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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