Table 2.
Poisson Regression for PM 2.5, CO, O3, and NO2 relation with the number of cases and deaths in Mumbai.
| Cases | Estimate(β) | Std. Error | Z Value | Exp(β) | Pr(>|Z |) |
|---|---|---|---|---|---|
| (Intercept) | 7.258e + 00 | 3.127e-03 | 2321.333 | 1419.2734249 | <2e-16 *** |
| PM.2.5 | −8.541e-05 | 4.352e-05 | −1.962 | 0.9999146 | 0.0497 * |
| CO | −4.739e-02 | 1.106e-03 | −42.863 | 0.9537130 | <2e-16 *** |
| O3 | −1.123e-02 | 1.481e-04 | −75.836 | 0.9888282 | <2e-16 *** |
| NO2 | 8.338e-03 | 1.961e-04 | 42.530 | 1.0083733 | <2e-16 *** |
| Deaths | Estimate(β) | Std. Error | Z Value | Exp(β) | Pr(>|Z |) |
| (Intercept) | 4.4300126 | 0.0163669 | 270.670 | 83.9324706 | <2e-16 *** |
| PM.2.5 | −0.0055166 | 0.0003067 | −17.987 | 0.9944986 | <2e-16 *** |
| CO | 0.0097129 | 0.0071987 | 1.349 | 1.0097602 | 0.177 |
| O3 | −0.0095591 | 0.0009256 | −10.328 | 0.9904864 | <2e-16 *** |
| NO2 | −0.0171730 | 0.0012772 | −13.446 | 0.9829736 | <2e-16 *** |
“Std. Error = Standard Error; β = Coefficient Estimates; Exp(β) = Exponentiated values. ¥Controlled for temporal trends,⁎Statistically significant”