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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)