Model | Type of travel-volume | GLM | GEE |
|---|
Coef1 | p value1 | AUC2 | Coef1 | p value1 | AUC2 |
|---|
AT Model 5 | Total | 0.341 | 0.032 | 0.640 | 0.411 | < 0.001 | 0.542 |
AT Model 6 | 1st class | -15.098 | 0.498 | 0.492 | -21.408 | 0.340 | 0.523 |
AT Model 7 | 2nd class | 8.608 | 0.082 | 0.505 | 10.840 | < 0.001 | 0.547 |
AT Model 8 | Economy class | 0.375 | 0.030 | 0.641 | 0.450 | < 0.001 | 0.542 |
- Note: The response variable is whether there is at least one imported case between two specific countries in a specific year. Independent variables were travel-volume and nominal variable of source countries. As there were four variables for the travel-volume (number of 1st class passengers, number of 2nd class passengers, number of economy class passenger and total number of all passengers), four logistic regression models and four GEE models were fitted using the different travel-volume variables, respectively. The travel-volume variable in these models were rescaled by dividing 10^5 to increase coefficient. P values of Hosmer and Lemeshow goodness of fit in the GLM models were 0.539, 0.667, 0.447, and 0.540 for the model 5–6, respectively, indicating there is no lack of fit for the AT Models
- 1coefficients and p values for travel volume
- 2area under curve for Receiver operating characteristic
