Table 2.
Multivariable logistic regression model between the binary response variable and the selected factors (N = 2420).
| Possible risk factors | Category | OR | 95 % CI | p-value |
|---|---|---|---|---|
| Districts | Noakhali | Ref | ||
| Bhola | 1.8 | 1.2–2.5 | 0.00 | |
| Bagerhat | 1.9 | 1.3–2.6 | 0.00 | |
| Khulna | 1.4 | 0.9–2.1 | 0.22 | |
| Satkhira | 1.2 | 0.8–1.7 | 0.49 | |
| Rajshahi | 0.5 | 0.3–0.7 | 0.00 | |
| Naogaon | 0.4 | 0.2–0.6 | 0.00 | |
| Gaibandha | 1.3 | 0.9–1.9 | 0.17 | |
| Tangail | 1.7 | 1.1–2.4 | 0.01 | |
| Mymensingh | 1.4 | 0.9–1.9 | 0.11 | |
| Ecological zone | Costal | Ref | ||
| Barind | 0.3 | 0.3–0.5 | 0.00 | |
| Jamuna river basin | 1.1 | 0.8–1.3 | 0.55 | |
| Plane land | 1.0 | 0.7–1.3 | 0.97 | |
| Breed | Crossbreds | Ref | ||
| Native | 0.4 | 0.2–0.7 | 0.00 | |
| Sex | Male | Ref | ||
| Female | 0.3 | 0.2–0.4 | 0.00 | |
| Source | Animal market | Ref | ||
| Imported | 2.8 | 1.8–4.4 | 0.00 | |
| Born in farm/house | 0.2 | 0.1–0.4 | 0.00 | |
| Season | Summer (Mar-Jun) | Ref | ||
| Rainy (Jul-Oct) | 3.6 | 1.9–6.8 | 0.00 | |
| Winter (Nov-Feb) | 6.3 | 3.2–12.3 | 0.00 |
Here, a p ≤ 0.05 was deemed as statistically significant, OR = Odds ratio, CI = Confidence interval, Nov = November, Feb = February, Jul = July, Oct = October, Mar = March, Jun = June.