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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
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Global Health Research and Policy

ISSN: 2397-0642

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