Table 2.
Bayesian multivariate linear regression model estimation of environmental factors with CFR of COVID-19.
| Covariates | Case fatality rate |
|
|---|---|---|
| Mean Coefficient (CI) | MCSE | |
| Temperature (°C) | 40.890***(40.782,41.002) | 0.0087 |
| RH | 20.790***(20.454,21.157) | 0.0217 |
| AOD | 0.997***(0.865,1.132) | 0.0108 |
| SO2 (mol/km2) | −1.170***(-1.276, −1.076) | 0.0135 |
| NO2 (mol/km2) | 16.540***(16.392,16.674) | 0.0183 |
| O3 (mol/km2) | 0.126***(0.121,0.131) | 0.0003 |
Note: ***-p<0.001; **- p < 0.01; *-p<0.05; MCSE: Monte Carlo Standard error; RH: Relativehumidity, AOD: Aerosol Optical Depth, SO2: Sulphurdioxide, NO2: Nitrogendioxide, O3: Ozone,Controlled for hospital beds, cardiovascular disease, respiratory disease,Gross State Domestic Product, urban , population density, dependency ratio.