Table 3.

Results of the mixed-effect logistic regression model with (a) PCR-positive cases (2018–2019) considering outcome 1 and (b) young seropositive cases (2019–2020) considering outcome 2. Data are reported as the adjusted odds ratio (OR_adj), 95% confidence intervals (95% CI), and p-values.

Outcome 1: PCR-Positive 2018–2019	Variables	ORadj	95% CI	p-Value
	Presence of PCR-positive 2017–2018	18.71	11.55–30.29	<0.0001
	Adult Seropositive 2018–2019	1.83	1.66–2.01	<0.0001
	Altitude >500 mamsl	7.69	4.98–11.88	<0.0001
	Forest (by 1 km2)	1.53	1.18–2.52	0.001
		Sd	SE	95% CI
Random-effect	grid	3.128	0.905	1.730–5.652
LR test vs. logistic regression: 3.71, p-value = 0.025
		ICC	SE	95% CI
Residual intraclass correlation	grid	0.782	0.127	0.588–0.919
Outcome 2: Young Seropositive 2019–2020	Variables	ORadj	95% CI	p-Value
	Adult Seropositive 2019–2020	2.07	1.53–2.80	<0.0001
	Wild boar density	1.04	1.01–1.07	0.028
	Altitude >500 mamsl	1.68	1.27–2.22	<0.0001
	Forest (by 1 km2)	2.13	1.77–2.54	<0.0001
		Sd	SE	95% CI
Random-effect	grid	1.145	0.699	0.338–3.717
LR test vs. logistic regression: 19.01, p-value = 0.002
		ICC	SE	95% CI
Residual intraclass correlation	grid	0.906	0.002	0.893–0.998