Table 2.
Predictors | Coef. | Std. Err. | (95% CI) | P-value |
---|---|---|---|---|
Vaccine coverage |
-0.076 |
0.025 |
(-0.126, -0.027) |
0.002 |
Government effectiveness score |
-0.076 |
0.014 |
(-0.102, -0.049) |
<0.001 |
Transport infrastructure quality index |
0.075 |
0.019 |
(0.038, 0.113) |
<0.001 |
Population aged 65 or older (%) |
0.054 |
0.024 |
(0.008, 0.100) |
0.022 |
Hospital beds per 1000 population |
0.001 |
0.038 |
(-0.073, 0.075) |
0.981 |
Gross domestic product per capita (log) |
-0.042 |
0.016 |
(-0.073, -0.010) |
0.009 |
Government response stringency index |
-0.010 |
0.014 |
(-0.037, 0.017) |
0.478 |
Time to containment policy (weeks) |
0.045 |
0.018 |
(0.010, 0.080) |
0.012 |
Total tests for COVID-19 per 100 people |
0.001 |
0.001 |
(0.000, 0.003) |
0.045 |
Confirmed cases per 100 people last week | 0.017 | 0.015 | (-0.013, 0.047) | 0.267 |
*Note: The sample had 90 countries and 2200 country-week observations. The standard errors were clustered at the country level. The R-squared value was 0.51. For convenience of interpretation, we multiplied the following variables by 10: government effectiveness score, infrastructure quality index, and gross domestic product per capita (log). Thus the corresponding coefficient should be interpreted on the basis of a 0.1 incremental increase in these variables. In addition, we divided the original value of government response stringency index by 10; thus its coefficient should be interpreted on the basis of a 10 incremental increase. The model included the continent in which a country is located and country random effects.