Table 2 General linear models (GLM) investigating factors predicting PhaHV-2 active shedding. Top two AICc are incorporated in final models. Coefficient estimate and adjusted standard errors (SE) are also displayed. Significant p-values are highlighted in bold. a: GLM using PhaHV-1, C. pecorum and geographic bioregions as predictors (n = 157). b: GLM model results for a subset of samples with sex data (n = 143), using sex as a predictor variable. c: GLM model results for a subset of samples with age data (n = 105), using age as a predictor variable. d: GLM modelling results for 22 C. pecorum positive koalas with metadata available for clinical signs, using PhaHV-2, PhaHV-1, C. pecorum, sex and age as predictor variables. PhaHV-1 and age were included as predictors but are not shown as they were not significant and did not appear in the final model.

Model	Estimate	Adjusted SE	RI	N models	P value
a. (Intercept)	-2.424	0.507			1.7e-06
PhaHV-1	1.565	0.661	1	2	0.018
C. pecorum	0.308	0.567	0.39	1	0.587
Bioregion^†
Central Qld	-15.791	1976.375	1	2	0.994
North NSW/South Qld	-1.787	1.145	1	2	0.119
Mid North NSW	0.444	0.745	1	2	0.551
South Australia	1.360	0.812	1	2	0.094
b. (Intercept)^‡	-18.242	1981.028			0.993
c. (Intercept)	-0.599	0.879			0.495
Age	2.441	1.054	1	3	0.021
d. (Intercept)^#	0.178	0.544			0.743
PhaHV-2	-1.471	1.633	0.62	1	0.368
Sex	2.199	1.165	1	2	0.059

†Central NSW used as the reference level for bioregion due to large sample size (n = 55). Each region was evaluated as the reference level for comparison and no significant effects of bioregion were found (data not displayed). Relative importance (RI) and the number of top models was calculated for bioregion as a single factor.
‡Sex was included as a predictor but is not shown as it was not significant and did not appear in the final model.
#PhaHV-1 and age were included as predictors but are not shown as they were not significant and did not appear in the final model.

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