Institute of Health and Environment and Graduate School of Public Health, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.
Institute of Health and Environment and Graduate School of Public Health, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.
Environ Int. 2018 May;114:52-59. doi: 10.1016/j.envint.2018.02.024. Epub 2018 Feb 22.
The heterogeneity among previous studies of future mortality projections due to climate change has often hindered comparisons and syntheses of resulting impacts. To address this challenge, the present study introduced a novel method to normalize the results from projection studies according to different baseline and projection periods and climate scenarios, thereby facilitating comparison and synthesis. This study reviewed the 15 previous studies involving projected climate change-related mortality under Representative Concentration Pathways. To synthesize their results, we first reviewed the important study design elements that affected the reported results in previous studies. Then, we normalized the reported results by CO concentration in order to eliminate the effects of the baseline period, projection period, and climate scenario choices. For twenty-five locations worldwide, the normalized percentage changes in temperature-attributable mortality per 100 ppm increase in global CO concentrations ranged between 41.9% and 330%, whereas those of total mortality ranged between 0.3% and 4.8%. The normalization methods presented in this work will guide future studies to provide their results in a normalized format and facilitate research synthesis to reinforce our understanding on the risk of climate change.
由于气候变化导致未来死亡率预测的先前研究存在异质性,这往往阻碍了对相关影响的比较和综合。为了解决这一挑战,本研究引入了一种新方法,根据不同的基线期、预测期和气候情景对预测研究的结果进行标准化,从而便于比较和综合。本研究回顾了 15 项先前涉及代表性浓度路径下与气候变化相关的死亡率预测的研究。为了综合他们的结果,我们首先回顾了影响先前研究报告结果的重要研究设计要素。然后,我们通过 CO 浓度对报告的结果进行了归一化,以消除基线期、预测期和气候情景选择的影响。对于全球 25 个地点,全球 CO 浓度每增加 100ppm,归因于温度的死亡率的归一化百分比变化范围为 41.9%至 330%,而总死亡率的归一化百分比变化范围为 0.3%至 4.8%。本工作中提出的归一化方法将指导未来的研究以标准化格式提供结果,并促进研究综合,以加强我们对气候变化风险的理解。