Literature DB >> 33888533

Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns.

Daniel J Laydon1, Swapnil Mishra2, Wes R Hinsley2, Pantelis Samartsidis3, Seth Flaxman4, Axel Gandy5, Neil M Ferguson2, Samir Bhatt2.   

Abstract

OBJECTIVE: To measure the effects of the tier system on the COVID-19 pandemic in the UK between the first and second national lockdowns, before the emergence of the B.1.1.7 variant of concern.
DESIGN: This is a modelling study combining estimates of real-time reproduction number Rt (derived from UK case, death and serological survey data) with publicly available data on regional non-pharmaceutical interventions. We fit a Bayesian hierarchical model with latent factors using these quantities to account for broader national trends in addition to subnational effects from tiers.
SETTING: The UK at lower tier local authority (LTLA) level. 310 LTLAs were included in the analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: Reduction in real-time reproduction number Rt .
RESULTS: Nationally, transmission increased between July and late September, regional differences notwithstanding. Immediately prior to the introduction of the tier system, Rt averaged 1.3 (0.9-1.6) across LTLAs, but declined to an average of 1.1 (0.86-1.42) 2 weeks later. Decline in transmission was not solely attributable to tiers. Tier 1 had negligible effects. Tiers 2 and 3, respectively, reduced transmission by 6% (5%-7%) and 23% (21%-25%). 288 LTLAs (93%) would have begun to suppress their epidemics if every LTLA had gone into tier 3 by the second national lockdown, whereas only 90 (29%) did so in reality.
CONCLUSIONS: The relatively small effect sizes found in this analysis demonstrate that interventions at least as stringent as tier 3 are required to suppress transmission, especially considering more transmissible variants, at least until effective vaccination is widespread or much greater population immunity has amassed. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  COVID-19; epidemiology; infectious diseases

Mesh:

Year:  2021        PMID: 33888533      PMCID: PMC8068949          DOI: 10.1136/bmjopen-2021-050346

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  5 in total

1.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.

Authors:  Seth Flaxman; Swapnil Mishra; Axel Gandy; H Juliette T Unwin; Thomas A Mellan; Helen Coupland; Charles Whittaker; Harrison Zhu; Tresnia Berah; Jeffrey W Eaton; Mélodie Monod; Azra C Ghani; Christl A Donnelly; Steven Riley; Michaela A C Vollmer; Neil M Ferguson; Lucy C Okell; Samir Bhatt
Journal:  Nature       Date:  2020-06-08       Impact factor: 49.962

2.  Ranking the effectiveness of worldwide COVID-19 government interventions.

Authors:  Nina Haug; Lukas Geyrhofer; Alessandro Londei; Elma Dervic; Amélie Desvars-Larrive; Vittorio Loreto; Beate Pinior; Stefan Thurner; Peter Klimek
Journal:  Nat Hum Behav       Date:  2020-11-16

3.  Estimating the burden of SARS-CoV-2 in France.

Authors:  Henrik Salje; Cécile Tran Kiem; Noémie Lefrancq; Noémie Courtejoie; Paolo Bosetti; Juliette Paireau; Alessio Andronico; Nathanaël Hozé; Jehanne Richet; Claire-Lise Dubost; Yann Le Strat; Justin Lessler; Daniel Levy-Bruhl; Arnaud Fontanet; Lulla Opatowski; Pierre-Yves Boelle; Simon Cauchemez
Journal:  Science       Date:  2020-05-13       Impact factor: 47.728

4.  Have deaths from COVID-19 in Europe plateaued due to herd immunity?

Authors:  Lucy C Okell; Robert Verity; Oliver J Watson; Swapnil Mishra; Patrick Walker; Charlie Whittaker; Aris Katzourakis; Christl A Donnelly; Steven Riley; Azra C Ghani; Axel Gandy; Seth Flaxman; Neil M Ferguson; Samir Bhatt
Journal:  Lancet       Date:  2020-06-11       Impact factor: 79.321

  5 in total
  4 in total

1.  Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe.

Authors:  Mrinank Sharma; Sören Mindermann; Jan Markus Brauner; Charlie Rogers-Smith; Gavin Leech; Benedict Snodin; Janvi Ahuja; Jonas B Sandbrink; Joshua Teperowski Monrad; George Altman; Gurpreet Dhaliwal; Lukas Finnveden; Alexander John Norman; Sebastian B Oehm; Julia Fabienne Sandkühler; Laurence Aitchison; Tomáš Gavenčiak; Thomas Mellan; Jan Kulveit; Leonid Chindelevitch; Seth Flaxman; Yarin Gal; Swapnil Mishra; Samir Bhatt
Journal:  Nat Commun       Date:  2021-10-05       Impact factor: 14.919

2.  Tiered restrictions for COVID-19 in England: knowledge, motivation and self-reported behaviour.

Authors:  L E Smith; H W W Potts; R Amlȏt; N T Fear; S Michie; G J Rubin
Journal:  Public Health       Date:  2022-01-05       Impact factor: 2.427

3.  News shocks at the local level: Evidence from a conditional Covid-19 containment measure.

Authors:  Alexandru Savu
Journal:  Econ Lett       Date:  2022-03-07

4.  Assessing Public Health and Social Measures Against COVID-19 in Japan From March to June 2021.

Authors:  Katsuma Hayashi; Taishi Kayano; Asami Anzai; Marie Fujimoto; Natalie Linton; Misaki Sasanami; Ayako Suzuki; Tetsuro Kobayashi; Kanako Otani; Masato Yamauchi; Motoi Suzuki; Hiroshi Nishiura
Journal:  Front Med (Lausanne)       Date:  2022-07-12
  4 in total

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