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Table 3 Farm-level predictors used in statistical analyses of associations with between-farm association frequency

From: Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry

Predictor variable Data type Description % missing (n = 662)
Species Categorical Production type or poultry species 54.38
Bird count a Binary (large vs. small) Total number of birds on site 41.39
House count a Binary (large vs. small) Total number of poultry houses on site 40.03
Indoors b Binary (yes vs. no) Categorisation of whether the premises houses any of its birds indoors (e.g. barn, cage or pole barn) 38.97
Outdoors b Binary (yes vs. no) Categorisation of whether the premises houses any of its birds outside 38.97
Free-range b Binary (yes vs. no) Categorisation of whether the premises has registered any free range birds 38.97
Housing other b Binary (yes vs. no) Categorisation of whether the premises keeps any of its birds in other housing 38.97
Partial housing b Binary (yes vs. no) Categorisation of whether the premises keeps any of its birds in partial housing (e.g. coop, brooder house, shelter pen or grass run) 38.97
Integrated Binary (yes vs. no) Whether premises is part of an integrated company or associated with a company 6.95
Region Categorical (Eastc, Scotland, Wales, Westc vs. Northc) Regional location of premises within GB based on the county in the premises address 8.61
  1. aFollowing categorisation of original numeric variables
  2. b Original categorisation for variables indicating the farm management type
  3. cGeographical regions of England