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Table 5 Univariate analysis of animal-level risk of being identified as a positive or inconclusive tuberculin reactor on RHT associated with previous movements

From: Risk factors for bovine tuberculosis in low incidence regions related to the movements of cattle

 

     Positive reactor

     Inconclusive reactor

Previously located in:

OR

95% CI  

p-value

OR

95% CI  

p-value

Univariate analysis

      

   Overseas herd

0.75

0.36 – 1.58

0.456

0.76

0.54 – 1.08

0.119

   High incidence parish of England and Wales

1.31

0.63 – 2.76

0.471

0.92

0.62 – 1.37

0.692

   Low incidence parish of England and Wales

-

-

-

-

-

-

   Scottish herd classified as:

      

     confirmed positive RHT with high risk imports

1.27

0.18 – 9.21

0.813

1.52

0.67 – 3.45

0.316

     confirmed positive RHT with no high risk imports

4.31

0.59 – 31.4

0.149

-

-

-

     unconfirmed positive RHT with high risk imports

6.08

2.19 – 16.8

<0.001

1.60

0.65 – 3.90

0.305

     unconfirmed positive RHT with no high risk imports

-

-

-

1.44

0.35 – 5.88

0.609

     unconfirmed inconclusive RHT with high risk imports

0.93

0.34 – 2.56

0.884

1.84

1.28 – 2.65

<0.001

     unconfirmed inconclusive RHT with no high risk imports

2.15

0.67 – 6.87

0.198

1.96

1.09 – 3.52

0.024

     negative RHT and with high risk imports

0.91

0.55 – 1.49

0.704

0.78

0.61 – 0.98

0.036

     negative RHT with no high risk imports

1.31

0.74 – 2.31

0.353

0.94

0.70 – 1.25

0.656

     no VETNET database entries

1.15

0.69 – 1.91

0.585

1.32

1.03 – 1.68

0.025

Multivariate analysis

      

   Scottish herd classified as:

      

     unconfirmed positive RHT with high risk imports

6.28

2.26 – 17.4

<0.001

   

     unconfirmed inconclusive RHT with high risk imports

   

1.92

1.34 – 2.76

<0.001

     unconfirmed inconclusive RHT with no high risk imports

   

2.25

1.24 – 4.06

0.007

     no VETNET database entries

   

1.39

1.09 – 1.78

0.008

  1. The sample was restricted to data from 2006 to 2009 and animals that were located on at least one other farm prior to testing. Both the univariate and multivariate analyses were performed using multinomial logistic regression models with age included as a confounding variable.