Coronavirus (COVID-19): modelling the epidemic (issue no. 80)

Footnotes

1 Using data to 29th November 2021.

2 Particular care should be taken when interpreting this estimate as it is based on low numbers of cases, hospitalisations, or deaths and / or dominated by clustered outbreaks. It should not be treated as robust enough to inform policy decisions alone.

3 The cyan bars use Covid-19 test data and purple bars use multiple sources of data. The estimates produced by the Scottish Government are the two on the left. (Yellow uses confirmed cases from PHS and deaths from NRS; green uses wastewater data).The UKHSA consensus range is the right-most (red). Data to 29th November. R, incidence and growth rate as of 16th November.

4 All scenarios are based on current vaccine roll-out plans and efficacy assumptions. Data to 29th November.

5 The actual positive tests are adjusted to coincide with the estimated day of infection

6 Actual infections are uncertain, with the range displayed representing between a 25% (higher infections) and 100% (lower infections) ascertainment rate for positive tests. This uncertainty is not reflected in the projected range, which is based on a 50% ascertainment rate.

7 Actual data does not include full numbers of CPAP. ICU bed actuals include all ICU patients being treated for Covid-19 including those over 28 days.

8 Three week projections are provided here.

9 The exceptions are Na h-Eileanan Siar, Orkney Islands and Shetland Islands.

10 Values are included in Table 1 in the Technical Annex.

11 Anomalously high values, one in Seafield (Edinburgh) in mid-February (see Issue 40), one in Dunblane in mid-June, and two in Daldowie in January, were removed. For this graph, a wastewater RNA average using the last 7-days of data is computed at every sampling date. Positivity estimates from the CIS are overlaid, with a scale chosen to approximately match the displayed peak of the survey percentage to the recent peaks in the rate of new cases.

12 The black line and red shaded area provide a smoothed curve and confidence interval for WW Covid-19 that is estimated from a generalised additive model based on a Tweedie distribution.

13 See the Technical Annex in issue 73 for information about the methodology.

14 Advancements in detection and interpretation practices allow us to identify when outlying results are anomalous rather than indicators of spikes in Covid-19 levels. Table 2 provides population weighted daily averages for normalised WW Covid-19 levels with the outliers removed. See Technical Annex in Issue 60 of these Research Findings for further details.

15 Coverage as for week beginning 19th November 2021.