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Table 1 Population mobility and proportion of confirmed COVID-19 cases: based on RE model

From: Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China

  Panel A Panel B N
Coefficient 95%CI R-square Coefficient 95%CI R-square
Model 1: Lag 5 days 1.145*** 1.003–1.288 0.198 1.049*** 0.592–1.506 0.204 144
Model 2: Lag 6 days 1.175*** 1.021–1.329 0.221 1.206*** 0.788–1.624 0.227 160
Model 3: Lag 7 days 1.199*** 0.984–1.414 0.241 1.226*** 0.715–1.736 0.248 176
Model 4: Lag 8 days 1.220*** 1.021–1.419 0.257 1.210*** 0.813–1.606 0.264 192
Model 5: Lag 9 days 1.230*** 1.041–1.418 0.267 1.176*** 0.776–1.576 0.275 208
Model 6: Lag 10 days 1.283*** 1.123–1.444 0.294 1.263*** 0.888–1.638 0.301 224
Model 7: Lag 11 days 1.353*** 1.253–1.454 0.327 1.444*** 1.158–1.730 0.335 240
Model 8: Lag 12 days 1.354*** 1.200–1.508 0.332 1.395*** 0.989–1.801 0.338 256
Model 9: Lag 13 days 1.379*** 1.265–1.493 0.326 1.384*** 1.095–1.672 0.332 256
Model 10: Lag 14 days 1.430*** 1.291–1.568 0.330 1.478*** 1.144–1.812 0.336 256
Model 11: Lag 15 days 1.455*** 1.311–1.600 0.325 1.486*** 1.145–1.826 0.331 256
Model 12: Lag 16 days 1.468*** 1.304–1.633 0.321 1.478*** 1.089–1.867 0.327 256
  1. Note: *p < 0.05, **p < 0.01, ***p < 0.001. CI: confidence interval. Robust standard error was used in the above models. No other covariate was controlled for in all models in Panel A; spatial distance to Wuhan, per capita GDP, the number of medical and health institutions’ beds and healthcare workers per thousand persons, and population density were controlled for in all models in Panel B