Table 2 Regression estimates of the effect size of varied spatial characteristics on cumulative incidence proportions (CIP) and incidence rates (CIR).
From: Characterizing COVID-19 waves in urban and rural districts of India
Variable | Log(CIP) first wave | Log(CIP) second wave | Log(CIR) first wave | Log(CIR) second wave |
|---|---|---|---|---|
Urbanization | 0.012*** (0.002) | 0.014*** (0.002) | 0.012*** (0.002) | 0.013*** (0.002) |
Wealth | 0.703*** (0.100) | 0.460*** (0.095) | 0.631*** (0.095) | 0.436*** (0.096) |
Log (population density) | −0.116** (0.055) | −0.151*** (0.039) | −0.134** (0.052) | −0.160*** (0.038) |
Population age | 0.056*** (0.019) | 0.083*** (0.016) | 0.045** (0.019) | 0.081*** (0.016) |
Log (no travel) | −0.198* (0.116) | −0.318*** (0.105) | −0.152 (0.117) | −0.274*** (0.106) |
Log (distance) | −0.082 (0.106) | 0.029 (0.087) | −0.101 (0.101) | 0.019 (0.088) |
Log (1+in-degree (1st wave)) | 0.023* (0.012) | 0.019 (0.012) | ||
Log (1+in-degree (2nd wave)) | 0.006 (0.010) | 0.004 (0.009) | ||
Constant | 8.014*** (0.715) | 7.012*** (0.627) | 2.206*** (0.630) | |
λ | 0.28*** | 0.25*** | 0.31*** | 0.29*** |
Observations | 636 | 639 | 636 | 639 |
State fixed-effects | Yes | Yes | Yes | Yes |
Log-likelihood | −420.830 | −364.894 | −405.872 | −368.335 |
Akaike information Criterion | 927.660 | 815.788 | 897.743 | 822.670 |
Pseudo-R2 | 0.784 | 0.797 | 0.784 | 0.790 |
