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Table 3 Summary of results of logistic regression analysis on Influenza A Virus (IAV) positive detection on survey data collected from 176 swine farms in Colombia in 2016-17. Farms were tested for IAV using rRT-PCR on nasal swabs and oral fluids. Table show results of the final model after controlling potential confounding factors and assessing plausible interactions

From: Farm management practices, biosecurity and influenza a virus detection in swine farms: a comprehensive study in Colombia

Variable

Variable category

NSC

OR

CI 95%

Collinearity

β

SE

Lower limit

Upper

limit

T

VIF

Intercept

-5.62

1.62

0.003

0.00

0.08

-

-

Farm size (V5)

1001–7500

3.55

1.11

34.9

3.92

311.8

0.39

2.54

301–1000

2.18

0.67

8.88

2.38

33.06

0.28

3.50

Facilities are allowed to dry after cleaning and disinfecting (V20)

Yes

3.21

1.55

24.89

1.18

524.3

0.97

1.02

Location in an area with a high density of pigs in the region (V1)

> 10 an/km2

1.61

0.59

5.05

1.56

16.3

0.44

2.25

Farm size (V5): Location in an area with a high density of pigs in the region (V1)

1001–7500: >10an/km2

-1.20

1.25

0.29

0.02

3.4

0.40

2.48

01-1000: >10an/km2

-1.30

0.76

0.27

0.06

1.2

0.27

3.58

AIC = 189.92; BIC = 219Nagelkerke’s R2: 0.33 p value = 4.14e-09Over dispersion coefficient (phi): 1.04Deviance = 0.269; Concomitance = 5.65%; Main effects sum = 19.52%NSC: Non-Standardized Coefficient; SE: Standard Error; CI: Confidence interval; T: Tolerance; VIF: variance inflation factor; OR: Odds ratio; AIC: Akaike criterion; BIC: Bayesian information criterion; R2: adjusted correlation coefficient.Italic bold: statistical significance