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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.