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Table 2 Population mobility and number 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 4.192*** 3.871–4.512 0.329 4.418*** 2.676–6.160 0.351 144
Model 2: Lag 6 days 4.664*** 4.080–5.248 0.347 5.219*** 3.747–6.691 0.380 160
Model 3: Lag 7 days 5.758*** 4.277–7.239 0.356 6.274*** 4.252–8.296 0.397 176
Model 4: Lag 8 days 6.608*** 4.964–8.252 0.368 7.074*** 5.214–8.933 0.398 192
Model 5: Lag 9 days 7.510*** 6.281–8.739 0.385 8.609*** 6.416–10.802 0.412 208
Model 6: Lag 10 days 9.136*** 8.383–9.888 0.433 12.166*** 8.291–16.040 0.455 224
Model 7: Lag 11 days 10.600*** 9.592–11.608 0.451 15.184*** 9.591–20.777 0.487 240
Model 8: Lag 12 days 10.812*** 8.932–12.693 0.463 14.996*** 9.293–20.698 0.482 256
Model 9: Lag 13 days 11.005*** 9.367–12.643 0.460 15.113*** 10.035–20.190 0.480 256
Model 10: Lag 14 days 11.410*** 10.028–12.792 0.458 16.171*** 10.538–21.805 0.480 256
Model 11: Lag 15 days 11.584*** 10.005–13.164 0.449 16.626*** 9.724–23.527 0.472 256
Model 12: Lag 16 days 11.751*** 9.861–13.641 0.444 17.086*** 9.118–25.054 0.466 256
  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