School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Lancet Planet Health. 2024 Feb;8(2):e86-e94. doi: 10.1016/S2542-5196(23)00269-3.
Climate change can directly impact temperature-related excess deaths and might subsequently change the seasonal variation in mortality. In this study, we aimed to provide a systematic and comprehensive assessment of potential future changes in the seasonal variation, or seasonality, of mortality across different climate zones.
In this modelling study, we collected daily time series of mean temperature and mortality (all causes or non-external causes only) via the Multi-Country Multi-City Collaborative (MCC) Research Network. These data were collected during overlapping periods, spanning from Jan 1, 1969 to Dec 31, 2020. We projected daily mortality from Jan 1, 2000 to Dec 31, 2099, under four climate change scenarios corresponding to increasing emissions (Shared Socioeconomic Pathways [SSP] scenarios SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We compared the seasonality in projected mortality between decades by its shape, timings (the day-of-year) of minimum (trough) and maximum (peak) mortality, and sizes (peak-to-trough ratio and attributable fraction). Attributable fraction was used to measure the burden of seasonality of mortality. The results were summarised by climate zones.
The MCC dataset included 126 809 537 deaths from 707 locations within 43 countries or areas. After excluding the only two polar locations (both high-altitude locations in Peru) from climatic zone assessments, we analysed 126 766 164 deaths in 705 locations aggregated in four climate zones (tropical, arid, temperate, and continental). From the 2000s to the 2090s, our projections showed an increase in mortality during the warm seasons and a decrease in mortality during the cold seasons, albeit with mortality remaining high during the cold seasons, under all four SSP scenarios in the arid, temperate, and continental zones. The magnitude of this changing pattern was more pronounced under the high-emission scenarios (SSP3-7.0 and SSP5-8.5), substantially altering the shape of seasonality of mortality and, under the highest emission scenario (SSP5-8.5), shifting the mortality peak from cold seasons to warm seasons in arid, temperate, and continental zones, and increasing the size of seasonality in all zones except the arid zone by the end of the century. In the 2090s compared with the 2000s, the change in peak-to-trough ratio (relative scale) ranged from 0·96 to 1·11, and the change in attributable fraction ranged from 0·002% to 0·06% under the SSP5-8.5 (highest emission) scenario.
A warming climate can substantially change the seasonality of mortality in the future. Our projections suggest that health-care systems should consider preparing for a potentially increased demand during warm seasons and sustained high demand during cold seasons, particularly in regions characterised by arid, temperate, and continental climates.
The Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency, provided by the Ministry of the Environment of Japan.
气候变化可能直接影响与温度相关的超额死亡人数,并可能随后改变死亡率的季节性变化。在这项研究中,我们旨在提供对不同气候带死亡率季节性变化或季节性变化的潜在未来变化的系统和全面评估。
在这项建模研究中,我们通过多国家多城市合作研究网络(MCC 研究网络)收集了日平均温度和死亡率(所有原因或非外部原因)的每日时间序列。这些数据是在重叠期间收集的,时间跨度从 1969 年 1 月 1 日到 2020 年 12 月 31 日。我们根据对应于排放增加的四个气候变化情景(共享社会经济路径 [SSP] 情景 SSP1-2.6、SSP2-4.5、SSP3-7.0 和 SSP5-8.5)预测了 2000 年 1 月 1 日至 2099 年 12 月 31 日的每日死亡率。我们通过死亡率季节性的形状、最小(低谷)和最大(高峰)死亡率的日期(一年中的天数)以及大小(高峰到低谷的比率和归因分数)来比较预测死亡率的季节性。归因分数用于衡量死亡率季节性的负担。结果按气候带进行总结。
MCC 数据集包括来自 43 个国家或地区的 707 个地点的 126769537 例死亡。在排除气候带评估中仅有的两个极地地点(秘鲁的两个高海拔地点)后,我们分析了 705 个地点的 126766164 例死亡,这些地点在四个气候带(热带、干旱、温带和大陆)中汇总。从 21 世纪到 21 世纪 90 年代,我们的预测显示,在温暖季节死亡率增加,在寒冷季节死亡率减少,但在所有四个 SSP 情景下,高排放情景(SSP3-7.0 和 SSP5-8.5)下,干旱、温带和大陆地区的寒冷季节死亡率仍然很高。这种变化模式的幅度在高排放情景下更为明显(SSP3-7.0 和 SSP5-8.5),极大地改变了死亡率季节性的形状,在最高排放情景(SSP5-8.5)下,将死亡率高峰从寒冷季节转移到干旱、温带和大陆地区的温暖季节,并在所有地区(除干旱地区外)增加了季节性的规模到本世纪末。与 21 世纪相比,在 SSP5-8.5(最高排放)情景下,峰值到低谷比(相对比例)的变化范围为 0.96 至 1.11,归因分数的变化范围为 0.002% 至 0.06%。
气候变暖可能会极大地改变未来死亡率的季节性。我们的预测表明,医疗保健系统应考虑在温暖季节增加需求和寒冷季节持续高需求的情况下做好准备,特别是在干旱、温带和大陆气候特征明显的地区。
日本环境省提供的环境修复与保护机构环境研究与技术开发基金。