Table 4.
Influences on excess mortality based on the best spatial regression models
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 |
* Are the results with significant p values (<0.05)