Table 8.
The estimation of R 0 and turning point t i, 95% conditional confidence (95% CI) for each dataset and candidate model.
| Model | R 0 | 95% CI | t i | 95% CI |
|---|---|---|---|---|
| Liberia (Ebola) | ||||
| g 4 Richards model | 3.0223 | (2.6026, 3.4855) | 130 | (111, 159) |
| g 1 Logistic model | 1.784 | (1.7661, 1.802) | 137 | (135, 140) |
| g 2 Gompertz model | 1.197 | (1.1935, 1.2005) | 128 | (126, 130) |
|
| ||||
| Sierra Leone (Ebola) | ||||
| g 4 Richards model | 1.9016 | (1.8563, 1.9475) | 165 | (157, 174) |
| g 2 Gompertz model | 1.1507 | (1.1478, 1.1536) | 164 | (162, 168) |
| g 1 Logistic model | 1.5894 | (1.582, 1.5967) | 171 | (169, 173) |
The models are sorted from the best to the worst.