of weather-related deaths in the United States. Herein, we explore the effect of air masses (AMs) – a relatively novel and holistic measure of environmental conditions – on human mortality across 61 cities in the United States. Geographic and seasonal differences in the effects of each AM on deseasonalized and detrended anomalous lagged mortality are examined using simple descriptive statistics, one-way analyses of variance, relative risks of excess mortality, and regression-based artificial neural network (ANN) models. Results show that AMs are significantly related to anomalous mortality in most US cities, and in most seasons. Of note, two of the three cool AMs (Cool and Dry-Cool) each show a strong, but delayed mortality response in all seasons, with peak mortality 2 to 4 days after they occur, with the Dry-Cool AM having nearly a 15% increased risk of excess mortality. Humid-Warm (HW) air masses are associated with increases in deaths in all seasons 0 to 1 days after they occur. In most seasons, these near-term mortality increases are offset by reduced mortality for 1–2 weeks afterwards; however, in summer, no such reduction is noted. The Warm and Dry-Warm AMs show slightly longer periods of increased mortality, albeit slightly less intensely as compared with HW, but with a similar lag structure by season. Meanwhile, the most seasonally consistent results are with transitional weather, whereby passing cold fronts are associated with a significant decrease in mortality 1 day after they occur, while warm fronts are associated with significant increases in mortality at that same lag time. Finally, ANN modeling reveals that AM-mortality relationships gleaned from a combined meta-analysis can actually lead to more skillful modeling of these relationships than models trained on some individual cities, especially in the cities where such relationships might be masked due to low average daily mortality.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
气团对美国毗连地区人类死亡率的影响。
与气温相关的死亡是美国与天气相关死亡的主要原因。在此,我们探讨了气团(AMs)对美国 61 个城市的人类死亡率的影响,气团是衡量环境条件的一种相对新颖的综合指标。我们使用简单的描述性统计、单向方差分析、超额死亡率相对风险和基于回归的人工神经网络 (ANN) 模型,研究了每种 AM 对去季节化和去趋势化异常滞后死亡率影响的地理和季节差异。结果表明,在美国大多数城市和大多数季节,AMs 与异常死亡率有明显的关系。值得注意的是,三个冷AM中的两个(凉爽和干冷)在所有季节都表现出强烈但延迟的死亡率反应,死亡率峰值出现在它们出现后的2到4天,其中干冷AM的超额死亡率风险增加了近15%。潮湿-温暖(HW)气团出现后 0 到 1 天,所有季节的死亡人数都会增加。在大多数季节,近期死亡率的增加会被随后 1-2 周内死亡率的降低所抵消;但在夏季,则没有这种降低。温暖和干暖型 AM 的死亡率上升期略长,尽管与 HW 相比强度略低,但各季节的滞后结构相似。同时,季节性最一致的结果是过渡性天气,即冷锋过后 1 天,死亡率显著下降,而暖锋过后 1 天,死亡率显著上升。最后,ANN 模型显示,从综合荟萃分析中得出的上午平均气温与死亡率之间的关系,实际上比在某些单个城市训练的模型更能巧妙地模拟这些关系,特别是在那些由于日平均死亡率较低而可能掩盖了这种关系的城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
期刊最新文献
Effects of cloud and tree shading on surface temperature of different pavement materials for urban sidewalks. Comparative physiological and biochemical assessment of the heat tolerance of dwarf Vechur, Kasaragod, and standard-size crossbred cattle under humid, hot conditions. A narrative review of thalassotherapy and the health benefits of seawater and coastal climates. Inhalation therapy with sulfur-rich thermal water for rhinogenic deafness: a series of case reports. Development of multistage crop yield estimation model using machine learning and deep learning techniques.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1