PMC:7510993 / 10645-11831 JSONTXT 4 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T50 0-263 Sentence denotes To control for country/region-specific observation biases, we included the length of time (measured in days) since the first confirmed COVID-19 case in each country/region and the number of COVID-19 tests conducted (as a measure of sampling effort) as covariates.
T51 264-549 Sentence denotes In addition, we applied the trend surface method to take spatial autocorrelation into account as a covariate; we added the first eigenvector of the geo-distance matrix among the countries or regions, which was computed using the geocoordinates of the largest city, as a covariate [16].
T52 550-649 Sentence denotes The explanatory power of the model was evaluated by the adjusted coefficient of determination (R2).
T53 650-893 Sentence denotes We also calculated the relative importance of each explanatory variable in a regression model according to its partial coefficient of determination and determined the predominant variables that explained the variance in the response variables.
T54 894-976 Sentence denotes The statistical significance of each variable was determined by conducting F-test.
T55 977-1092 Sentence denotes All the explanatory variables were standardized to have a mean of zero and a variance of one before these analyses.
T56 1093-1186 Sentence denotes The explanatory factors of the regression model were compared between the four country types.