Skip to main content

Table 10 Logistic regression employing lagged [lag = 2 months] mr plus lagged [lag = 3 months] daa to predict monthly 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 -2.854 (0.183) < 0.01 a  
Lagged mr (× 100 mm) 0.3767 (0.083) < 0.01 a 1.46 (1.24-1.72) b
Lagged daa 0.124 (0.026) < 0.01 a 1.13 (1.08-1.19) c
  1. AIC: 557.5
  2. ROC AUC: 0.74
  3. a Significance
  4. bInterpretation: after adjusting for the effect of lagged daa, 100 mm increases in lagged mr rainfall increased the odds of a site monthly testing positive to MVEV by a factor of 1.46 (95% CI 1.24 - 1.72)
  5. cInterpretation: after adjusting for the effect of lagged mr, single day increases in daa increased the odds of a site monthly testing positive to MVEV by a factor of 1.13 (95% CI 1.08 - 1.19)