Skip to main content

Table 8 Logistic regression employing lagged [lag = 3 months] mr to predict monthly 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 -3.1939 (0.1660) < 0.01 a  
Lagged mr (× 100 mm) 1.3304 (0.1458) < 0.01 a 3.78 (2.86-5.07) b
  1. AIC: 452.5
  2. ROC AUC: 0.81
  3. a Significance
  4. bInterpretation: 100 mm increases in lagged mr increased the odds of a site monthly testing positive to MVEV by a factor of 3.78 (95% CI 2.86 - 5.07)
\