Table 6.
Predicted number of COVID-19 cases according to nodes attributes.
| Prediction at |
Community |
||||
|---|---|---|---|---|---|
| In-degree (model 2); W. In-degree (model 4) |
Light Green (hub Bogota) | Orange (hub Cali) | Purple (hub Santa Marta) | Blue (hub Medellin) | Dark green (hub Cucuta) |
| Mean (baseline) | 13.3*; 13.4** | 7.3; 7.6 | 13.4; 7.6 | 2.1; 2.2 | 5.5; 5.6 |
| +1; +1500 | 14.8; 15.2 | 8.2; 8.6 | 14.9; 8.6 | 2.4; 2.5 | 6.1; 6.4 |
| +1 S.D. | 37.6; 21.2 | 15.7; 11.3 | 35.6; 11.3 | 5.4; 3.3 | 11.4; 7.5 |
| +2 S.D. | 106.4; 33.6 | 33.9; 16.9 | 95.57; 16.7 | 13.9; 4.9 | 23.7; 10.1 |
| +3 S.D. | 301.3; 53.3 | 72.9; 25.2 | 259.5; 25.2 | 35.7; 7.2 | 49.5; 13.6 |
Notes:Prediction for the subsample of nodes with positive COVID-19 cases (i.e., excludes nodes with no cases) are all statistically significant at the 1% level. *Predicted cases according to in-degree centrality; **Predicted cases according to weighted in-degree centrality.