Skip to main content
. Author manuscript; available in PMC: 2021 Jun 15.
Published in final edited form as: Front Environ Sci. 2014 Feb 19;2:3. doi: 10.3389/fenvs.2014.00003

Table 4 ∣.

Excess mortality attributable to climate change-induced temperature increase in six cities, South Korea.

Climate scenario Year (Unit: death count per year)
Shifteda Mean (95% CI) Addedb Mean (95% CI) Total Mean (95% CI)
ALL-CAUSE MORTALITY
RCP 4.5 2041–2070 388.1 ( 243.6, 548.7) 111.8 ( 69.5, 154.5) 499.9 ( 313.1, 703.1)
2071–2100 504.7 ( 315.9, 715.9) 261.0 ( 162.1, 360.0) 765.7 ( 478.0, 1076.8)
RCP 8.5 2041–2070 619.2 ( 386.4, 880.9) 389.1 ( 241.3, 539.0) 1,008.4 ( 627.6, 1,420.0)
2071–2100 1,046.7 ( 645.9, 1,505.9) 1,272.9 ( 783.9, 1,775.1) 2,319.5 ( 1,429.8, 3,280.9)
CARDIOVASCULAR MORTALITY
RCP 4.5 2041–2070 149.7 ( 31.8, 275.1) 42.1 ( 9.1, 76.0) 191.8 ( 40.9, 351.1)
2071–2100 195.3 ( 41.1, 362.5) 98.4 ( 21.2, 177.9) 293.7 ( 62.4, 540.4)
RCP 8.5 2041–2070 240.4 ( 50.2, 450.2) 147.0 ( 31.6, 267.1) 387.4 ( 81.7, 717.3)
2071–2100 411.4 ( 83.1, 796.7) 484.3 ( 102.0, 897.7) 895.7 ( 185.1, 1,694.4)
a

“Shifted” effect indicates excess mortality derived from hot days with upper 25% of daily mean temperature during future summer days.

b

“Added” effect indicates excess mortality due to added days with daily mean temperature over threshold in the future.