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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
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Global Health Research and Policy

ISSN: 2397-0642

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