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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)