Sample of 2500 from breakdowns fitting selection criteria ending 2015 - 2018, excluding traders and herd size > 600.
Allows density dependence. Includes GIF testing. Allows hurdle (reduced sensitivity) for first case of every test. (model14.cpp)
Figure 2.1: Skin case counts per breakdown. Max skin cases in data is 120. Plot is censored at 25 for clarity.
Figure 2.2: Skin case counts per breakdown. Max skin cases in data is 120. Plot is censored at 25 for clarity.
Figure 2.3: Skin case counts from the first test of the breakdown. Max first test skin cases in data is 120. Plot is censored at 25 for clarity.
Figure 2.4: Skin case counts from the first test of the breakdown. Max first test skin cases in data is 120. Plot is censored at 25 for clarity.
Figure 2.5: GIF case counts in GIF tested breakdowns. Max GIF reactors per breakdown in data was 81. Plot censored at 25 for clarity.
Figure 2.6: GIF case counts in GIF tested breakdowns.Max GIF reactors per breakdown in data was 81. Plot censored at 25 for clarity.
Figure 2.7: Breakdown duration. Max breakdown duration in data was 1293 days. Plot cenosred for clarity.
Figure 2.8: Proportion of breakdowns with skin cases after the first test.
Figure 2.9: Recurrence within 1, 2 and 3 years of breakdown end.
Figure 2.10: First breakdowns initiated by slaughterhouse cases
Figure 2.11: Recurrent breakdowns initiated by slaughterhouse cases.
In the model, a breakdown had to have four or more skin cases to be considered for GIF testing. Once this criterion was met, the decision to GIF test or not in the model was based on regression coefficients from an external generalised linear model explaining GIF testing with county, year end breakdown, count skin test reactors in triggering skin test, herd management and herd size. The GIF test metric here is a loose metric of breakdowns with four or more cases, and of the GIF testing process in the model versus reality.
Figure 2.12: GIF tested breakdowns.
Figure 2.13: Breakdowns prolonged beyond 240 days.
Figure 2.14: Breakdowns with greater than one case
The standard deviation of skin case count was much larger for the larger herd categories compared to the others. This created very wide confidence intervals for the largest herd category, which, for clarity, made me decide not to add to plots below. The case count bar plots, although they are also censored and exclude very large case counts, above are an alternative way to review the fit to this target metric. Case counts have a very long tail (right skew) in the largest herd category.
Figure 2.15: Mean skin case count
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Figure 2.16: Mean skin case count for the first test of the breakdown.
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Figure 2.17: Mean breakdown duration.
Figure 2.18: Mean GIF reactors in GIF tested breakdowns .