Geographical Patterns in Mortality Impacts Due To Heatwaves of Different Characteristics in Spanish Cities

IF 4.3 2区 医学 Q2 ENVIRONMENTAL SCIENCES Geohealth Pub Date : 2024-08-05 DOI:10.1029/2024GH001092
Laura Paredes-Fortuny, Coral Salvador, Ana M. Vicedo-Cabrera, Samira Khodayar
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Abstract

The impact of heatwaves (HWs) on human health is a topic of growing interest due to the global magnification of these phenomena and their substantial socio-economic impacts. As for other countries of Southern Europe, Spain is a region highly affected by heat and its increase under climate change. This is observed in the mean values and the increasing incidence of extreme weather events and associated mortality. Despite the vast knowledge on this topic, it remains unclear whether specific types and characteristics of HW are particularly harmful to the population and whether this shows a regional interdependency. The present study provides a comprehensive analysis of the relationship between HW characteristics and mortality in 12 Spanish cities. We used separated time series analysis in each city applying a quasi-Poisson regression model and distributed lag linear and non-linear models. Results show an increase in the mortality risk under HW conditions in the cities with a lower HW frequency. However, this increase exhibits remarkable differences across the cities under study not showing any general pattern in the HW characteristics-mortality association. This relationship is shown to be complex and strongly dependent on the local properties of each city pointing out the crucial need to examine and understand on a local scale the HW characteristics and the HW-mortality relationship for an efficient design and implementation of prevention measures.

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西班牙城市不同特征的热浪对死亡率影响的地理模式。
热浪(HWs)对人类健康的影响是一个日益受到关注的话题,因为这些现象在全球范围内不断扩大,并对社会经济产生了重大影响。与南欧其他国家一样,西班牙也是一个深受热浪影响的地区,而且在气候变化的影响下,热浪也在不断增加。这可以从极端天气事件的平均值和增加的发生率以及相关死亡率中观察到。尽管对这一主题有大量了解,但仍不清楚特定类型和特征的高温是否对人口特别有害,以及这是否显示出地区间的相互依存关系。本研究全面分析了西班牙 12 个城市的 HW 特征与死亡率之间的关系。我们采用准泊松回归模型和分布式滞后线性和非线性模型,对每个城市进行了分离式时间序列分析。结果表明,在高湿频率较低的城市,高湿条件下的死亡风险增加。然而,这种增加在所研究的城市中表现出显著的差异,并没有显示出 HW 特征与死亡率关系的任何一般模式。结果表明,这种关系非常复杂,而且在很大程度上取决于每个城市的当地特点,这就表明,为了有效地设计和实施预防措施,亟需在当地范围内研究和了解小家电的特点以及小家电与死亡率之间的关系。
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来源期刊
Geohealth
Geohealth Environmental Science-Pollution
CiteScore
6.80
自引率
6.20%
发文量
124
审稿时长
19 weeks
期刊介绍: GeoHealth will publish original research, reviews, policy discussions, and commentaries that cover the growing science on the interface among the Earth, atmospheric, oceans and environmental sciences, ecology, and the agricultural and health sciences. The journal will cover a wide variety of global and local issues including the impacts of climate change on human, agricultural, and ecosystem health, air and water pollution, environmental persistence of herbicides and pesticides, radiation and health, geomedicine, and the health effects of disasters. Many of these topics and others are of critical importance in the developing world and all require bringing together leading research across multiple disciplines.
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