Evidence map›Paper›PMID 36417468›Full record

ArticlePLoS computational biology2022

Trends in SARS-CoV-2 infection prevalence during England's roadmap out of lockdown, January to July 2021.

Oliver Eales, Haowei Wang, David Haw, Kylie E C Ainslie, Caroline E Walters, Christina Atchison, Graham Cooke, Wendy Barclay, Helen Ward, Ara Darzi and 4 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  3. Trial
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  5. The importance of playing the long game when it comes to pandemic surveillance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Oliver EalesSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8086-4495
Haowei WangSchool of Public Health, Imperial College London, London, United Kingdom.
David HawSchool of Public Health, Imperial College London, London, United Kingdom.
Kylie E C AinslieSchool of Public Health, Imperial College London, London, United Kingdom.
Caroline E WaltersSchool of Public Health, Imperial College London, London, United Kingdom.
Christina AtchisonSchool of Public Health, Imperial College London, London, United Kingdom.
Graham CookeDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Wendy BarclayDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Helen WardSchool of Public Health, Imperial College London, London, United Kingdom.
Ara DarziImperial College Healthcare NHS Trust, London, United Kingdom.ORCID 0000-0001-7815-7989
Deborah AshbySchool of Public Health, Imperial College London, London, United Kingdom.
Christl A DonnellySchool of Public Health, Imperial College London, London, United Kingdom.
Paul ElliottSchool of Public Health, Imperial College London, London, United Kingdom.
Steven RileySchool of Public Health, Imperial College London, London, United Kingdom.

Funding

British Heart Foundation RE/18/4/34215Medical Research Council MC_PC_17114Medical Research Council MC_PC_19012Medical Research Council MR/J008761/1Medical Research Council MR/L01341X/1Medical Research Council MR/R015600/1Medical Research Council MR/S019669/1Wellcome Trust 200187/Z/15/ZWellcome Trust 200861/Z/16/ZWellcome Trust 205456/Z/16/Z
6 · The paper itself

Abstract

backgroundFollowing rapidly rising COVID-19 case numbers, England entered a national lockdown on 6 January 2021, with staged relaxations of restrictions from 8 March 2021 onwards.

aimWe characterise how the lockdown and subsequent easing of restrictions affected trends in SARS-CoV-2 infection prevalence.

methodsOn average, risk of infection is proportional to infection prevalence. The REal-time Assessment of Community Transmission-1 (REACT-1) study is a repeat cross-sectional study of over 98,000 people every round (rounds approximately monthly) that estimates infection prevalence in England. We used Bayesian P-splines to estimate prevalence and the time-varying reproduction number (Rt) nationally, regionally and by age group from round 8 (beginning 6 January 2021) to round 13 (ending 12 July 2021) of REACT-1. As a comparator, a separate segmented-exponential model was used to quantify the impact on Rt of each relaxation of restrictions.

resultsFollowing an initial plateau of 1.54% until mid-January, infection prevalence decreased until 13 May when it reached a minimum of 0.09%, before increasing until the end of the study to 0.76%. Following the first easing of restrictions, which included schools reopening, the reproduction number Rt increased by 82% (55%, 108%), but then decreased by 61% (82%, 53%) at the second easing of restrictions, which was timed to match the Easter school holidays. Following further relaxations of restrictions, the observed Rt increased steadily, though the increase due to these restrictions being relaxed was offset by the effects of vaccination and also affected by the rapid rise of Delta. There was a high degree of synchrony in the temporal patterns of prevalence between regions and age groups.

conclusionHigh-resolution prevalence data fitted to P-splines allowed us to show that the lockdown was effective at reducing risk of infection with school holidays/closures playing a significant part.

Indexed as

COVID-19Bayes TheoremCommunicable Disease ControlCross-Sectional StudiesHumansSARS-CoV-2

Identifiers

PMID36417468
PMCPMC9728904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.