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


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
22 04 2021
Historique:
entrez: 23 4 2021
pubmed: 24 4 2021
medline: 15 5 2021
Statut: epublish

Résumé

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. This is a modelling study combining estimates of real-time reproduction number The UK at lower tier local authority (LTLA) level. 310 LTLAs were included in the analysis. Reduction in real-time reproduction number Nationally, transmission increased between July and late September, regional differences notwithstanding. Immediately prior to the introduction of the tier system, 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.

Identifiants

pubmed: 33888533
pii: bmjopen-2021-050346
doi: 10.1136/bmjopen-2021-050346
pmc: PMC8068949
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e050346

Subventions

Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00002/11
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V038109/1
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

BMJ. 2020 Oct 13;371:m3961
pubmed: 33051180
Nature. 2020 Aug;584(7820):257-261
pubmed: 32512579
Lancet. 2020 Jun 20;395(10241):e110-e111
pubmed: 32534627
Science. 2020 Jul 10;369(6500):208-211
pubmed: 32404476
Nat Hum Behav. 2020 Dec;4(12):1303-1312
pubmed: 33199859

Auteurs

Daniel J Laydon (DJ)

Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK d.laydon@imperial.ac.uk.

Swapnil Mishra (S)

Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Wes R Hinsley (WR)

Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Pantelis Samartsidis (P)

MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK.

Seth Flaxman (S)

Department of Mathematics and Data Science Institute, Imperial College London, London, UK.

Axel Gandy (A)

Department of Mathematics, Imperial College London, London, UK.

Neil M Ferguson (NM)

Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Samir Bhatt (S)

Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

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Classifications MeSH