Table 5.
Location | NIPa | DONb | DINb | ||||||
---|---|---|---|---|---|---|---|---|---|
Estimate | Odds ratio | p | Estimate | Ratio | p | Estimate | Ratio | p | |
β | e β | ||||||||
Bilthoven | − 0.1949 | 0.823 | 0.0037 | 0.1669 | 1.1816 | 0.0071 | − 0.0473 | 0.9538 | 0.4939 |
Dronten | − 0.0700 | 0.932 | 0.3200 | -0.1908 | 0.8263 | 0.0180 | − 0.2273 | 0.7967 | 0.0100 |
Ede | − 0.1787 | 0.836 | 0.0014 | 0.0152 | 1.0153 | 0.7629 | − 0.224 | 0.7993 | 7.68e-06 |
Gieten | − 0.0453 | 0.956 | 0.3890 | 0.1024 | 1.1078 | 0.0729 | 0.0493 | 1.0505 | 0.433 |
Hoog Baarlo | − 0.2172 | 0.805 | 0.0035 | 0.1622 | 1.1761 | 0.0037 | − 0.1464 | 0.8638 | 0.0185 |
Kwade Hoek | 0.1292 | 1.030 | 0.1316 | − 0.0101 | 0.9900 | 0.9357 | 0.1211 | 1.1287 | 0.5589 |
Montferland | − 0.1024 | 0.903 | 0.0458 | 0.0365 | 1.0372 | 0.3709 | − 0.0799 | 0.9232 | 0.218 |
Schiermonnikoog | 0.0109 | 1.011 | 0.8920 | 0.0004 | 1.0004 | 0.9928 | − 0.0631 | 0.9388 | 0.4740 |
Twiske | − 0.1877 | 0.829 | 0.0003 | 0.0966 | 1.1014 | 0.0359 | − 0.0926 | 0.9116 | 0.2075 |
Vaals | NAc | NAc | NAc | − 0.0866 | 0.9170 | 0.2849 | 0.0327 | 1.0332 | 0.7296 |
Veldhoven | − 0.0074 | 0.993 | 0.9256 | 0.2385 | 1.2693 | 5.72e-08 | 0.1069 | 1.1128 | 0.2268 |
Wassenaar | − 0.0547 | 0.947 | 0.0419 | 0.0959 | 1.1006 | 0.0241 | 0.0747 | 1.0776 | 0.0926 |
All locations | − 0.0843 | 0.919 | 4.04e-05 | 0.0705 | 1.0730 | 0.0011 | − 0.0414 | 0.9594 | 0.1130 |
Estimated effect of the numerical value “Year” in model, which indicates the trend over time (over years)
Model outcomes in italics indicate that the model had convergence problems, and we used the squared absolute difference between the month and June (M = (|6-Month|)2 instead of Month
aFor the NIP, the estimate β is obtained using the beta-binomial model, with a logit link. The corresponding estimated odds ratio (calculated as eβ), indicates the ratio between the odds of a tick being infected in 1 year and the next, with an odds ratio > 1 indicating an increase in the prevalence over time and an odds ratio < 1 indicating a decrease
b For the DON and DIN (estimated from negative binomial models with log link), the estimated β can be used to calculate the ratio (eβ) of the estimated numbers of ticks between two consecutive years, with an odds ratio > 1 indicating an increase in numbers and an odds ratio < 1 indicating a decrease in the numbers
cNA indicates that the model-fitting algorithm did not converge