Table 6.
Model fit to Cohort E
Summary measure | Summed criteria scores | Best fitting score | AIC | |||||||
Shedding frequency | Episode duration | First positive swab | Last positive swab | Peak positive swab | Median expansion | Median decay | Episode frequency | |||
Model 1 | 2.13 | 5.59 | 0.05 | 0.08 | 0.24 | 0.07 | 0.43 | 0.01 | 8.61 | −50 |
Model 2 | 1.26 | 8.33 | 0.38 | 0.34 | 0.22 | 0.04 | 0.09 | 0.03 | 10.69 | −41 |
Model 3 | 0.25 | 3.75 | 0.31 | 0.22 | 0.61 | 0.05 | 0.50 | 0.22 | 5.92 | −62 |
Model 4 solved for 10 parameters | 0.25 | 0.13 | 0.29 | 0.15 | 0.09 | 0.01 | 0.01 | 0.03 | 0.96 | −139 |
Model 4 solved for 5 parameters | 0.39 | 0.32 | 0.44 | 0.21 | 0.09 | 0.04 | 0 | 0.18 | 1.67 | −125 |
Summed criteria scores measure the degree of fit for each model according the eight individual shedding episode features using a weighted sum of squares. Model 4 is the spatial model. Models 1–3 are described in the ‘Methods’. Best fitting score is a sum of all summed criteria scores for a particular model with lower scores indicating better fit. AIC: Akaike information criteria with lower scores indicating better fit.