Table 3.
Predicting contact tracing
| Contact tracing | |||
|---|---|---|---|
| Variables | Odds Ratio (S.E.) | 95% CI | P-value |
| (Intercept) | 0.001 (0.002) | .03 | |
| Release date | 1.524 (0.404) | 0.906, 2.563 | .11 |
| Population (log) | 0.725 (0.220) | 0.400, 1.316 | .29 |
| GDP (log) | 1.477 (0.413) | 0.854, 2.553 | .16 |
| Internet user | 1.011 (0.015) | 0.891, 1.041 | .48 |
| Country-level factors | |||
| Number of cases (log) | 0.831 (0.082) | 0.685, 1.008 | .06 |
| Political system (Democratic=1) | 3.650 (2.013) | 1.238, 10.758 | .02 |
| App-level factors | |||
| Developer (Government=1) | 7.987 (2.711) | 4.106, 15.534 | <.001 |
| Log likelihood | -141.822 | ||
| Pseudo R2 | 17.45 | ||
| N | 251 | ||