Table 1.
Linear regression models explaining CoVID-19 delay in different countries and due to toxoplasmosis and Gross Domestic Product (GDP) per capita.
Estimate | Std. error | t value | P | |
---|---|---|---|---|
Model 1—without spatial covariate, AICc = 701.163, r2 = 0.368 | ||||
Intercept | − 2.054 | 4.548 | − 0.452 | 0.653 |
Toxoplasmosis | 0.259 | 0.093 | 2.775 | 0.007 |
GDP | − 0.316 | 0.076 | − 4.166 | < .001 |
Model 2—with spatial covaritesa, AICc = 682.523, r2 = 0.523 | ||||
Intercept | 2.785 | 4.101 | 0.679 | 0.499 |
Toxoplasmosis | 0.104 | 0.089 | 1.162 | 0.249 |
GDP | − 0.292 | 0.067 | − 4.354 | < .001 |
aFor spatial covariates details, see Supplementary Information 1.