We have published a new report on our real-time tracking of the COVID-19 pandemic. This information is helping the government to track the COVID-19 pandemic in real time.

We have highlighted our latest findings and provided interpretation of what these findings mean. We have also explained our recent model and report changes.

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Updated findings

1. The current estimate of the daily number of new infections occurring each day across England is 14,800 (11,600–19,000, 95% credible interval). This represents a marked upward revision of our most recent published estimate of 5.400 (3.900–7.200) infections on 21st May to 8.900 (8.200–9.600).
2. The daily infection rate is estimated to be the highest in the North West (NW) with 3,710 new daily infections, corresponding to 51 per 100,000 population per day. The East Midlands (EM) is the second highest with 1,670 infections (35 per 100,000) followed by the North East (NE) which has 856 new infections every day (32 per 100,000). All other regions now have more than 10 new infections per 100k population, with incidence in the South East (SE) the lowest (12 infections per 100,000). Note that a substantial proportion of these daily infections will be asymptomatic.
3. We predict that the number of deaths occurring daily is likely to remain low but also likely to start increasing. For the 25th June we forecast between 37 and 82 daily deaths, though there is a distinct lack of fit to these data over the past two months and consequently very low confidence in these projections.
4. The probability of Rt exceeding 1 is above 73% in all regions. It is above 1 with certainty in NW, and greater than 90% in EM, London (GL) and the South West (SW).
5. The growth rate for England has increased to 0.03 (0.02–0.04, 95% credible interval) per day. This means that, nationally, the number of infections is certain to be increasing, although there is considerable uncertainty and heterogeneity across regions, with negative growth a possibility in some regions. This rate of growth corresponds to a doubling in the number of new infections every 24.5 days
6. London, followed by the NE and the West Midlands (WM), has the highest attack rates, that is the proportions of the regional populations who have ever been infected, with 31%, 27% and 26% respectively. The SW continues to have the lowest attack rate at 15%. These attack rates constitute upward revisions from our previous published report.
7. Note that the deaths data used are only very weakly informative on Rt over the last two weeks and are thankfully sparse. Therefore, the estimate for current incidence, Rt and the forecast of daily numbers of deaths are likely to be subject to some revision.

Interpretation

The plots of the estimated Rt in the most recent weeks show reasonably stable values despite the gradual relaxation of pandemic mitigation measures, with each region experiencing a very gradual increase. The one exception is NW where we estimate a large increase in Rt from 0.8 in mid-April to 1.3 in mid-May coinciding with the emergence of the Delta variant. Current levels of incidence were last seen during the growing phase of the pandemic at the end of September and will, consequently, require careful monitoring.

From the end of March onwards, the incidence of deaths has continued to fall more sharply than predicted by the model, which is now suggesting a gradual rise over the coming few weeks. This implies that the ONS estimates and the data on deaths are giving contradictory signals and model development is ongoing to try and account for this discrepancy.

The plot of the infection fatality rate (IFR) presents age-specific probabilities of death given infection. It shows an increasing mortality risk from September onwards in all ages until the immunisation programme begins to have an impact in late January. From the end of January we estimate a decreasing IFR in all adult age groups, but most steeply in the older ages. This drop measures the benefits of immunisation against death over and above the benefits against infection. Specifically, there is an estimated fall to a still-high 3.3% in the over-75s and 0.14% overall. The overall impact of the immunisation programme can be seen more clearly in the ‘All Ages’ plot, where the precipitous decline in IFR since late January is a product of this efficacy against death but also of the increasing proportion of infections in young people; older age groups are immunised and become protected against infection. The impact of the second immunisation doses (initially in the 45-64) becoming widespread will begin to affect this quantity over the coming weeks.

For context, alongside the data used here, other indicators (e.g. hospital admissions, reported new positive tests) are suggesting a resurgent epidemic, largely due to the increasing presence of the Delta strain. Prevalence of infection, as estimated by the ONS Coronavirus Infections Survey, is close to 0.20% in England, though there is large regional heterogeneity with a plateau and perhaps even a slight down-turn in many regions. As we consider the lifting of social-distancing measures, the proximity of Rt to 1 indicates that the epidemic could display a range of qualitative behaviours over the coming period. The next couple of weeks will be crucial. We will continue to monitor the situation closely.

Further comment from lead researchers, Professor Daniela De Angelis and Dr Paul Birrell:

Our results show that the pandemic is growing now across the country due to the rise of the Delta variant in particular in the North West, disrupting the recent downward trend. Despite the impact of immunisation, it is very likely that infections are increasing in all age groups and regions. The Delta strain is now dominant everywhere in England and we are continually learning about its characteristics. The combination of the new variant, vaccine hesitancy and relaxation of measures make the near future very difficult to predict and, as ever, the situation needs constant monitoring.

Model and report changes

1. The model now accounts for a different susceptibility to infection in each adult age group (no prior information is used); and for the under-15s, (using prior information from Viner et al, 2020, which estimates children to be less likely to acquire infection when in contact with an infectious individual).
2. The model has the ability to incorporate estimates of community prevalence, by region and age group, from the Office of National Statistics COVID-19 Infection Survey (see Data Sources for details). These are included weekly since the outset of the Survey in May 2020 for the age groups >4 years to inform trends in incidence that are too recent to be captured by the data on deaths.
3. The model now accounts for the ongoing immunisation programme, stratifying the population of people still susceptible to infection with the virus according to their immunisation status (unimmunised/1 dose/2 doses). We use data on the daily proportions of the population getting immunised to inform this splitting of the population, assuming that it takes three weeks for vaccine-derived immunity to develop .
4. The geographical definition has been changed from the seven NHS regions (map) to the nine regions typically used in government (map). This new spatial definition more appropriately reflects the existing regional heterogeneity.
5. The underlying probability of an unvaccinated individual dying following infection with SARS-CoV2 (the infection-fatality rate, IFR) is allowed to change gradually over the course of 30 days every (approximately) 100 days. This is designed to reflect fluctuations due to seasonal effects, demand on healthcare services or the emergence of new virus variants of differing severity.
6. The ‘Epidemic summary’ now only reports the current value for the IFR by age. To visualise how this has changed over time in our model, see the IFR tab in the ‘Infections and Deaths’ section of the report. The quantity that is now plotted under this tab is the probability of dying if infected, taking into account the impact of the immunisation programme.

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Link to full report