Table 3. Results from risk model for gastrointestinal illness consultations’ deviation from baseline model over municipalities with Campylobacter data, Norway, week 30 2010–week 11 2022 (n = 102 municipalities).
| Covariate (lag) | Lag | OR | 95% CI | Risk ratio over covariate quantiles | p value |
|---|---|---|---|---|---|
| Intercept | NA | 0.015 | 0.012 to 0.020 | NA | < 0.001 |
| Temperature SD | 1 week | 1.136 | 1.03 to 1.26 | 1.91 | 0.014 |
| Freezing temperature | 1 week | 1.748 | 1.09 to 2.80 | 1.54 | 0.021 |
| Number of Campylobacter samples taken | 1 week | 0.938 | 0.882 to 0.99 | 0.62 | 0.040 |
| Precipitation (mm) | 2 weeks | 1.027 | 1.005 to 1.05 | 1.49 | 0.013 |
| Freezing temperature | 3 weeks | 0.359 | 0.085 to 1.51 | 0.66 | 0.163 |
| Campylobacter proportion | 2 weeks | 1.004 | 1.0002 to 1.009 | 1.73 | 0.036 |
| Number of municipality flocks | 2 weeks | 1.013 | 1.001 to 1.026 | 1.70 | 0.030 |
CI: confidence interval; NA: not applicable: OR: odds ratio; SD: standard deviation.
Weather and Campylobacter covariates were chosen to minimise Akaike’s information criterion (AIC). Weather data come from the Norwegian Meteorological Institute and Campylobacter spp sampling from the Norwegian surveillance programme of broiler flocks [24].