Evidence map›Paper›PMID 39755572›Full record

Observational studyBMJ open2025

Impact of tiered restrictions in December 2020 on COVID-19 hospitalisations in England: a synthetic control study.

Xingna Zhang, Daniel Hungerford, Mark Green, Marta García-Fiñana, Iain Buchan, Benjamin Barr

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Xingna ZhangDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK xingna.zhang@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-8849-2112
Daniel HungerfordNational Institute for Health and Care Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.
Mark GreenDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.
Marta García-FiñanaDepartment of Health Data Science, University of Liverpool, Liverpool, UK.
Iain BuchanNational Institute for Health and Care Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0003-3392-1650
Benjamin BarrDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effectiveness of localised Tier 3 restrictions, implemented in England in December 2020, on reducing COVID-19 hospitalisations compared with less stringent Tier 2 measures and the variations by neighbourhood deprivation and the prevalence of Alpha (B.1.1.7) variant, the primary variant of concern then, to measure hospital services' burden and inequalities across different communities.

designObservational study using a synthetic control method, comparing weekly hospitalisation rates in Tier 3 areas to a synthetic control from Tier 2 areas.

settingEngland between 4 October 2020 and 21 February 2021.

participants23 million people under Tier 3 restrictions, compared with a synthetic control group derived from 29 million people under Tier 2 restrictions.

interventionsTier 3 restrictions in designated areas were implemented from 7 December 2020, imposing stricter limits on gatherings and hospitality than Tier 2, followed by a national lockdown on 6 January 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: Weekly COVID-19-related hospitalisations for neighbourhoods in England over 11 weeks following the interventions.

resultsImplementing Tier 3 restrictions were associated with a 17% average reduction in hospitalisations compared with Tier 2 areas (95% CI 13% to 21%; 8158 (6286 to 9981) in total). The effects were similar across different levels of neighbourhood deprivation and prevalence of the Alpha variant.

conclusionsRegionally targeted Tier 3 restrictions in England had a moderate but significant effect on reducing hospitalisations. The impact did not exacerbate socioeconomic inequalities during the pandemic. Our findings suggest that regionally targeted restrictions can be effective in managing infectious diseases.

Indexed as

Communicable Disease ControlCOVID-19HospitalizationSARS-CoV-2AdultAgedEnglandFemaleHumansMaleMiddle AgedPandemicsResidence CharacteristicsCOVID-19HospitalisationPublic healthSARS-CoV-2 Infection

Identifiers

PMID39755572
PMCPMC11749879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.