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Table 1 Influences of community factors on excess mortality

From: Spatial variability of excess mortality during prolonged dust events in a high-density city: a time-stratified spatial regression approach

Variables

Predicted total mortality

Change in number of deaths on days with prolonged dust events (95% confidence intervals)

Baseline: number of deaths on days without prolonged dust events (95% confidence intervals)

Excess mortality (%)

SVF (in 10%)

−2.0 [−2.6, −1.3]*

−1.9 [−2.5, −1.3]*

−5.3

% vegetation (in 10%)

0.0 [−0.4, 0.4]

0.0 [−0.3, 0.4]

0

LST (in 1 °C)

−0.1 [−0.6, 0.4]

−0.1 [−0.5, 0.3]

0

% low education (in 10%)

1.7 [0.8, 2.5]*

1.6 [0.9, 2.3]*

6.3

% low income (in 10%)

0.9 [0.2, 1.6]*

0.8 [0.2, 1.4]*

12.5

% elderly (in 10%)

−2.4 [−3.6, −1.1]*

−2.2 [−3.2, −1.1]*

−9.1

  1. * Are the results with significant p values (<0.05)