Table 3.
Relative risks of scrub typhus by interquartile range increase for each explanatory variable from the non-spatial models.
| Variables | Relative Risk (95% Credible Interval) | |||
|---|---|---|---|---|
| Poisson | ZIP a | NB b | ZINB c | |
| Deforestation | 1.20 (1.20–1.21) | 1.19 (1.19–1.20) | 1.22 (1.17–1.27) | 1.22 (1.18–1.26) |
| Population density | 0.57 (0.57–0.58) | 0.56 (0.55–0.57) | 0.67 (0.64–0.70) | 0.66 (0.63–0.69) |
| Farmers | 0.76 (0.75–0.77) | 0.73 (0.72–0.74) | 0.94 (0.84–1.04) | 0.93 (0.84–1.03) |
| Budget dependency | 0.86 (0.85–0.87) | 0.90 (0.89–0.92) | 0.77 (0.72–0.82) | 0.79 (0.74–0.84) |
| Mean temperature | 1.97 (1.95–2.00) | 1.98 (1.96–2.01) | 2.43 (2.27–2.61) | 2.47 (2.30–2.64) |
| Precipitation | 1.02 (1.00–1.03) | 1.02 (1.00–1.03) | 0.97 (0.90–1.04) | 0.97 (0.90–1.03) |
| Relative humidity | 1.15 (1.14–1.16) | 1.16 (1.15–1.17) | 1.32 (1.25–1.40) | 1.32 (1.25–1.40) |
| Total sunlight time | 1.04 (1.01–1.08) | 1.05 (1.02 -1.08) | 1.10 (0.96–1.26) | 1.11 (0.97–1.26) |
| Agriculture | 1.51 (1.50–1.53) | 1.50 (1.49–1.52) | 1.46 (1.35–1.58) | 1.44 (1.34–1.56) |
| Urban area | 0.98 (0.98–0.99) | 0.97 (0.97–0.98) | 0.99 (0.96–1.02) | 0.99 (0.96–1.02) |
| Forest | 0.72 (0.71–0.74) | 0.74 (0.73–0.76) | 0.67 (0.62–0.73) | 0.68 (0.63–0.73) |
| Elevation | 1.27 (1.25–1.29) | 1.30 (1.28–1.32) | 1.30 (1.21–1.41) | 1.31 (1.21–1.41) |
| DIC d | 65,791.8 | 62,488.92 | 24,522.27 | 24,498.22 |
Note: Bayesian regression models with Integrated Nested Laplace Approximation (INLA) were used and the time variable (year) was included as a random walk structure, but spatial structure was not considered in the model. a Zero-inflated Poisson; b Negative binomial; c Zero-inflated negative binomial; d Deviance information criterion.