Table 3.

Fitted relative risk for the parameters of interests via Poisson regression and spatial random effect model

	Poisson regression model				Spatial random effect model
	Mean	0.025Q	0.975Q	SD	Mean	0.025Q	0.975Q	SD
(Intercept)	1.16	1.04	1.29	1.06	1.19	1.06	1.35	1.06
sin12	0.89	0.80	0.99	1.05	0.92	0.83	1.02	1.06
cos12	1.02	0.95	1.09	1.04	1.00	0.93	1.07	1.04
sin6	0.99	0.92	1.07	1.04	0.99	0.92	1.06	1.04
cos6	0.98	0.92	1.03	1.03	0.97	0.91	1.02	1.03
Tuesday	1.00	0.86	1.15	1.07	0.99	0.86	1.14	1.07
Wednesday	0.90	0.78	1.04	1.08	0.91	0.79	1.05	1.08
Thursday	0.97	0.84	1.12	1.08	0.97	0.84	1.12	1.08
Friday	1.05	0.91	1.21	1.07	1.06	0.92	1.21	1.07
Saturday	0.80	0.69	0.93	1.08	0.82	0.71	0.96	1.08
Sunday	0.76	0.65	0.88	1.08	0.79	0.68	0.92	1.08
Holidays	0.68	0.49	0.93	1.18	0.71	0.51	0.98	1.18
Day	0.77	0.58	1.01	1.15	0.78	0.59	1.04	1.15
Median Income	0.88	0.81	0.95	1.04	0.80	0.70	0.92	1.07
% No-insurance	1.13	1.03	1.24	1.05	1.00	0.86	1.16	1.08
No. Health Fac.	1.04	1.01	1.07	1.01	1.05	0.98	1.12	1.03
% Green space	0.99	0.94	1.04	1.03	1.01	0.92	1.12	1.05
Grocery stores	0.94	0.90	0.99	1.02	0.97	0.88	1.06	1.05
NO${}_2$	0.93	0.83	1.04	1.06	1.15	1.01	1.30	1.06
PM2.5	1.00	0.95	1.05	1.03	1.00	0.95	1.06	1.03
O${}_3$	0.97	0.87	1.07	1.05	0.92	0.83	1.02	1.06
Non-spatial					1.40	1.29	1.55
$\sqrt{{\sigma }_1^2+{\sigma }_2^2}$
Spatial					2.14	1.40	2.66	1.19
${\sigma }_1/\sqrt{{\sigma }_1^2+{\sigma }_2^2}$
DIC	16427.89				16264.55

The significance of italics was determined based on the 95% credible intervals for the fixed effects (known risk factors)