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Table 5 Logistic regression employing ew to predict annual MVEV test site status in the Pilbara

From: Application of satellite precipitation data to analyse and model arbovirus activity in the tropics

Variable Coefficient (SE) p Odds ratio (95%)
Intercept -1.9873 (0.4741) < 0.01 a  
ew (× 100 mm) 0.8231 (0.2036) < 0.01 a 2.28 (1.57-3.52) b
  1. AIC: 84.457
  2. ROC AUC: 0.79
  3. a Significance
  4. bInterpretation: 100 mm increases in ew increased the odds of a site annually testing positive to MVEV by a factor of 2.28 (95% CI 1.57 - 3.52)
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