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Table 4 Influences on excess mortality based on the best spatial regression models

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

Variables Spatial error (lag 1): predicted total mortality on dusty day (95% confidence intervals) Spatial error (lag 1): predicted total mortality on non-dusty day (95% confidence intervals) Excess mortality (%)
SVF (in 10%) −2.0 [−2.5, −1.5]* −1.9 [−2.3, −1.5]* −5.3
% low education (in 10%) 1.6 [0.7, 2.5]* 1.5 [0.7, 2.2]* 6.7
% low income (in 10%) 0.7 [0.0, 1.4] 0.6 [0.0, 1.2] 16.7
% elderly (in 10%) −2.1 [−3.4, −0.8]* −1.8 [−2.9, −0.7]* −16.7
  1. * Are the results with significant p values (<0.05)