Table 3.
The results of an evaluation involving 100 simulated influenza outbreaks. Each cell contains a mean value followed in parenthesis by the 95% confidence interval around that mean.
| mean fraction of outbreak cases | mean number of days into the outbreak | mean posterior probability P that an outbreak is occurring | mean relative error in estimating the total number of outbreak cases | mean absolute error of estimating the peak day | mean false positive rate relative to P |
|---|---|---|---|---|---|
| 0.001 | 17.6 (17.0, 18.3) | 0.125 (0.118, 0.132) | 0.874 (0.867, 0.881) | 13.4 (11.8, 15.0) | 0.695 (0.665, 0.726) |
| 0.01 | 35.8 (34.5, 37.2) | 0.363 (0.316, 0.410) | 0.649 (0.606, 0.692) | 9.3 (8.2, 10.4) | 0.283 (0.235, 0.331) |
| 0.064 | 51.9 (50.0, 53.9) | 0.972 (0.947, 0.996) | 0.106 (0.084, 0.128) | 4.1 (3.4, 4.9) | 0.005 (0.00, 0.01) |
| 0.1 | 56.0 (53.9, 58.1) | 0.981 (0.962, >0.999) | 0.086 (0.068, 0.104) | 3.2 (2.6, 3.9) | 0.003 (0.000, 0.009) |
| 0.2 | 62.8 (60.4, 65.2) | 0.996 (0.995, 0.997) | 0.069 (0.051, 0.087) | 3.6 (2.9, 4.3) | 0.00 (0.00, 0.00) |
| 0.5 | 74.2 (71.3, 77.1) | 0.997 (0.996, 0.999) | 0.063 (0.051, 0.074) | 2.5 (1.9, 3.0) | 0.00 (0.00, 0.00) |