Results
- We found 821 positives from 105,123 swabs
- Unweighted prevalence of 0.78% (95% CI, 0.73%, 0.84%)
- Weighted prevalence of 0.96% (0.87%, 1.05%)
- The weighted prevalence estimate was ~30% lower than that of 1.32% (1.20%, 1.45%) obtained in the second half of round 6
The decrease in prevalence corresponds to a halving time of 37 (30, 47) days and an R = 0.88 (0.86, 0.91).
Using only data from the most recent period, we estimate an R = 0.71 (0.54, 0.90).
A spline fit to prevalence showed a fall coinciding w/ start of lockdown.
- The national trends driven mainly by reductions in higher-prevalence northern regions
- Prevalence approx unchanged in Midlands and London
- Smaller reductions in southern lower-prevalence regions
- Sub-regional analyses showed marked declines in the North & growth in Midlands
Mutually adjusted models in round 7 (interim) indicated:
-people of Asian ethnicity
-those living in the most deprived neighbourhoods
-those living in the largest households
- healthcare and care home workers
had higher odds of swab-positivity
Conclusions:
3 weeks into 2nd national lockdown in England there has been a ~30% reduction in prevalence overall w/ greater reductions in the North
As a result, inter-regional heterogeneity has reduced, although average absolute prevalence remains high at ~1%
...
The national prevalence estimate of 0.96% translates to ~720,000 infections in England on any one day
Estimated incidence in England is ~72,000 (58,000 to 78,000) infections per day
This estimate is down from ~100,000 (90,000 to 104,000) new infections per day at end of Oct
Continued monitoring of the epidemic in the community remains essential until prevalence is reliably suppressed to much lower levels, for example, through widespread vaccination.
REACT-1 study update: Prevalence of swab positivity had increased to over 1 in 200 in England as of 26 Sep 2020. Weighted prev = 0.55% (0.47%, 0.64%). This implies 411,000 (351,000, 478,000) people are virus-positive.
Main results:
- 363 positives from 84,610 samples
- Weighted prev = 0.55% (0.47%, 0.64%)
- This continues upwards trend in prevalence seen since mid-Aug
- Highest observed prev since beginning of study in May 2020 & more than a four-fold increase in weighted prev observed in r4
- We estimate doubling time of 10.6 (9.4, 12.0) days from 20 Aug to 26 Sep
- This corresponds to a R of 1.47 (1.40, 1.53)
- Using data only from round 5 (18 Sep to 26 Sep) we estimate a R of 1.06 (0.74, 1.46) with probability of 63% that R is greater than 1.
Our latest results from the REACT-1 study show that prevalence of #COVID19 is increasing in England. Main results are highlighted below.
The full (not yet peer reviewed) pre-print is available here: tinyurl.com/y3jw765x (1/n)
The epidemic declined between rounds 1 and 2, and 2 and 3, but was increasing between rounds 3 and 4: doubling time 17 (13, 23) days and R=1.3 (1.2, 1.4)
From the most recent round 4 data (22nd August and 7th September): doubling time 7.7 (5.5, 12.7) days and R=1.7 (1.4, 2.0)
Over all four rounds of the study, we found that 72% (67%, 76%) of swab-positive individuals were asymptomatic at the time of swab and in the week prior.
Our data were suggestive of a higher rate of asymptomatic swab-positivity in children compared to adults.
Prevalence of #COVID19 in England is trending downward. Our new preprint on REACT 1 study found continued decline in prevalence and a shift in pattern of infection by age and occupation at end of initial lockdown in England. (1/n) @SRileyIDD@DrCWalters tinyurl.com/y6xzjppj
- Over both rounds combined, we estimate an
- average halving time of 38 (28, 58) days
- reproduction number (R) of 0.89.
- The proportion of asymptomatic swab-positive participants at the time of sampling increased from 69% (round 1) to 81% (round 2).
- Health care/care home workers were infected more frequently than other workers in round 1, but not in round 2
- Prevalence in 18-24 year olds reduced markedly between rounds
- Our data suggested increased risk of infection in Black and Asian (mainly South Asian) ethnicities
We used data from @Facebook and a UK mobile phone provider and found synchronised mobility patterns all across the UK (regardless of data source or geographic region). The largest reduction in mobility occurred around the time of the announcement of lockdown. (2/6)
Although mobility remained low since 26 March, we detected a gradual increase in mobility throughout the lockdown period. (3/6)
Using daily reported cases from mainland China and Hong Kong SAR, we estimated transmissibility over time and compared it to daily within-city movement, as a proxy for economic activity.
Initially, movement and transmission were very strongly correlated. However, that correlation decreased rapidly after the initial fall in transmissibility. In general, at the end of the study period the correlation was no longer apparent despite substantial increases in movement.