Table 1.
Final multiple linear regression model for prediction of COVID-19 mortality
| Term | Coefficient (standard error) | 95% confident interval | P-value |
|---|---|---|---|
| Intercept | 1.7938 (0.1556) | (1.4858, 2.1017) | <0.001 |
| Population density (PopulDens, Ref: 2.4 hundreds of people per km2) | 0.1715 (0.0639) | (0.0451, 0.2979) | 0.008 |
| Proportion of urban population (urban, Ref: 77%) | −0.0079 (0.0068) | (−0.0213, 0.0055) | 0.248 |
| Mean (male, female) proportion of people aged 80 and above (Popul80, Ref: 6.6%) | 0.1682 (0.0361) | (0.0967, 0.2396) | <0.001 |
| Number of hospital beds (beds, Ref: 8.3 per 1 000 people) | −0.1814 (0.0427) | (−0.2658, −0.0970) | <0.001 |
| Incidence of tuberculosis (TBC, Ref: 7.3 per 1 000 people) | 0.0002 (0.0005) | (−0.0008, 0.0011) | 0.696 |
| Average temperature in March (TempMarch, Ref: 3.9°C) | −0.0306 (0.0081) | (−0.0467, −0.0146) | <0.001 |
| GDP per capita (GDP, Ref: 47 thousands of current international $) | 0.0063 (0.0070) | (−0.0075, 0.0202) | 0.367 |
| PopulDens:TBC | 0.0005 (0.0002) | (0.0001, 0.0010) | 0.027 |
| PopulDens:GDP | 0.0065 (0.0020) | (0.0026, 0.0103) | 0.001 |
| Urban:GDP | −0.0004 (0.0002) | (−0.0007, −0.0001) | 0.010 |
| Beds:GDP | −0.0032 (0.0016) | (−0.0062, −0.0001) | 0.043 |
| TempMarch:GDP | −0.0007 (0.0003) | (−0.0013, −0.0002) | 0.011 |
GDP, gross domestic product; Ref, the value for referent country—Germany.