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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)
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International Journal of Health Geographics

ISSN: 1476-072X