Table 4.

Fitted relative risk for the parameters via zero-inflated Poisson regression model

	Mean	0.025Q	0.975Q	SD
(Intercept)	1.25	1.10	1.44	1.07
sin12	0.92	0.83	1.02	1.06
cos12	1.00	0.93	1.07	1.04
sin6	0.99	0.92	1.06	1.04
cos6	0.97	0.91	1.02	1.03
Tuesday	0.99	0.86	1.14	1.07
Wednesday	0.91	0.79	1.05	1.08
Thursday	0.97	0.84	1.12	1.08
Friday	1.05	0.92	1.21	1.07
Saturday	0.82	0.71	0.96	1.08
Sunday	0.79	0.68	0.92	1.08
Holidays	0.71	0.51	0.98	1.18
Day	0.78	0.59	1.03	1.15
Median income	0.80	0.70	0.92	1.07
% No-insurance	1.00	0.87	1.16	1.08
No.Health Fac.	1.05	0.99	1.12	1.03
% Green space	1.01	0.92	1.12	1.05
Grocery stores	0.97	0.88	1.06	1.05
NO${}_2$	1.14	1.01	1.30	1.06
PM2.5	1.00	0.95	1.06	1.03
O${}_3$	0.92	0.83	1.02	1.06
Non-spatial	1.40	1.29	1.56
Spatial	2.15	1.42	2.66	1.19
DIC	16266.54

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