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Table 4 Relative risk of daily mortality and EHAs for percentile of mean temperature in warm season a (cumulative lag effects)

From: Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia

Intensity of percentile

Unadjusted RR [95% CI]

AdjustedbRR [95% CI]

Deaths

EHAs

Deaths

EHAs

Lags 0-1

≥99%

1.66 [1.47 - 1.88]

1.27 [1.22 - 1.33]

1.58 [1.39 - 1.79]

1.20 [1.15 - 1.26]

≥98%

1.36 [1.24 - 1.49]

1.20 [1.16 - 1.23]

1.30 [1.18 - 1.43]

1.14 [1.10 - 1.18]

≥97%

1.33 [1.23 - 1.44]

1.14 [1.11 - 1.17]

1.28 [1.18 - 1.39]

1.10 [1.07 - 1.13]

≥96%

1.26 [1.18 - 1.34]

1.13 [1.11 - 1.16]

1.21 [1.13 - 1.30]

1.12 [1.09 - 1.14]

≥95%

1.24 [1.17 - 1.32]

1.13 [1.10 - 1.15]

1.20 [1.12 - 1.28]

1.11 [1.09 - 1.14]

≥90%

1.16 [1.11 - 1.22]

1.07 [1.05 - 1.08]

1.12 [1.06 - 1.17]

1.08 [1.06 - 1.10]

Lags 0-2

≥99%

1.64 [1.47 - 1.83]

1.26 [1.21 - 1.31]

1.57 [1.40 - 1.76]

1.20 [1.15 - 1.25]

≥98%

1.35 [1.24 - 1.46]

1.18 [1.14 - 1.21]

1.30 [1.19 - 1.42]

1.13 [1.10 - 1.16]

≥97%

1.29 [1.20 - 1.38]

1.14 [1.12 - 1.17]

1.25 [1.16 - 1.35]

1.11 [1.08 - 1.14]

≥96%

1.23 [1.16 - 1.30]

1.13 [1.11 - 1.15]

1.19 [1.12 - 1.27]

1.11 [1.09 - 1.13]

≥95%

1.21 [1.14 - 1.28]

1.12 [1.10 - 1.14]

1.17 [1.10 - 1.25]

1.10 [1.08 - 1.13]

≥90%

1.15 [1.10 - 1.20]

1.07 [1.06 - 1.08]

1.11 [1.06 - 1.16]

1.08 [1.06 - 1.10]

Lags 0-3

≥99%

1.53 [1.38 - 1.70]

1.25 [1.20 - 1.30]

1.47 [1.32 - 1.64]

1.20 [1.15 - 1.24]

≥98%

1.31 [1.21 - 1.42]

1.17 [1.14 - 1.20]

1.27 [1.17 - 1.38]

1.13 [1.10 - 1.16]

≥97%

1.25 [1.17 - 1.33]

1.14 [1.11 - 1.16]

1.21 [1.13 - 1.30]

1.11 [1.08 - 1.13]

≥96%

1.20 [1.14 - 1.27]

1.12 [1.10 - 1.14]

1.17 [1.11 - 1.24]

1.11 [1.09 - 1.13]

≥95%

1.19 [1.13 - 1.25]

1.12 [1.10 - 1.13]

1.16 [1.09 - 1.22]

1.10 [1.08 - 1.12]

≥90%

1.13 [1.09 - 1.18]

1.07 [1.06 - 1.08]

1.10 [1.05 - 1.15]

1.08 [1.06 - 1.09]

  1. EHAs emergency hospital admissions, RR relative risk, CI confidence interval.
  2. aWarm season: 1st Nov. to 31st Mar. (next year).
  3. bConfounders including long-term trends, day of week, humidity, PM10, NO2 and O3.