Department of Life Science Systems, Technical University of Munich, Freising, Germany.
Department of Mathematics, Technical University of Munich, Garching, Germany.
PLoS One. 2021 Nov 17;16(11):e0259086. doi: 10.1371/journal.pone.0259086. eCollection 2021.
When meteorological conditions deviate from the optimal range for human well-being, the risks of illness, injury, and death increase, and such impacts are feared in particular with more frequent and intense extreme weather conditions resulting from climate change. Thermal indices, such as the universal thermal climate index (UTCI), can better assess human weather-related stresses by integrating multiple weather components. This paper quantifies and compares the seasonal and spatial association of UTCI with mortality, morbidity, and road accidents in the federal state of Bavaria, Germany. Linear regression was applied to seasonally associate daily 56 million hospital admissions and 2.5 million death counts (1995-2015) as well as approximately 930,000 road accidents and 1.7 million people injured (2002-2015) with spatially interpolated same day- and lagged- (up to 14 days) average UTCI values. Additional linear regressions were performed stratifying by age, gender, region, and district. UTCI effects were clear in all three health outcomes studied: Increased UTCI resulted in immediate (1-2 days) rises in morbidity and even more strongly in mortality in summer, and lagged (up to 14 days) decreases in fall, winter, and spring. The strongest UTCI effects were found for road accidents where increasing UTCI led to immediate decreases in daily road accidents in winter but pronounced increases in all other seasons. Differences in UTCI effects were observed e.g. between in warmer north-western regions (Franconia, more districts with heat stress-related mortality, but hospital admissions for lung, heart and external reasons decreasing with summer heat stress), the touristic alpine regions in the south (immediate effect of increasing UTCI on road accidents in summer), and the colder south-eastern regions (increasing hospital admissions for lung, heart and external reasons in winter with UTCI). Districts with high percentages of elderly suffered from higher morbidity and mortality, particularly in winter. The influences of UTCI as well as the spatial and temporal patterns of this influence call for improved infrastructure planning and resource allocation in the health sector.
当气象条件偏离人类福祉的最佳范围时,疾病、伤害和死亡的风险会增加,特别是在气候变化导致更频繁和更强烈的极端天气条件下,这种影响更令人担忧。热指数,如通用热气候指数(UTCI),可以通过整合多个气象因素更好地评估人类与天气相关的压力。本文量化并比较了德国巴伐利亚联邦州 UTCI 与死亡率、发病率和道路事故的季节性和空间关联。线性回归应用于季节性关联每日 5600 万次住院和 250 万例死亡(1995-2015 年)以及大约 93 万次道路事故和 170 万人受伤(2002-2015 年)与当天和滞后(最多 14 天)平均 UTCI 值的空间插值。还通过年龄、性别、地区和区进行了额外的线性回归。在所有三种研究的健康结果中,UTCI 效应都很明显:UTCI 增加导致夏季发病率立即(1-2 天)上升,死亡率上升更为明显,滞后(最多 14 天)秋季、冬季和春季下降。在道路事故中发现了最强的 UTCI 效应,其中 UTCI 增加导致冬季每日道路事故立即减少,但在所有其他季节则明显增加。在 UTCI 效应方面存在差异,例如在温暖的西北部地区(弗兰肯,更多地区与热应激相关的死亡率,但肺部、心脏和外部原因的住院人数随着夏季热应激而减少)、南部的旅游高山地区(夏季 UTCI 对道路事故的直接影响)和较冷的东南部地区(冬季 UTCI 增加肺部、心脏和外部原因的住院人数)。老年人比例较高的地区发病率和死亡率较高,特别是在冬季。UTCI 的影响以及这种影响的时空模式要求改善卫生部门的基础设施规划和资源分配。