Table 3.
Multivariable logistic regression model for identifying key risk factors for RVA in rodents and shrews in Bangladesh
| Variables | Factors | Odds ratio | 95% CI* | p value | |
|---|---|---|---|---|---|
| Lower bound | Upper bound | ||||
| Sex | Female | 1.0 | |||
| Male | 3.4 | 1.39 | 8.04 | 0.007 | |
| BCS | Good | 1.0 | |||
| Poor | 2.7 | 0.99 | 7.38 | 0.05 | |
| Health status | Apparently healthy | 1.0 | |||
| Sick | 0.8 | 0.19 | 3.48 | 0.789 | |
| Season | Dry | 1.0 | |||
| Wet | 4.1 | 1.13 | 14.65 | 0.032 | |
| Land gradient | Rural | 1.0 | |||
| urban | 2.9 | 0.97 | 9.15 | 0.056 | |
| Habitat type | Agricultural field/bushlands | 1.0 | |||
| Human dwelling | 1.8 | 0.59 | 5.79 | 0.284 | |
*Confidence interval