Table 4.
Relative risks of scrub typhus by interquartile range increase for each explanatory variable from spatiotemporal models.
| Variables | Relative risk (95% Credible Interval) | |||
|---|---|---|---|---|
| Poisson | ZIP a | NB b | ZINB c | |
| Deforestation | 1.16 (1.15–1.17) | 1.15 (1.14–1.16) | 1.20 (1.15–1.25) | 1.20 (1.15–1.24) |
| Population density | 0.63 (0.62–0.65) | 0.64 (0.63–0.65) | 0.70 (0.67–0.74) | 0.70 (0.66–0.74) |
| Farmers | 0.86 (0.84–0.88) | 0.83 (0.81–0.84) | 0.92 (0.83–1.02) | 0.89 (0.81–0.99) |
| Budget dependency | 0.88 (0.87–0.90) | 0.93 (0.91–0.95) | 0.77 (0.71–0.83) | 0.81 (0.75–0.87) |
| Mean temperature | 1.65 (1.62–1.69) | 1.69 (1.66–1.73) | 2.24 (2.06–2.43) | 2.28 (2.10–2.47) |
| Precipitation | 0.93 (0.91–0.95) | 0.92 (0.90–0.94) | 0.94 (0.86–1.02) | 0.92 (0.85–1.00) |
| Relative humidity | 1.09 (1.07–1.11) | 1.10 (1.09–1.12) | 1.29 (1.20–1.38) | 1.29 (1.21–1.38) |
| Total sunlight time | 1.20 (1.14–1.25) | 1.16 (1.11–1.22) | 1.17 (1.02–1.36) | 1.18 (1.02–1.36) |
| Agriculture | 1.41 (1.39–1.42) | 1.40 (1.39–1.42) | 1.50 (1.39–1.62) | 1.48 (1.37–1.59) |
| Urban area | 0.97 (0.82–0.86) | 0.97 (0.96–0.97) | 1.00 (0.97–1.04) | 1.00 (0.97–1.03) |
| Forest | 0.84 (0.82–0.86) | 0.88 (0.86–0.89) | 0.73 (0.67–0.79) | 0.75 (0.69–0.81) |
| Elevation | 1.33 (1.30–1.35) | 1.31 (1.28–1.33) | 1.29 (1.20–1.39) | 1.28 (1.19–1.38) |
| DIC d | 52,380.41 | 49,848.48 | 24,187.01 | 24,109.29 |
Note: Bayesian regression models with INLA were used and the time variable (year) was included as a random walk structure, and spatial autocorrelation was also considered with bym models. a Zero-inflated Poisson; b Negative binomial; c Zero-inflated negative binomial; d Deviance information criterion.