Publication - Research and analysis

Coronavirus (COVID-19): modelling the epidemic (issue no. 75)

Latest findings in modelling the COVID-19 epidemic in Scotland, both in terms of the spread of the disease through the population (epidemiological modelling) and of the demands it will place on the system, for example in terms of health care requirement.

Coronavirus (COVID-19): modelling the epidemic (issue no. 75)
Coronavirus (COVID-19): modelling the epidemic in Scotland (Issue No. 75)

Coronavirus (COVID-19): modelling the epidemic in Scotland (Issue No. 75)

Background

This is a report on the Scottish Government modelling of the spread and level of Covid-19. This updates the previous publication on modelling of Covid-19 in Scotland published on 21st October 2021. The estimates in this document help the Scottish Government, the health service and the wider public sector plan and put into place what is needed to keep us safe and treat people who have the virus.

This edition of the research findings focuses on the epidemic as a whole, looking at estimates of R, growth rate and incidence as well as local measures of change in the epidemic.

In Scotland, the modelled estimate for R is between 0.8 and 1.0, with the growth rate between -3% and 0%.

Key Points

  • The reproduction rate R in Scotland is currently estimated as being between 0.8 and 1.0, as of 12th October. This is unchanged from last week.
  • The number of new daily infections for Scotland is estimated as being between 77 and 105, per 100,000 people. The upper limit has decreased since last week.
  • The growth rate for Scotland is currently estimated as between -3% and 0%. This is unchanged from last week.
  • Average contacts have remained at a similar level in the last two weeks (comparing surveys pertaining to 30th September - 6th October and 14th October - 20th October) with a current level of 4.6 daily contacts.
  • Mean contacts within the work and home setting have decreased by around 16% and 6% respectively in the last two weeks. Contacts in the other setting (contacts outside home, school and work) have increased by 6% over the same period.
  • Those aged between 30-39 have reported the biggest decrease in interactions with those aged under 18 in the last two weeks whereas interactions between the 18-29 age group with each other have doubled in the last two weeks.
  • Visits to a non-essential shop have increased from approximately 41% to 46% with individuals attending an pub or restaurant increasing from 47% to 52% in the last two weeks.
  • The proportion of contacts reported to have been indoors only has reduced slightly in the last two weeks from 68% to 66%.
  • The number of people wearing a face covering where they have at least one contact outside of the home remains at a similar level to two weeks prior, currently at 80%.
  • Hospital and ICU occupancies are in a plateau. There continues to be uncertainty over hospital occupancy and intensive care in the next three weeks.
  • Modelled rates of positive tests per 100K using data to 25th October indicate that, for the week commencing 7th November 2021, there are 29 local authorities which are expected to exceed 50 cases per 100K with at least 75% probability.
  • These 29 local authorities are also expected to exceed 100 cases per 100K with at least 75% probability.
  • There are no local authorities which are expected to exceed 300 cases per 100K with at least 75% probability.
  • Nationwide, Covid-19 levels in wastewater were similar or slightly lower than those seen last week (13th to 19th October). This brings levels in line with recent trends in case rates.
  • Modelling of long Covid estimates that on 14th November 2021 between 1.3% and 2.8% of the population are projected to self-classify with long Covid for 12 weeks or more after their first suspected Covid infection in Scotland. The upper and lower limits of the estimate are higher than last week.

Recent cases

Figure 1 shows the number of Covid-19 cases reported in Scotland between July and October 2021. The vertical dashed lines indicate the cut off points for each of the modelling inputs; after these dates, the number of cases is not incorporated into the outputs.

Figure 1: Cases reported in Scotland to 28th October 2021 [1]
A chart showing the number of cases reported in Scotland between August and October 2021, and the cut off points for each of the modelling inputs.

R, growth rate and incidence are as of 12th October (dashed line 1). The Scottish Contact Survey uses data to 20th October (dashed line 2). The Scottish Government modelling of infections, hospitalisations and ICU beds, the long Covid analysis, the medium term projections and modelled rates of positive tests per 100K use data to 25th October (dashed line 3). Wastewater analysis uses data to 26th October (dashed line 4).

Overview of Scottish Government Modelling

Modelling outputs are provided here on the current epidemic in Scotland as a whole, based on a range of methods. Because it takes a little over three weeks on average for a person who catches Covid-19 to show symptoms, become sick, and either die or recover, there is a time lag in what our model can tell us about any re-emergence of the epidemic and where in Scotland this might occur.

However modelling of Covid-19 deaths is an important measure of where Scotland lies in its epidemic as a whole. In addition, the modelling groups that feed into the UK Health Security Agency (UKHSA) consensus use a range of other data along with deaths in their estimates of R and the growth rate. These outputs are provided in this research findings. The type of data used in each model to estimate R is highlighted in Figure 2.

We use the Scottish Contact Survey (SCS) to inform a modelling technique based on the number of contacts between people. Over time, a greater proportion of the population will be vaccinated. This is likely to impact contact patterns and will become a greater part of the analysis going forwards.

The logistical model utilises results from the epidemiological modelling, principally the number of new infections. The results are split down by age group, and the model is used to give a projection of the number of people that will go to hospital, and potentially to ICU. This will continue to be based on both what we know about how different age groups are affected by the disease and the vaccination rate for those groups to estimate the proportion of cases that will require hospital, and the length of time people that people will stay there.

What the modelling tells us about the epidemic as a whole

The R value and growth rates are estimated by several independent modelling groups based in universities and the UKHSA. Estimates are considered, discussed and combined at the Epidemiology Modelling Review Group (EMRG), which sits within the UKHSA.

UKHSA's consensus view across these methods, was that the value of R as at 12th October[2] in Scotland was between 0.8 and 1.0 (see Figure 2)[3].

R is an indicator that lags by two to three weeks and therefore should not be expected to reflect recent fluctuations.

This week the Scottish Government presented two outputs to EMRG. The first uses confirmed cases, as published by Public Health Scotland (PHS), and deaths from National Records Scotland (NRS). The second uses instead wastewater data to estimate the number of cases, and deaths from NRS. Both outputs are shown in Figures 2 and 3.

Figure 2. Estimates of R t for Scotland, as of 12th October, including 90% confidence intervals, produced by EMRG [4].
A graph showing the range of values which each of the academic groups reporting an R value to SAGE are likely to lie within.

Source: EMRG

The various groups which report to the EMRG use different sources of data in their models to produce estimates of incidence (Figure 3). UKHSA's consensus view across these methods, as at 12th October, was that the incidence of new daily infections in Scotland was between 77 and 105 new infections per 100,000. This equates to between 4,200 and 5,700 people becoming infected each day in Scotland. The upper limit has decreased since last week.

Figure 3. Estimates of incidence for Scotland, as at 12th October, including 90% confidence intervals, produced by EMRG 4.
A graph showing the ranges the values which each of the academic groups in SPI-M are reporting for incidence (new daily infections per 100,000) are likely to lie within.

Source: EMRG

The consensus from UKHSA for this week is that the growth rate in Scotland is between -3% and 0% per day as at 12th October. This is unchanged since last week.

What we know about how people's contact patterns have changed

Average contacts have remained at a similar level in the last two weeks (comparing surveys pertaining to 30th September - 6th October and 14th October - 20th October) with a current level of 4.6 daily contacts as seen in Figure 4. Mean contacts within the work and home settings have decreased by around 16% and 6% respectively in the last two weeks. Contacts in the other setting (contacts outside home, school and work) have increased by 6% over the same period.

Figure 4. Mean Adult Contacts (truncated at 100) from SCS.
A line graph showing mean adult contacts in Scotland for Panel A and Panel B in the Scottish Contact Survey.

Figure 5 shows how contacts change across age group and setting. Those aged 70 and over and also individuals in the 18-29 age group reported an increase in overall contacts whereas all remaining age groups reported a decrease or remained at similar levels. The increase is largely driven by a rise in contacts within the work setting for the 18-29 age group and an increase in contacts within the other setting for those over 70.

Figure 5. Average (mean) contacts for each panel per day by setting for adults in Scotland, truncated to 100 contacts per participant (from SCS).
A series of line graphs showing mean adult contacts by setting and age group for panel A and panel B from December 2020 to October 2021.

The heatmaps in Figure 6 show the mean overall contacts between age groups for the weeks relating to 30th September - 6th October and 14th October - 20th October and the difference between these periods. Those aged between 30-39 have reported the biggest decrease in interactions with those aged under 18 in the last two weeks whereas interactions between the 18-29 age group with each other have doubled in the last two weeks.

Figure 6. Overall mean contacts by age group for the weeks relating to 30th September - 6th October and 14th October - 20th October.
Heat maps showing the mean contacts by age group in the weeks beginning 16th September and 30th September.

The biggest changes in the proportion of participants visiting different locations, though slight, is seen in those visiting a non-essential shop and also those visiting a pub or restaurant. Visits to a non-essential shop have increased from approximately 41% to 46% with individuals attending an pub or restaurant increasing from 47% to 52% in the last two weeks.

Figure 7. Locations visited by participants at least once for panel A and B (from SCS).
A series of line graphs showing locations visited by participants at least once for panel A and B in various settings.

Figure 8 shows the proportion of participants that reported contacts indoors and outdoors for contacts individually reported for panel A. A contact can also be recorded as both indoor and outdoor. The proportion of contacts reported to have been indoors only has reduced slightly in the last two weeks from 68% to 66%.

Figure 8. Proportion of participants reported indoors and outdoors for contacts individually reported for panel A.
A line chart showing the proportion of participants reported indoors and outdoors for contacts individually reported for Panel A.

Figure 9 shows the number of people wearing a face covering where they have at least one contact outside of the home. This remains at a similar level to two weeks prior, currently at 80%.

Figure 9. Proportion of adults wearing a face coverings over time (with at least one contact outside of the home).
A line chart showing the proportion of adults wearing a face covering over time (with at least one contact outside the home)

What the modelling tells us about estimated infections as well as Hospital and ICU bed demand

The Scottish Government assesses the impact of Covid-19 on the NHS in the next few weeks in terms of estimated number of infections. Figure 10 shows three projections over the three weeks to 14th November.

'Central' assumes that infections will rise or plateau at the current level, resulting from a small rise in transmission. 'Worse' assumes a larger rise in transmission from the current level. 'Better' assumes a small drop in transmission[5]. All three scenarios account for the end of the half-term period and the start of the COP 26 conference beginning in Glasgow on 31st October. Due to this, there is a large amount of uncertainty as to the potential impact on infections.

Contacts tend to be lower during half term and holidays. The modelling accounts for a potential increase in transmission from schools reopening after half-term.

Figure 10. Medium term projections of modelled total new daily infections, adjusting positive tests [6] to account for asymptomatic and undetected infections, from Scottish Government modelling, based on positive test data reported up to 25th October.
A line graph showing the short term forecast of modelled new infections.

Figure 11 shows the impact of the projections on the number of people in hospital. The modelling includes all hospital stays, whereas the actuals only include stays up to 28 days duration that are linked to Covid-19.

There continues to be uncertainty over hospital occupancy and intensive care in the next three weeks.

Figure 11. Medium term projections of modelled hospital bed demand, from Scottish Government modelling, based on positive test data reported up to 25th October.
A line graph showing the short term forecast of hospital bed demand.

Figure 12 shows the impact of the projection on ICU bed demand.

Figure 12. Medium term projections of modelled ICU bed demand, from Scottish Government modelling [7], based on positive test data reported up to 25th October.
A line graph showing a short term forecast of modelled ICU bed demand.

A comparison of the actual data against historical projections is included in the Technical Annex.

What the modelling tells us about projections of hospitalisations and deaths in the medium term

SPI-M produces projections of the epidemic[8] (Figures 13 and 14), combining estimates from several independent models (including the Scottish Government's logistics modelling, as shown in Figures 10 to 12). These projections are not forecasts or predictions. They represent a scenario in which the trajectory of the epidemic continues to follow the trends that were seen in the data up to 25th October and do not include the effects of any future policy or behavioural changes.

The delay between infection, developing symptoms, the need for hospital care, and death means they cannot fully reflect the impact of behaviour changes in the two to three weeks prior to 25th October. Projecting forwards is difficult when the numbers of admissions and deaths fall to very low levels, which can result in wider credible intervals reflecting greater uncertainty. The interquartile range should be used, with judgement, as the projection from which estimates may be derived until the 15th November.

These projections include the potential impact of vaccinations over the next few weeks. Modelling groups have used their expert judgement and evidence from UKHSA, Scottish Universities & Public Health Scotland, and other published efficacy studies when making assumptions about vaccine effectiveness.

Figure 13. SPI-M medium-term projection of daily hospitalisations in Scotland, at 50% and 90% credible intervals.
A combination scatter and line chart, showing the SAGE medium term projection of hospitalisations against the actual hospitalisations.
Figure 14. SPI-M medium-term projection of daily deaths in Scotland, at 50% and 90% credible intervals.
A combination scatter and line chart, showing the SAGE medium term projection of deaths against the actual deaths.

What we know about which local authorities are likely to experience high levels of Covid-19 in two weeks' time

We continue to use modelling based on Covid-19 cases and deaths using data to 18th October from several academic groups to give us an indication of whether a local authority is likely to experience high levels of Covid-19 in the future. This has been compiled via UKHSA into a consensus. In this an area is defined as a hotspot if the two week prediction of cases (positive tests) per 100K population is predicted to exceed a threshold, e.g. 500 cases.

This week, there is increased uncertainty in estimates due to recent changes in case trends.

Modelled rates of positive tests per 100K using data to 25th October (Figure 15) indicate that, for the week commencing 7th November 2021, there are 29 local authorities which are expected to exceed 50 cases per 100K with at least 75% probability[9].

These 29 local authorities are also expected to exceed 100 cases per 100K with at least 75% probability.

There are no local authorities which are expected to exceed 300 cases per 100K with at least 75% probability[10].

Figure 15. Probability of local authority areas exceeding thresholds of cases per 100K (7th to 13th November 2021), data to 25th October.
A series of four maps showing the probability of local authority areas exceeding thresholds of cases per 100K (7th to 13th November 2021).

What can analysis of wastewater samples tell us about local outbreaks of Covid-19 infection?

Levels of Covid-19 RNA in wastewater collected at a number of sites around Scotland are adjusted for population and local changes in intake flow rate and compared to 7 day average daily new case rates derived from Local Authority and Neighbourhood (Intermediate Zone) level aggregate data. See Technical Annex in Issue 34 of these Research Findings for the methodology.

Nationwide, wastewater (WW) Covid-19 levels were similar or slightly lower than those seen last week (13th to 19th October), with a one-week average level ending on 26th October of around 54 million gene copies per person per day (Mgc/p/d). This brings levels in line with recent trends in case rates.

Figure 16 shows the national running average trend (over a 7-day period) for the full set of sampled sites, with a small number of unrealistically large outliers excluded. Wastewater Covid-19 levels exhibit a slow decrease since mid-October, reducing by around 7% in the last week. With the most recent readings, the ratio of WW levels to case numbers is now back at the historic rate of 1 Mgc/p/d corresponding to 1 new case per 100k inhabitants per day. WW Covid-19 levels are still high, similar to those early in the year or shortly after the July peak.

Figure 16. National running average trends in wastewater Covid-19 and daily new case rates (7 day moving average) as of 26th October [11].
A line chart showing national average trends in wastewater Covid-19 and daily case rates.

What estimates do we have of the number of people experiencing long Covid symptoms?

The Scottish Government is modelling the number of people likely to experience long Covid symptoms. This gives a projection of estimated self-reported long Covid rates in the future, based on Scottish Government medium term projection modelling, as set out in Figure 17.

This modelling estimates that at 14th November 2021 between 71,000 (1.3% of the population) and 151,000 (2.8%) people are projected to self‑classify with long Covid for 12 weeks or more after their first suspected Covid infection in Scotland.

These are preliminary results, further data on rates of long Covid and associated syndromes as research emerges are required.

Figure 17. Estimates of self-classified long Covid prevalence at 12 weeks from 16th February 2020 to 14th November 2021 (showing 90% confidence interval). ONS estimates of self-reported long Covid with range also shown.
A percentile chart showing the estimated number of long Covid prevalence at 12 weeks, compared to ONS estimates.

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

What next?

The modelled estimates of the numbers of new cases and infectious people will continue to be provided as measures of the epidemic as a whole, along with measures of the current point in the epidemic such as Rt and the growth rate.

We may report on exceedance in future weeks when the background levels of Covid-19 reduces so that it can be useful in identifying outbreaks.


Contact

Email: modellingcoronavirus@gov.scot