Table 2.

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

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

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