Table 2.
AIC values in models including the prevalence in broilers with different weeks of lag and seasonality S = 2
| Lag | Model A | Model B | GLM |
|---|---|---|---|
| −3 | 2407·32 | 2407·54 | 2482·39 |
| −2 | 2407·63 | 2407·42 | 2481·94 |
| −1 | 2407·42 | 2407·5 | 2481·8 |
| 0 | 2407·27 | 2407·23 | 2482·38 |
| 1 | 2404·52 | 2405·3 | 2479·6 |
| 2 | 2401·97 | 2402·4 | 2475·48 |
| 3 | 2407·68 | 2407·53 | 2480·17 |
AIC, Akaike's Information Criterion.
The model with smallest AIC value is given in bold face.
Model A is a model with the prevalence in broilers as endemic component, model B with the prevalence as epidemic component. GLM represents a generalized linear model including prevalence without an autoregressive component.