Table 2. The pooled relative risks of cold temperature and hot temperature on deaths cumulated over lags of 0–21 days in the 12 countries/regions: 1st versus 10th percentile and 1st versus minimum-mortality temperature percentile.
Estimates were calculated from the distributed lag non-linear model (Figure 1).
| Cold effects | Hot effects | ||||
|---|---|---|---|---|---|
|
| |||||
| County/region | RR (95% CI) |
Minimum-Mortality Temperature Percentile | RR (95% CI) |
||
| 1st versus 10th | 1st versus minimum-mortality temperature percentile | 99th versus minimum-mortality temperature percentile | 99th versus 90th | ||
| Australia | 1.07 (1.03-1.12) | 1.24 (1.14-1.35) | 76 | 1.06 (1.00-1.13) | 1.03 (1.00-1.07) |
| Brazil | 1.05 (1.02-1.07) | 1.14 (1.08-1.21) | 72 | 1.07 (1.02-1.11) | 1.03 (1.01-1.06) |
| Thailand | 1.10 (1.08- 1.12) | 1.25 (1.22-1.29) | 76 | 1.11 (1.08-1.14) | 1.06 (1.04-1.07) |
| China | 1.07 (1.03- 1.11) | 1.22 (1.12-1.34) | 76 | 1.10 (1.03-1.17) | 1.05 (1.02-1.09) |
| Taiwan | 1.11 (1.09-1.13) | 1.35 (1.27-1.44) | 66 | 1.18 (1.12- 1.25) | 1.07 (1.05-1.10) |
| South Korea | 1.03 (1.02-1.04) | 1.18 (1.11-1.25) | 78 | 1.08 (1.04-1.12) | 1.05 (1.03-1.07) |
| Japan | 1.06 (1.04-1.08) | 1.27 (1.21-1.33) | 76 | 1.07 (1.04-1.11) | 1.04 (1.03-1.06) |
| Italy | 1.06 (1.03-1.09) | 1.33 (1.20-1.48) | 74 | 1.30 (1.22-1.39) | 1.14 (1.11-1.17) |
| Spain | 1.08 (1.07-1.09) | 1.26 (1.22-1.32) | 74 | 1.19 (1.16-1.23) | 1.09 (1.08-1.11) |
| United Kingdom | 1.10 (1.09-1.11) | 1.30 (1.27-1.33) | 80 | 1.05 (1.04-1.06) | 1.03 (1.03-1.04) |
| United States | 1.04 (1.03-1.04) | 1.15 (1.13-1.18) | 76 | 1.04 (1.02, 1.06) | 1.02 (1.01, 1.03) |
| Canada | 1.02 (1.00-1.03) | 1.10 (1.05-1.14) | 74 | 1.05 (1.01, 1.09) | 1.03 (1.01, 1.05) |