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Projections of temperature-related excess mortality under climate change scenarios

机译:气候变化情景下与温度有关的超额死亡率的预测

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摘要

Background: Climate change can directly affect human health by varying exposure to non-optimal outdoor temperature. However, evidence on this direct impact at a global scale is limited, mainly due to issues in modelling and projecting complex and highly heterogeneous epidemiological relationships across different populations and climates. Methods: We collected observed daily time series of mean temperature and mortality counts for all causes or non-external causes only, in periods ranging from Jan 1, 1984, to Dec 31, 2015, from various locations across the globe through the Multi-Country Multi-City Collaborative Research Network. We estimated temperature-mortality relationships through a two-stage time series design. We generated current and future daily mean temperature series under four scenarios of climate change, determined by varying trajectories of greenhouse gas emissions, using five general circulation models. We projected excess mortality for cold and heat and their net change in 1990-2099 under each scenario of climate change, assuming no adaptation or population changes. Findings: Our dataset comprised 451 locations in 23 countries across nine regions of the world, including 85 879 895 deaths. Results indicate, on average, a net increase in temperature-related excess mortality under high-emission scenarios, although with important geographical differences. In temperate areas such as northern Europe, east Asia, and Australia, the less intense warming and large decrease in cold-related excess would induce a null or marginally negative net effect, with the net change in 2090-99 compared with 2010-19 ranging from -1·2% (empirical 95% CI -3·6 to 1·4) in Australia to -0·1% (-2·1 to 1·6) in east Asia under the highest emission scenario, although the decreasing trends would reverse during the course of the century. Conversely, warmer regions, such as the central and southern parts of America or Europe, and especially southeast Asia, would experience a sharp surge in heat-related impacts and extremely large net increases, with the net change at the end of the century ranging from 3·0% (-3·0 to 9·3) in Central America to 12·7% (-4·7 to 28·1) in southeast Asia under the highest emission scenario. Most of the health effects directly due to temperature increase could be avoided under scenarios involving mitigation strategies to limit emissions and further warming of the planet. Interpretation: This study shows the negative health impacts of climate change that, under high-emission scenarios, would disproportionately affect warmer and poorer regions of the world. Comparison with lower emission scenarios emphasises the importance of mitigation policies for limiting global warming and reducing the associated health risks.
机译:背景:气候变化可以通过改变暴露于非最佳室外温度的方式直接影响人类健康。但是,在全球范围内对这种直接影响的证据有限,这主要是由于在建模和预测不同人群和气候之间的复杂且高度异质的流行病学关系方面存在问题。方法:我们收集了从1984年1月1日至2015年12月31日期间从全球各地通过多国进行的所有原因或非外部原因的每日平均温度和死亡率计数的观测时间序列多城市合作研究网络。我们通过两阶段时间序列设计来估算温度与死亡率的关系。我们使用五种一般循环模型,根据四种温室气体排放情景,通过变化的温室气体排放轨迹确定了当前和未来的每日平均温度序列。我们假设在没有气候变化或人口变化的情况下,在每种气候变化情景下,在1990-2099年期间,冷热的超额死亡率及其净变化。调查结果:我们的数据集涵盖了世界9个地区的23个国家/地区的451个地点,其中包括85 879 895人死亡。结果表明,尽管存在重要的地理差异,但在高排放情景下,与温度相关的超额死亡率平均有所增加。在温带地区,如北欧,东亚和澳大利亚,变暖程度较弱和与寒冷相关的过量减少幅度较大,将导致净负面影响或零影响,与2010-19年相比,2090-99年的净变化为在排放最高的情况下,从澳大利亚的-1·2%(经验值95%CI -3·6到1·4)到东亚的-0·1%(-2·1到1·6),尽管减少了在本世纪中,趋势将逆转。相反,较热的地区,例如美洲的中部和南部或欧洲,尤其是东南亚,将遭受与热有关的影响激增,净增长非常大,本世纪末的净变化范围为在最高排放情景下,中美洲的3·0%(-3·0至9·3)到东南亚的12·7%(-4·7至28·1)。在涉及缓解策略以限制排放和地球进一步变暖的情况下,可以避免直接由于温度升高而产生的大多数健康影响。解释:这项研究表明,在高排放情景下,气候变化对健康的负面影响将不成比例地影响世界上较温暖和较贫穷的地区。与低排放情景的比较强调了缓解政策对于限制全球变暖和减少相关健康风险的重要性。

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