Kylie Ainslie Profile picture
Apr 28, 2020 6 tweets 3 min read Read on X
When can the lockdown end? The results in our new preprint in @WellcomeOpenRes illustrate how the eventual decorrelation between transmission and movement is likely a key feature of successful #COVID19 exit strategies. wellcomeopenresearch.org/articles/5-81/…
@SRileyIDD @DrCWalters @MRC_Outbreak
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. Image
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. Image
At the very end of the study period, when China began to experience the re-introduction of a small number of cases from Europe and the United States, there is an apparent up-tick in transmission.
A similar analysis for Hong Kong shows that intermediate levels of local activity were maintained while avoiding a large outbreak. We observed no correlation between intra-Hong Kong movement and transmissibility. Image
Limitations: This work is an analysis of correlation, not causation. While within-city movement undoubtedly affects transmissibility, this analysis does not infer causation. We used confirmed case reports, which represent a proportion of the total number of infected individuals.

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More from @DrKAinslie

Nov 30, 2020
REACT1 round 7 interim update (13-24 Nov 2020):

We estimate that R has dropped < 1 (0.88 (0.86, 0.91)) during the second national lockdown.

Full preprint (not yet peer reviewed): imperial.ac.uk/medicine/resea…

More great work from @DrCWalters @eales96 @HaoweiWang7 @SRileyIDD

1/n
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.
Read 9 tweets
Oct 3, 2020
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.

Full results on medrxiv: medrxiv.org/content/10.110… (1/n)
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.
Read 10 tweets
Sep 11, 2020
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)

@SRileyIDD @DrCWalters @eales96 @HaoweiWang7
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.
Read 9 tweets
Aug 6, 2020
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
Read 7 tweets
Jul 20, 2020
Our new preprint shows there was a rapid and synchronised reduction in UK mobility just before and after the announcement of lockdown on 23 March. It's now live on @WellcomeOpenRes
wellcomeopenresearch.org/articles/5-170…
@SRileyIDD @DrCWalters (1/6) Image
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) Image
Although mobility remained low since 26 March, we detected a gradual increase in mobility throughout the lockdown period. (3/6) Image
Read 6 tweets

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