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Table 4 Logistic regression employing 250 km aggregated hw to predict annual MVEV test site status in the Kimberley

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

Variable Coefficient (SE) p Odds ratio (95%)
Intercept -3.6989 (1.1756) < 0.01 a  
hw 250 km aggregate (× 100 mm) 0.7890 (0.2105) < 0.01 a 2.02 (1.53-3.51) b
  1. AIC: 72.006
  2. ROC: 0.8070652
  3. a Significance
  4. bInterpretation: 100 mm increases in 250 km aggregated hw increased the odds of a site annually testing positive to MVEV by a factor of 2.02 (95% CI 1.53-3.51)