Table 2. Multivariate logistic regression model of bTB infection status according to network centrality indicators: model including the ingoing infection chain (complete model, AIC = 684).

		Number of cases	Number of controls	Odds-ratio (95% CI)	p-value
Ingoing Contact Chain
	[0–11,500]	58	90	Ref
	]11,500–192,000]	76	72	1.7 (0.9–3.5)	0.12
	]192,000–206,000]	76	72	1.4 (0.7–3.0)	0.34
	]206,000–220,000]	86	62	2.2 (1.0–4.7)	0.04
Node betweenness
	0	44	64	Ref
	]0–1.28x10-6]	56	77	0.8 (0.4–1.8)	0.72
	]1.28x10-6–1.03x10-5]	78	63	1.2 (0.5–2.6)	0.33
	]1.03x10-5–0.0733]	118	92	1.5 (0.7–2.8)	0.12
Distance to the nearest infected herd (km)
	0	133	21	Ref
	]0–8.46]	89	57	0.2 (0.1–0.4)	< 0.001
	]8.46–24.7]	34	112	0.03 (0.01–0.05)	< 0.001
	]24.7–710]	40	106	0.01 (0.01–0.03)	< 0.001
Herd size
	[0–18.1]	58	84	Ref
	]18.1–41.8]	77	64	2.9 (1.2–7.3)	0.02
	]41.8–74.4]	75	68	2.7 (1.1–7.0)	0.04
	]74.4–374]	86	80	2.2 (0.8–6.0)	0.12
Herd type
	Beef	181	140	Ref
	Other	66	77	1.1 (0.4–2.6)	0.91
	Dairy	33	67	0.4 (0.2–0.8)	0.007
	Mixed	16	12	1.2 (0.4–3.5)	0.70