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Table 6 Logistic regression employing 500 km aggregated 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 -2.8764 (0.6449) < 0.01 a  
ew 500 km aggregate (× 100 mm) 1.4488 (0.3332) < 0.01 a 4.26 (2.34-8.81) b
  1. AIC: 78.857
  2. ROC AUC: 0.83
  3. a Significance
  4. bInterpretation: 100 mm increases in 500 km aggregated ew increased the odds of a site annually testing positive to MVEV by a factor of 4.26 (95% CI 2.34 - 8.81)