Table 2 Estimated parameters of the fitted hierarchical Bayesian model for the geospatial prediction of human snakebite risk in the Terai.

From: Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

 

Mean

SD

Mode

Odds \({(e}^{\mathrm{Mean}})\)

Odds 90% CI

LL

UL

(Intercept)

0.54

1.68

0.58

1.71

0.10

26.32

NDVI

− 1.57

0.88

− 1.55

0.21

0.05

0.86

Distance water (km)

0.42

0.18

0.42

1.51

1.12

2.04

BIO1/10

− 1.29

1.04

− 1.36

0.28

0.01

2.28

BIO17/100

− 2.12

1.78

− 2.19

0.12

0.05

1.56

Range for SPDE (ρ)

28.25

10.58

23.25

   

SD for SPDE (σ)

0.99

0.15

0.97

   
  1. Reporting the posterior marginal mean, standard deviation and mode (logit scale), as well as the corresponding mean, 90% lower- and upper-limit credible intervals (odds scale). The bottom rows report the spatial random effects hyperparameters. Other abbreviations: Stochastic Partial Differential Equations (SPDE).
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