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. 2023 Jun 29;18(6):e0287902. doi: 10.1371/journal.pone.0287902

Table 1. Summary of descriptive and analytic statistics for Brucella spp. seropositivity in small ruminants from selected smallholder farming areas of Zimbabwe (2020).

Variable Level Distribution d Association testingd Univariable logistic regressiond
N Prevalence (%) CI (95%) Fisher’s exact OR CI (95%) p value
Seropositivity Overall 398 36 (9.1) [9.2] 6.4–12.3 - - - -
Location*a 1: Chivio 138 0 0–2.6 p<0.000 (empty)
2: Zvimbao 162 0 0–2.3 (empty)
3: Makoni 64 10 (15.6) 7.8–26.9 Ref - -
4: Abattoir 34 26 (76.5) 58.8–89.3 17.6 6.2–49.7 0.000
Species 1: Caprine 335 33 (9.9) 6.9–13.6 p = 0.239
2: Ovine 63 3 (4.8) 1.0–13.3
Age*a 1: 1<x≤2 yearsc 69 0 - p<0.000
2: 2<x≤3 yearsc 59 5 (8.5) 2.8–18.7 Ref - -
3: 3<x≤4 years 93 9 (9.7) 4.5–17.6 2.6 0.9–8.1 0.092
4: 4<x≤5 years 120 9 (7.5) 3.5–13.8 2.0 0.7–6.1 0.228
5: x>5 years 57 13 (22.8) 12.7–35.8 7.3 2.5–21.6 0.000
Parity*a 0: 0o 1 0 - p = 0.010 (empty)
1: 1–2 212 11 (5.2) 2.6–9.1 Ref - -
2: 3–4c 144 21 (14.6) 9.3–21.4 2.9 1.4–6.0 0.005
3: ≥5c 28 4 (14.3) 4.0–32.7
Sex 1: Female 385 36 (9.4) 6.6–12.7 p = 0.618
2: Male 13 0 -
Abortion history*a 0: No 281 18 (6.4) 3.8–9.9 p = 0.002 Ref - -
1: Yes 104 18 (17.3) 10.6–26.0 3.1 1.5–6.1 0.002

N, number of animals; P, probability value; CI, Confidence Interval

*These variables had Fisher’s Exact p < 0.05 and were used in the univariable logistic regression analysis

a These variables showed a significant independent association (p<0.05) in the univariable logistic regression analysis and were used in the multivariable logistic regression model

d Dependent variable: small ruminant seropositivity for Brucella sp. (negative = 0, positive = 1)

c These groups were combined to form a single group within that particular level; o/empty: These groups were omitted from the regression analyses because they did not have any positives; [%] test adjusted prevalence.