In this bulletin, we refer to the number of coronavirus (COVID-19) infections within the community population; community in this instance refers to private residential households, and it excludes those in hospitals, care homes or other institutional settings.
In this bulletin we use COVID-19 to mean testing positive for SARS-CoV-2, with or without having symptoms.
We estimate that an average of 1 in 3,900 individuals within the community population in England had COVID-19 at any given time between 22 June and 5 July 2020.
That equates to an estimated average of 14,000 people (95% confidence interval: 5,000 to 31,000) within the community in England having COVID-19 between 22 June and 5 July 2020.
Modelling of the trend over time suggests that the decline in the number of people in England testing positive on a nose and throat swab has levelled off in recent weeks.
Modelling of the incidence rate trend over time suggests that incidence of new infections appears to have decreased since mid-May and has now levelled off.
During the 14-day period from 22 June to 5 July 2020, there were an estimated two new COVID-19 infections for every 10,000 individuals per week in the community population in England, equating to an estimated 1,700 new cases per day (95% confidence interval: 700 to 3,700).
How the data in this bulletin can be used
The data can be used for:
- estimating the number of current positive cases in the community in England, including cases where people do not report to having any symptoms
- identifying differences in numbers of positive cases between different regions
- estimating the number of new cases and change over time in positive cases in England, based on the past 14 days
The data cannot be used for:
- measuring the number of cases and infections in care homes, hospitals and other institutional settings
- estimating the number of positive cases and new infections by smaller geographies, such as towns and cities
- providing information about recovery time of those infected
Based on nose and throat swabs, evidence shows that the number of people in England testing positive has decreased since the start of the study has now levelled off
Our latest estimates indicate that at any given time during the two weeks from 22 June to 5 July 2020, an average of 14,000 people in England had the coronavirus (COVID-19) (95% confidence interval: 5,000 to 31,000)1. This equates to 0.03% (95% confidence interval: 0.01% to 0.06%) of the population in England or around 1 in 3,900 individuals. This estimate is based on swab tests collected from 25,662 participants, of which eight individuals from eight different households tested positive for COVID-19.
Infections refer to those identified from a positive test for SARS-CoV-2 – the virus causing COVID-19 disease - from a swab taken from someone’s nose and throat. This means there was evidence that they had the virus when the swab was taken.
As this is a household survey, our figures do not include people staying in hospitals, care homes or other institutional settings. In these settings, rates of COVID-19 infection are likely to be different. More information about rates of COVID-19 in care homes can be found in our analysis of the Vivaldi Survey.
When analysing data for the five most recent non-overlapping 14-day periods (Figure 1), these estimates suggest the percentage testing positive has decreased over time since 27 April, and this downward trend appears to have now levelled off. Over the last three 14-day periods, the variation in the percentage testing positive is consistent with random variation based on sampling.
The 14-day time periods presented in Figure 1 overlap with those presented in our previous publication, so direct comparisons are not possible.
In addition to this analysis, a more complex regression modelling approach also confirms that there is a clear downward trend (Figure 2) since the study began on 26 April, which has now levelled off. This modelling is an exploratory analysis and was conducted by our research partners at the University of Oxford and the University of Manchester.
More information about the methods used in the regression model is available in our methodology article.
Figure 2: The latest exploratory modelling shows the downward trend in those testing positive for COVID-19 on nose and throat swabs has now levelled off
Estimated percentage of the population in England testing positive for the coronavirus (COVID-19) daily since the start of the study, England, 26 April 2020
These statistics refer to infections reported in the community, by which we mean private households. These figures exclude infections reported in hospitals, care homes or other institutional settings.
It is important to note that the results are provisional and subject to revision.
This analysis was produced by our research partners at the University of Oxford and the University of Manchester.
The estimates in Figure 1 are our most accurate reflection of the proportion of the population in England testing positive for COVID-19 at any given point in time. However, the modelling in Figure 2 provides additional insight into the change over time that is not possible when comparing the 14-day estimates alone.
More information on how our estimates compare with other sources is available in Section 8: Measuring the data.
More information about the characteristics of people testing positive for COVID-19 can be found in our recent release, Coronavirus (COVID-19) infections in the community in England.
Notes for: Number of people in England who had COVID-19
- All estimates are subject to uncertainty, given that a sample is only part of the wider population. The 95% confidence intervals are calculated so that, if we were to repeat this study many times, with many different samples of households, then 95% of the time the confidence intervals would contain the true value that we are seeking to estimate.
Based on nose and throat swabs, regional modelling indicates there is no evidence of a difference in the proportion of people testing positive for COVID-19 between regions
The analysis in this section is exploratory and based on new modelling conducted by our research partners at the University of Oxford and the University of Manchester.
There is not enough evidence to say with confidence that there is a difference in infection rates between regions. The lower number of people testing positive sampled in the survey within each region means there is high uncertainty in the regional estimates for this period, as indicated by the large credible intervals across most regions.
When comparing over time, the rate of people testing positive for COVID-19 in most areas appear to have levelled off in recent periods. The proportion testing positive by region has been calculated using a similar modelling approach as the national daily trend.
Figure 4: Exploratory modelling shows that the downward trends experienced in some regions appears to have levelled off
Estimated percentage of the population testing positive for coronavirus (COVID-19) on nose and throat swabs daily between regions since the start of the study, 26 April 2020, England
- The modelling uses data from the whole survey period, since 26 April 2020, to inform the overall trend by controlling for age and sex. This is a different methodology to the national weighted estimates for England and should not be compared directly.
An estimated average of 1,700 people became newly infected with COVID-19 per day in England, for the period from 22 June to 5 July 2020
We estimate that there were two new infections per 10,000 people followed for one week, or 1,700 new infections per day. This is based on the number of new people testing positive for the coronavirus (COVID-19) on nose and throat swabs in the period from 22 June to 5 July 2020. This equates to an incidence rate of 0.02% (95% confidence interval: 0.01% to 0.05%) of people followed for one week
We use non-overlapping 14-day periods starting from 11 May as the basis for our incidence calculation to allow us to explore trends over time. When comparing incidence rates across the four 14-day periods of the study, together with the trend in those testing positive, there appears to be a decreasing number of new infections since mid-May, which has now levelled off (Figure 5).
We found that the infection rates within households follow a similar trend as for individuals. We calculated that four households per 10,000 households followed for a week were newly infected with COVID-19 in the period from 22 June to 5 July 2020 (95% confidence interval: 2 to 10). To avoid the impact of household clustering, this analysis uses only the first new infection case in any given household.
A more complex modelling approach (Figure 6) supports findings that incidence rates in individuals appears to have decreased since estimates in mid-May but has now levelled off. This modelling is an exploratory analysis and was conducted by our research partners at the University of Oxford. Rather than grouping the number of infections in 14-day periods, the model estimates a smooth change in incidence day by day. This smoothing averages out sharp changes between the 14-day periods seen in Figure 6. Therefore, the estimates provided by the model do not match the exact figures provided in the 14-day estimates Figure 5.
Figure 6: The latest exploratory modelling shows individual incidence appears to have decreased between mid-May and early June
Estimated numbers of new infections with the coronavirus (COVID-19), England, based on tests conducted daily since 11 May 2020
Confidence intervals are large at the end of the plot because while we know when the visits take place, there is a delay in getting the associated swab results. The model does not include people when their next swab result isn’t known, so the sample the size for the most recent days is smaller, resulting in wider credible intervals.
The model does not control for within household clustering.
The incidence rate measures the occurrence of new cases of COVID-19. This is not the same as the reproduction rate (R), which is the average number of secondary infections produced by one infected person.
Unlike the analysis in Section 2: Number of people in England who had COVID-19, these estimates have not been weighted to be representative of the target population in England because of the relatively small numbers of new infections in the sample.Nôl i'r tabl cynnwys
COVID-19 Infection Survey
Dataset | Released 9 July 2020
Latest findings from the pilot phase of the Coronavirus (COVID-19) Infection Survey. The data tables include analysis of the characteristics of people testing positive for COVID-19, which have not been updated since the previous bulletin.
The Coronavirus (COVID-19) Infection Survey analysis was produced by the Office for National Statistics (ONS) in collaboration with our research partners at the University of Oxford, the University of Manchester, Public Health England (PHE) and Wellcome Trust.Nôl i'r tabl cynnwys
In this bulletin, we refer to the number of coronavirus (COVID-19) infections within the community. Community in this instance refers to private households, and it excludes those in hospitals, care homes or other institutional settings.
A confidence interval gives an indication of the degree of uncertainty of an estimate, showing the precision of a sample estimate. The 95% confidence intervals are calculated so that if we repeated the study many times, 95% of the time the true unknown value would lie between the lower and upper confidence limits. A wider interval indicates more uncertainty in the estimate. For more information, see our methodology page on statistical uncertainty.
A credible interval gives an indication of the uncertainty of an estimate from data analysis. 95% credible intervals are calculated so that there is a 95% probability of the true value lying in the interval.
False-positives and false-negatives
A false-positive result occurs when the tests suggest an individual has COVID-19 when in fact they do not. By contrast, a false-negative result occurs when the tests suggest an individual does not have COVID-19 when in fact they do. For more information on false positives and false negatives, see our methodology page on sensitivity and specificity analysis.
Incidence is the rate of occurrence of new cases of the disease over a given period of time. Incidence refers to the number of individuals who have a positive test in the study divided by the time from joining the study to their last test. Individuals who are positive when they join the study are not included in this calculation.Nôl i'r tabl cynnwys
Data presented in this bulletin comes from the Coronavirus (COVID-19) Infection Survey, which looks to identify the percentage of the population testing positive for COVID-19 and whether they have symptoms or not. The survey will help track the current extent of infection and transmission of COVID-19 among the population as a whole.
This section of the bulletin provides a short summary of the study data and data collection methods. Our methodology article provides further information around the survey design, how we process data, and how data are analysed. The study protocol specifies the research for the study.
Tables 1 and 2 provide information regarding responses to our survey. The current number of households invited to participate in the survey is 50,266, of which 20,773 have enrolled. In responding households, there are 44,348 eligible individuals.
At the start of the pilot study, around 20,000 households were invited to take part, with the aim of achieving data from around 10,000 households. Since the end of May, additional households have been invited to take part in the survey each week (roughly 5,000 a week). This impacts the response rate as it takes time for those invited to respond and enroll.
The response rates cannot be regarded as final response rates to the survey since those who are invited are not given a time limit in which to respond. However, as the likelihood of enrolment decreases over time, we have provided response rate information for those initially asked to take part at the start of the survey (Table 1) where response rates can be considered relatively final. Separately, we provide response rates for those invites from 31 May (Table 2), where enrolment is still continuing.
|% of total||% of total|
|Households invited to take part (total)||20,275||100%|
|Completed households (provided at least one swab)||10,212||50%|
|Eligible individuals in responding households (total)||22,217||100%|
|Individuals who provided first swab||21,741||98%|
|Individuals who agreed to continue||18,480||83%|
Download this table Table 1: Responses to the COVID-19 Infection Survey (initial invitation, from 26 April 2020).xls .csv
|% of total||% of total|
|Households invited to take part (total)||29,991||100%|
|Completed households (provided at least one swab)||8,364||28%|
|Eligible individuals in responding households (total)||22,167||100%|
|Individuals who provided first swab||17,473||79%|
|Individuals who agreed to continue||14,853||67%|
Download this table Table 2: Responses to the COVID-19 Infection Survey (extension weeks, from 31 May 2020).xls .csv
More about coronavirus
Only England is included in this pilot phase of the study. We intend for the full survey to expand the size of the sample over the next 12 months and look to cover people across all four UK nations. Only private residential households, otherwise known as the target population in this bulletin, are included in the sample. People in hospitals, care homes and other institutional settings are not included.
The overall target population used in this study is 54,628,600.
Analysing the data
All estimates presented in this bulletin are provisional results. As swabs are not necessarily analysed in date order by the laboratory, we have not yet received test results for all swabs taken on the dates included in this analysis. Estimates may therefore be revised as more test results are included.
This is a pilot study where the analysis is developed at pace and these quality enhancements may lead to minor changes in estimates, for example, the positive test counts across the study period.
The estimates provided in Section 2: Number of people in England who had COVID-19 are for the percentage of the private-residential population testing positive for COVID-19, otherwise known as the positivity rate. We do not report on the prevalence rate within the analysis sections of this bulletin. To calculate the prevalence rate, we would need to adjust for imperfect test performance, requiring assumptions about the false-positive and false-negative rates.
Using Bayesian analysis, we have calculated what prevalence would be in different scenarios and found that even if there was a relatively high rate of false-negative results, the positivity rate presented in Section 2: Number of people in England who had COVID-19 would still be fairly close to the true figure.
For more information on false positives and false negatives, and test specificity and sensitivity please see our methodology article.
While this study looks to identify the proportion of the population testing positive for COVID-19, it is one of a number of studies that look to provide information around the coronavirus pandemic within the UK.
People testing positive for COVID-19: Public Health England (PHE) present data on the total number of laboratory-confirmed cases in England, which capture the cumulative number of people in England who have tested positive for COVID-19. Equivalent data for Wales, Scotland and Northern Ireland are also available.
These statistics present all known cases of COVID-19, both current and historical. The PHE study previously only tested people eligible for testing according to particular rules, for example, people in hospital with symptoms and certain at-risk groups of key workers. This has recently been extended to include testing of individuals experiencing COVID-19 symptoms in the wider population. By comparison, the statistics presented in this bulletin take a representative sample of the whole population in England, including people who are not otherwise prioritised for testing, something that is currently missing from other studies.
PHE also publish an estimate of the prevalence of antibodies in the blood in England using blood samples from healthy adult blood donors. PHE provide estimates by region and currently do not scale up to England. Estimates in this bulletin and those published by PHE are based on different tests; PHE estimates are based on testing using the Euroimmun assay method, while blood samples in this survey are tested by research staff at the University of Oxford for antibodies using a novel ELISA. For more information about the antibody test used in this bulletin, see the COVID-19 Infection Survey protocol.
The government announced the start of a major new national antibody testing programme at the end of May, to provide antibody tests to NHS and care staff in England. These tests prioritise NHS and care home staff who would like to be tested. It is important to note that this is a separate programme to the blood tests analysis conducted as part of our household study.
This edition of the bulletin presents headline analysis of the overall number of people infected with COVID-19, modelling of the regional positivity rate, incidence rate. We provide headline figures once a week, to give regular, concise and high-quality information on COVID-19 within the community.
Our recent release, Coronavirus infections in the community, offers more detailed analysis, which includes further exploration of the characteristics of those with COVID-19, such as age, sex, working location and occupation. We will also include further exploration of ethnicity when we have a large enough sample size to provide reliable analysis.Nôl i'r tabl cynnwys
These statistics have been produced quickly in response to developing world events. The Office for Statistics Regulation, on behalf of the UK Statistics Authority, has reviewed them against several important aspects of the Code of Practice for Statistics and regards them as consistent with the Code’s pillars of trustworthiness, quality and value.
The estimates presented in this bulletin contain uncertainty. There are many sources of uncertainty, including uncertainty in the test, in the estimates and the quality of data collected in the questionnaire. Information on the main sources of uncertainty are presented in our methodology article.Nôl i'r tabl cynnwys
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