Table 4.
Correlation of population variables and epidemic statistics as seen and predicted by the model.
| Full dataset | |||||
|---|---|---|---|---|---|
| Epidemic statistic | Population variable | Correlation observed in real dataa | Correlation predicted by the modela | ||
| r | P | r | P | ||
| Worldwide | |||||
| Peak week | Air traffic to/from North America | -0.30 | 0.042 | -0.30 | 0.044 |
| Peak week | Longitudeb | 0.27 | 0.071 | 0.42 | 0.003 |
| Peak week | Latitudeb | -0.15 | 0.317 | 0.02 | 0.882 |
| Peak week | Vaccine uptake | -0.37 | 0.069 | -0.38 | 0.060 |
| Attack rate reduction, % | Vaccine uptake | 0.73 | < 0.001 | ||
| European countries only | |||||
| Peak week | Intra-EU air traffic | -0.15 | 0.391 | -0.48 | 0.003 |
| Peak week | Air traffic to/from North America | -0.26 | 0.151 | -0.37 | 0.003 |
| Peak week | Longitudeb | 0.54 | < 0.001 | 0.74 | < 0.001 |
| Peak week | Latitudeb | -0.32 | 0.07 | -0.23 | 0.178 |
| Peak week | Vaccine uptake | -0.29 | 0.204 | -0.28 | 0.212 |
| Attack rate reduction, % | Vaccine uptake | 0.69 | < 0.001 | ||
aValues of the Pearson's correlation coefficient, r, along with the corresponding P value, were measured between the epidemic statistics and the population variables of the countries appearing in Figure 5.
bLongitude and latitude are those of the capital city of the country.