Skip to main content

Table 3 Comparison of predictor variables of the different statistical models: logistic, Bayesian non-spatial, and spatial models

From: Emerging human infectious diseases of aquatic origin: a comparative biogeographic approach using Bayesian spatial modelling

Model Disease dataset Logistic regression Non-spatial MCMC model Spatial MCMC model
Mean elevation Leptospirosis (−) (−) (−)
Buruli Ulcer (−) (−) (−)
Mean TWI Leptospirosis (+) (+) (+)
Buruli Ulcer (+) (+) (+)
Land cover at 2 km Leptospirosis (−) primary forest (−) primary forest (−) primary forest
Buruli Ulcer (+) urban (+) urban (+) urban
(+) cropland (+) cropland (+) cropland
Land cover at 5 km Leptospirosis (−) primary forest (−) primary forest (−) primary forest
(−) mangroves (−) mangroves (−) mangroves
(−) urban (−) urban X
Buruli Ulcer (+) urban (+) urban X
(+) cropland (+) cropland X
Land cover at 10 km Leptospirosis (−) mangroves (−) mangroves X
(−) primary forest (−) primary forest (-) primary forest
(+) cropland (+) cropland (+) cropland
Buruli Ulcer (+) cropland (+) cropland (+) cropland
(−) urban (−) urban X
(−) mangroves (−) mangroves (−) mangroves
(−) primary forest (−) primary forest (−) primary forest
Maximum temperature Leptospirosis X X
Buruli Ulcer X X
Minimum temperature Leptospirosis (+) 0 month (+) 0 month (+) 0 month
Buruli Ulcer (+) − 4 months (+) − 4 months X
Total precipitation Leptospirosis X X
Buruli Ulcer X X
  1. The (+) and (−) indicate the positive or negative correlation of the significant coefficients and “X” denotes non-significant coefficients