Avian influenza infection dynamics under variable climatic conditions, viral prevalence is rainfall driven in waterfowl from temperate, south-east Australia

Table 2 Odds ratios (OR) and AICs for the best fitting generalized linear models describing the effects of rainfall anomaly, temperature anomaly and “ENSO drought/wet” factor on AIV prevalence

Time-lag class	Region	Rainfall anomaly OR	Temperature anomaly OR	“ENSO drought/wet” OR	AIC
3	WTP	1.55***	0.88	1.49***	228.27
5	VIC	1.67***	0.97	1.35**	231.33
4	SE	1.59***	0.88	1.37**	234.69
5	SE	1.64***	0.95	1.36**	234.16
6	SE	1.74***	1.07	1.32*	233.32
7	SE	1.80***	1.04	1.23	235.01
6	MDB	2.48***	1.34*	1.08	213.16

An OR > 1 indicates a positive, whereas an OR < 1 indicates a negative effect of the explanatory variable (e.g. OR > 1 means that AIV prevalence was greater when rainfall anomaly was higher and OR < 1 means that AIV prevalence was greater when rainfall anomaly was lower). Regions: WTP (Western Treatment Plant), Victoria (VIC), South-eastern Australia (SE) and Murray–Darling Basin (MDB). Stars indicate significance levels: ***p < 0.001; **p < 0.01; *p < 0.05.

ISSN: 1297-9716