Table 2.

AIC-Ranking of Candidate Logistic Regression Models as Predictors of the Probabilities of Pseudorabies Virus (PrV) and Brucella spp. Exposure, Respectively.

Pathogen	Model	Ka	ΔAICb	$R_{\text{adj}}^2$
PrV	Migration + Age + OCc + AGd + OC × AG + Site	8	0.00	0.22
	Migration + Age + FWe + OC + AG + OC × AG + Site	9	0.54	0.22
	Migration + Age + Sex + HFf + OC + FW + LRg + AG + ANh + HF × AG + OC × AG + FW × AG + LR × AG + AN × AG	16	21.86	0.14
	Null model	2	53.31	0
Brucella spp.	Migration + site	4	0.00	0.11
	Null model	2	13.02	0
	Migration + Age + Sex + HF + OC + FW + LR + AG + AN + HF × AG + OC × AG + FW × AG + LR × AG + AN × AG	16	13.62	0.06

Only models with ΔAIC < 2, and null and fixed-effects-only models are presented

^aNumber of estimable parameters

^bDifference in AIC between given model and model with minimum AIC

^cOpen canopy (pine, prairie, and scrub)

^dAgriculture

^eFreshwater wetland

^fHardwood forest

^gLake and river

^hAnthropogenic