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. 2024 Nov 30;14(11):2960–2969. doi: 10.5455/OVJ.2024.v14.i11.24

Table 2. The univariate logistic regression model for risk factors associated with BoHV-1 infection.

Predictor Level No. of Ex. animals No. of positive BoHV-1 (%) OR1 (95% CI2) p-value3
Environmental factors
Season Autumn 139 15 (10.79%) Ref 0.000
Winter 72 28 (38.9%) 5.26 (2.57–10.75)
Spring 105 29 (27.6%) 3.15 (1.58–6.26)
Summer 84 18 (21.42%) 2.25 (1.06–4.76)
Animal factors
Age Adults 107 8 (7.47%) Ref 0.000
Pre-weaned 100 13 (13%) 1.84 (0.73–4.67)
Weaned 95 42 (44.2%) 9.8 (4.2–22.4)
Yearling 98 27 (27.55%) 4.7 (2.02–10.96)
Breed Holstein 217 40 (18.43%) Ref 0.07
Italian Buffalo 40 14 (35%) 2.38 (1.14–4.96)
Holstein cross 61 13 (21.3%) 1.19 (0.59–2.41)
Native 82 23 (28.04%) 1.72 (0.95–3.11)
Sex Females 258 42 (16.27%) Ref 0.000
Males 142 48 (34.04%) 2.51 (1.55–4.05)
Management factors
Stall type Tie stalls 174 30 (17.24%) Ref 0.028
Free stalls 226 60 (26.54%) 1.73 (1.06–2.83)
Housing Open yards 186 29 (15.59%) Ref 0.01
Shaded pens 132 38 (28.78%) 2.18 (1.26–3.78)
Closed house 82 23 (28.04%) 2.11 (1.13–3.93)
History of respiratory illness Present 147 72 (48.97%) Ref 0.000
Absent 253 18 (7.11%) 0.09 (0.05–0.16)

1OR: Odds ratio; 2CI, confidence interval (95%); 3p-value ≤ 0.20 was used to detect which variables will be retained in the final multivariate model.