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Table 5 Binary Logistic regression: secondary spread versus transmission rates for interaction between transmission routes at different levels of transmission.

From: The potential spread of highly pathogenic avian influenza virus via dynamic contacts between poultry premises in Great Britain

Predictor

Coefficient

SE

Odds Ratio

Lower 95% CI

Upper 95% CI

p-value

Constant

-2.16587

0.071836

   

0

owncat

      

1

0.004215

0.076562

1

0.86

1.17

0.956

2

0.415397

0.075335

1.51

1.31

1.76

0

3

0.631829

0.074869

1.88

1.62

2.18

0

shcat

      

1

-0.22299

0.077486

0.8

0.69

0.93

0.004

2

-0.12265

0.077053

0.88

0.76

1.03

0.111

3

-0.0784

0.076875

0.92

0.8

1.07

0.308

owncat*shcat

     

1*1

0.248773

0.082484

1.28

1.09

1.51

0.003

1*2

0.227419

0.082041

1.26

1.07

1.47

0.006

1*3

0.229411

0.081855

1.26

1.07

1.48

0.005

2*1

0.207304

0.0812

1.23

1.05

1.44

0.011

2*2

0.154659

0.080772

1.17

1

1.37

0.056

2*3

0.140458

0.080593

1.15

0.98

1.35

0.081

3*1

0.228509

0.0807

1.26

1.07

1.47

0.005

3*2

0.174293

0.080272

1.19

1.02

1.39

0.03

3*3

0.15525

0.080095

1.17

1

1.37

0.053

  1. Final model.
  2. Level 1 = low transmission rate 0 - 0.06, level 2 = medium transmission rate 0.07 - 0.13, level 3 = high transmission rate 0.14 - 0.2. sh = slaughterhouse, own = company personnel. SE = standard error.