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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

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

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
  1. 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.