A model-ready dataset combining animal movements, pathogen prevalence, and diagnostic-test sensitivity. Each row represents one combination of a hypothetical pathogen and region of origin.
Format
A data frame with 6 rows and 13 columns:
- pathogen
Hypothetical pathogen identifier:
"a"or"b".- origin
Region of origin:
"nord","south", or"east".- test_origin
Frequency with which animals are tested at origin.
- h_prev_min
Minimum herd prevalence.
- h_prev_max
Maximum herd prevalence.
- w_prev_min
Minimum within-herd prevalence.
- w_prev_max
Maximum within-herd prevalence.
- farms_n
Number of farms exporting animals.
- animals_n_mean
Mean number of animals exported per farm.
- animals_n_sd
Standard deviation of the number of animals exported per farm.
- test_sensi_min
Minimum diagnostic-test sensitivity.
- test_sensi_mode
Most likely diagnostic-test sensitivity.
- test_sensi_max
Maximum diagnostic-test sensitivity.
Source
Simulated data for demonstration purposes. The dataset is created by joining prevalence_region, animal_imports, and test_sensitivity.
Examples
imports_data
#> pathogen origin test_origin h_prev_min h_prev_max w_prev_min w_prev_max
#> 1 a nord sometimes 0.08 0.10 0.15 0.2
#> 2 a south sometimes 0.02 0.05 0.15 0.2
#> 3 a east never 0.10 0.15 0.15 0.2
#> 4 b nord always 0.50 0.70 0.45 0.6
#> 5 b south sometimes 0.25 0.30 0.37 0.4
#> 6 b east unknown 0.30 0.50 0.45 0.6
#> farms_n animals_n_mean animals_n_sd test_sensi_min test_sensi_mode
#> 1 5 100 6 0.89 0.90
#> 2 10 130 10 0.89 0.90
#> 3 7 140 12 0.89 0.90
#> 4 5 100 6 0.80 0.85
#> 5 10 130 10 0.80 0.85
#> 6 7 140 12 0.80 0.85
#> test_sensi_max
#> 1 0.91
#> 2 0.91
#> 3 0.91
#> 4 0.90
#> 5 0.90
#> 6 0.90