Literature DB >> 29477019

Dependence of future mortality changes on global CO2 concentrations: A review.

Jae Young Lee1, Hayoung Choi2, Ho Kim3.   

Abstract

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 CO2 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 CO2 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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Climate change; Heterogeneity; Mortality; Normalization; Projection

Mesh:

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Year:  2018        PMID: 29477019     DOI: 10.1016/j.envint.2018.02.024

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  1 in total

1.  Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design.

Authors:  Aijun Liu; Qiuyun Zhu; Xiaohui Ji; Hui Lu; Sang-Bing Tsai; Jiangtao Wang; Biru Liang
Journal:  Int J Environ Res Public Health       Date:  2018-07-09       Impact factor: 3.390

  1 in total

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