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Table 7 Logistic regression employing lagged [lag = 3 months] mr 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

-2.390 (0.1401)

< 0.01 a

 

Lagged mr (× 100 mm)

0.460 (0.0736)

< 0.01 a

1.58 (1.37-1.83) b

  1. AIC: 583.41
  2. ROC AUC: 0.72
  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 1.58 (95% CI 1.37 - 1.83)
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International Journal of Health Geographics

ISSN: 1476-072X