Table 3.

Poisson Regression for PM 2.5, CO, O3, and NO2 relation with the number of cases and deaths in Kolkata.

Cases	Estimate(β)	Std. Error	Z Value	Exp(β)	Pr(>|Z |)
(Intercept)	6.035e + 00	5.466e-03	1104.18	417.8272092	<2e-16 ***
PM.2.5	−9.291e-04	3.178e-05	−29.24	0.9990713	<2e-16 ***
CO	1.338e-01	1.743e-03	76.77	1.1431811	<2e-16 ***
O3	−9.131e-03	3.367e-04	−27.12	0.9909102	<2e-16 ***
NO2	−2.144e-02	4.853e-04	−44.19	0.9787847	<2e-16 ***
Deaths	Estimate(β)	Std. Error	Z Value	Exp(β)	Pr(>|Z |)
(Intercept)	2.4827882	0.0349290	71.081	11.9746061	< 2e-16 ***
PM.2.5	−0.0005516	0.0002181	−2.528	0.9994486	0.0115 *
CO	0.0986167	0.0120042	8.215	1.1036431	< 2e-16 ***
O3	0.0093066	0.0022151	−4.201	0.9907366	2.65e-05 ***
NO2	0.0265807	0.0032796	−8.105	0.9737695	5.28e-16 ***

“Std. Error = Standard Error; β = Coefficient Estimates; Exp(β) = Exponentiated values. ¥Controlled for temporal trends,⁎Statistically significant”