Table 3.
Theme | Parameters (independent) | Model fitting results (COVID-19 as dependent variable) | ||||
---|---|---|---|---|---|---|
Estimated coefficient | Standard error | T | p value | R2 | ||
Air pollutant | PM2.5 | 0.645 | 0.295 | 2.187 | 0.029 | .84 |
NO2 | 0.112 | 0.305 | 0.368 | 0.713 | ||
AOT | 0.816 | 0.322 | 2.531 | 0.011 | ||
SO2 | 0.200 | 0.416 | 0.481 | 0.630 | ||
CO | − 0.562 | 0.296 | − 1.900 | 0.057 | ||
Water vapor | − 3.043 | 0.784 | − 3.881 | 0.015 | ||
O3 | 2.257 | 0.556 | 4.059 | 0.013 | ||
Geo-meteorological | DEM | 0.361 | 0.105 | 3.428 | 0.012 | .73 |
Wind pressure | − 0.260 | 0.162 | − 1.604 | 0.015 | ||
LST | 0.236 | 0.126 | 1.883 | 0.040 | ||
Rainfall | 0.439 | 0.163 | 2.693 | 0.017 | ||
Wind speed | 0.212 | 0.102 | 2.077 | 0.038 | ||
Social | Pop density | 0.318 | 0.116 | 2.738 | 0.016 | .70 |
Brickfield | 0.212 | 0.095 | 2.233 | 0.026 | ||
Poverty | − 0.283 | 0.119 | − 2.382 | 0.017 | ||
Land use | 0.165 | 0.104 | 1.591 | 0.112 | ||
Literacy | 0.047 | 0.098 | 0.481 | 0.630 |