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Table 2 Comparison of spatial and non-spatial models for predicting total mortality during days with prolonged dust events

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

Variables

Multivariate linear: predicted mortality on dusty days (95% confidence intervals)

Spatial error (lag 1): predicted mortality on dusty days (95% confidence intervals)

Spatial error (lag 2): predicted mortality on dusty days (95% confidence intervals)

Spatial error (lag 3): predicted mortality on dusty days (95% confidence intervals)

SVF (in 10%)

−1.8 [−2.2, −1.4]*

−2.0 [−2.5, −1.5]*

−2.0 [−2.5, −1.6]*

−1.8 [−2.2, −1.4]*

% low education (in 10%)

1.6 [0.8, 2.4]*

1.6 [0.7, 2.5]*

1.5 [0.7, 2.4]*

1.5 [0.7, 2.4]*

% low income (in 10%)

0.9 [0.2, 1.6]*

0.7 [0.0, 1.4]

0.8 [0.1, 1.5]*

0.9 [0.2, 1.6]*

% elderly (in 10%)

−2.3 [−3.5, −1.1]*

−2.1 [−0.8, −3.4]*

−2.1 [−3.3, −0.9]*

−2.2 [−3.4, −1.0]*

Lambda

N/A

0.3 [0.1, 0.4]*

0.4 [0.1, 0.6]*

0.1 [−0.2, 0.4]

AIC

1689.6

1679.97

1682.95

1689.03

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