Table 2 Excess death fraction associated with nonoptimal temperatures

From: City-level impact of extreme temperatures and mortality in Latin America

EDF

Totala

All heat

Extreme heatb

All cold

Extreme coldc

All-cause

 All ages (%)

5.75 (5.35, 6.12)

0.67 (0.58, 0.74)

0.42 (0.38, 0.45)

5.09 (4.64, 5.47)

1.03 (0.99, 1.06)

 Ages 65+ (%)

7.63 (7.21, 7.97)

0.81 (0.75, 0.86)

0.55 (0.50, 0.59)

6.82 (6.41, 7.18)

1.36 (1.31, 1.39)

Cardiovascular

 All ages (%)

9.12 (8.48, 9.70)

0.69 (0.64, 0.74)

0.38 (0.36, 0.40)

8.43 (7.79, 9.01)

1.52 (1.48, 1.55)

 Ages 65+ (%)

10.10 (9.17, 10.87)

0.75 (0.68, 0.82)

0.42 (0.38, 0.44)

9.35 (8.35, 10.13)

1.66 (1.59, 1.71)

Respiratory disease

 All ages (%)

10.73 (9.78, 11.50)

1.10 (1.02, 1.18)

0.54 (0.50, 0.57)

9.62 (8.55, 10.39)

1.58 (1.51, 1.63)

 Ages 65+ (%)

10.59 (9.95, 11.07)

1.28 (1.13, 1.40)

0.61 (0.55, 0.65)

9.31 (8.71, 9.78)

1.64 (1.56, 1.69)

Respiratory infections

 All ages (%)

12.09 (11.16, 12.82)

1.56 (1.28, 1.81)

0.81 (0.77, 0.84)

10.53 (9.68, 11.20)

1.92 (1.86, 1.97)

 Ages 65+ (%)

13.63 (12.15, 14.68)

1.84 (1.67, 1.95)

0.98 (0.92, 1.02)

11.79 (10.3, 12.80)

2.01 (1.90, 2.07)

  1. aPercentage of total deaths explainable by temperatures above (‘All heat’) or below (‘All cold’) the city-specific optimal temperature.
  2. b≥95th percentile of the city-specific daily temperature distribution.
  3. c≤5th percentile of the city-specific daily temperature distribution.