4.8 Article

Predicted temperature-increase-induced global health burden and its regional variability

期刊

ENVIRONMENT INTERNATIONAL
卷 131, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2019.105027

关键词

Projection; Mortality; Climate change; Regional variation; Vulnerability

资金

  1. Global Research Lab through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT (Information and Communication Technologies), and Future Planning [K21004000001-10A0500-00710]
  2. National Research Foundation of Korea as NRF-SNSF Researcher Exchange Program [NRF-2018K2A9A1A06086694]
  3. Medical Research Council UK [MR/M022625/1]
  4. Natural Environment Research Council UK [NE/R009384/1]
  5. Czech Science Foundation [18-22125S]
  6. Estonian Ministry of Education and Research [IUT34-17]
  7. Research Council for Health, Academy of Finland [266314, 310372]
  8. Environmental Restoration and Conservation Agency [S-14]
  9. Japan Society for the Promotion of Science (JSPS) [S18149]
  10. MRC [MR/R013349/1, MR/M022625/1] Funding Source: UKRI
  11. NERC [NE/R009384/1] Funding Source: UKRI

向作者/读者索取更多资源

An increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO2 concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010-2099 is largest in Canada (1.16 degrees C/100 ppm) and Finland (1.14 degrees C/100 ppm), while it is smallest in Ireland (0.62 degrees C/100 ppm) and Argentina (0.63 degrees C/100 ppm). In addition, for each 1 degrees C temperature increase, the amount of excess mortality is increased largely in tropical countries such as Vietnam (10.34%p degrees C) and the Philippines (8.18%p degrees C), while it is decreased in Ireland (-0.92%p degrees C) and Australia (-0.32%p degrees C). To understand the regional variability in temperature increase and mortality, we performed a regression-based modeling. We observed that the projected temperature increase is highly correlated with daily temperature range at the location and vulnerability to temperature increase is affected by health expenditure, and proportions of obese and elderly population.

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