Table 5. Poisson multivariate regression model for the analysis of the effect of quarter on the occurrence of hemorrhagic fever with renal syndrome in each age group of the nationwide and Yeoncheon cohorts.
| Nationwide | Yeoncheon | ||||
|---|---|---|---|---|---|
| Relative risk (95% CI) | P-value | Relative risk (95% CI) | P-value | ||
| 1st quarter | ≤29 | Reference | Reference | ||
| ≥30 | Reference | Reference | |||
| 2nd quarter | ≤29 | 1.012 (0.745 – 1.376) | 0.938 | 1.500 (0.251 – 8.977) | 0.657 |
| ≥30 | 0.992 (0.878 – 1.121) | 0.901 | 1.111 (0.451 – 2.734) | 0.819 | |
| 3rd quarter | ≤29 | 1.284 (0.960 – 1.717) | 0.092 | 1.500 (0.251 – 8.977) | 0.657 |
| ≥30 | 1.328 (1.185 – 1.488) | <0.001 | 1.444 (0.617 – 3.379) | 0.396 | |
| 4th quarter | ≤29 | 3.901 (3.056 – 4.980) | <0.001 | 2.500 (0.485 – 12.886) | 0.273 |
| ≥30 | 7.372 (6.726 – 8.080) | <0.001 | 1.889 (0.842 – 4.237) | 0.123 | |
CI, confidence interval.
The dependent variable is the occurrence of hemorrhagic fever with renal syndrome.