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Table 3 Comparison of spatial and non-spatial models for predicting total mortality during days without 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 non-dusty days (95% confidence intervals)

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

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

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

SVF (in 10%)

−1.7 [−2.1, −1.4]*

−1.9 [−2.3, −1.5]*

−2.0 [−2.4, −1.6]*

−1.8 [−2.1, −1.4]*

% low education (in 10%)

1.5 [0.8, 2.2]*

1.5 [0.7, 2.2]*

1.4 [0.7, 2.2]*

1.4 [0.7, 2.1]*

% low income (in 10%)

0.8 [0.2, 1.4]*

0.6 [0.0, 1.2]

0.7 [0.1, 0.3]*

0.8 [0.2, 1.4]*

% elderly (in 10%)

−2.1 [−3.1, −1.1]*

−1.8 [−2.9, −0.7]*

−1.9 [−2.9, −0.9]*

−1.9 [−3.0, −0.9]*

Lambda

N/A

0.3 [0.2, 0.5]*

0.4 [0.2, 0.6]*

0.2 [−0.1, 0.5]

AIC

1612.48

1582.04

1585.25

1610.28

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