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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)