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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)