. Author manuscript; available in PMC: 2015 May 1.

Published in final edited form as: Ecohealth. 2014 Oct 4;12(1):152–163. doi: 10.1007/s10393-014-0979-y

Table 2.

Regression Parameters (β) for the Fitted Landscape Epidemiological Model Show That Temperature Conditions (DD > 0) and Deciduous Forest Habitat (DEC) had the Strongest Effects on Lyme Disease Risk in MN from 1996 to 2011

Variable	β	P value
Spatial autocorrelation
ρ	0.518	0.002
Proximity
ANGL	0.409	0.057
Landscape
DEC	1.548	6.8E-14
Climate
DD > 0 (poor)	0	na
DD > 0 (fair)	3.213	1.5E-07
DD > 0 (good)	4.224	4.4E-08

Spatial autocorrelation (ρ) and angle from outbreak origin (ANGL) were also significant factors.