Table 2.
Best-fit models explaining variation in Borrelia burgdorferi (s.l.), B. afzelii and B. garinii prevalence in questing nymphs. Data from all sites and years are included, no measure of deer abundance is included. Results for each of the best-fit models are shown in each case. Delta AICc indicates the change in AICc after removing each variable from the best-fit model
| Model description | Fixed effects | Mean (Estd) | SE | P-value | Delta AICc |
|---|---|---|---|---|---|
| B. burgdorferi (s.l.) prevalence | Intercept | -5.1 | 0.55 | < 2 × 10-16 | – |
| Location (Mainland vs Island) | 1.6 | 0.6 | 0.0074 | 3.4 | |
| Year (2013 vs 2011) | -1.1 | 0.65 | 0.10 | 0.75 | |
| Year (2015 vs 2011) | 0.38 | 0.61 | 0.54 | ||
| Model to predict B. afzelii prevalence | Intercept | -9.1 | 1.2 | 1.2 × 10-13 | – |
| Location (Mainland vs Island) | 3.2 | 1.2 | 0.0082 | 5.0 | |
| Model to predict B. garinii prevalence | Intercept | -6.1 | 0.59 | < 2 × 10-16 | – |
| Model to predict B. burgdorferi (s.s.) prevalence | Intercept | -10.8 | 1.8 | 4.2 × 10-9 | – |
| Model to predict combined B. burgdorferi (s.s.), B. garinii and B. valaisiana prevalence | Intercept | 5.1 | 0.38 | < 2 × 10-16 | – |