Table 2. Properties of the estimated distribution for the Poisson parameter , the index case-specific expected number of further cases in a cluster.
The expected value of is and its distribution gives important information about overdispersion of clusters. In units of hours-1.
| Province | Mean | Standard deviation | Median | 90th percentile | 99th percentile |
|---|---|---|---|---|---|
| Alberta | 1.86 | 2.55 | 8.9e-01 | 5.0 | 11.9 |
| Manitoba | 1.43 | 2.45 | 4.3e-01 | 4.1 | 11.7 |
| Saskatchewan | 0.88 | 1.46 | 2.9e-01 | 2.5 | 7.0 |
| Ontario | 1.04 | 1.70 | 3.5e-01 | 3.0 | 8.1 |