Evidence map›Paper›PMID 35414548›Full record

ArticleBMJ open2022

Evaluating the impacts of tiered restrictions introduced in England, during October and December 2020 on COVID-19 cases: a synthetic control study.

Xingna Zhang, Gwilym Owen, Mark A Green, Iain Buchan, Ben Barr

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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  12. A dynamic microsimulation model for epidemics.Social science & medicine (1982) · 2021
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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

5 authors.

Xingna ZhangDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK xingna.zhang@liverpool.ac.uk.ORCID 0000-0002-8849-2112
Gwilym OwenDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.ORCID 0000-0002-5258-8972
Mark A GreenDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0942-6628
Iain BuchanDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.ORCID 0000-0003-3392-1650
Ben BarrDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4208-9475

Funding

Department of Health
6 · The paper itself

Abstract

objectivesTo analyse the impact on SARS-CoV-2 transmission of tier 3 restrictions introduced in October and December 2020 in England, compared with tier 2 restrictions. We further investigate whether these effects varied between small areas by deprivation.

designSynthetic control analysis.

settingWe identified areas introducing tier 3 restrictions in October and December, constructed a synthetic control group of places under tier 2 restrictions and compared changes in weekly infections over a 4-week period. Using interaction analysis, we estimated whether this effect varied by deprivation and the prevalence of a new variant (B.1.1.7).

interventionsIn both October and December, no indoor between-household mixing was permitted in either tier 2 or 3. In October, no between-household mixing was permitted in private gardens and pubs and restaurants remained open only if they served a 'substantial meal' in tier 3, while in tier 2 meeting with up to six people in private gardens were allowed and all pubs and restaurants remained open. In December, in tier 3, pubs and restaurants were closed, while in tier 2, only those serving food remained open. The differences in restrictions between tier 2 and 3 on meeting outside remained the same as in October.

main outcome measureWeekly reported cases adjusted for changing case detection rates for neighbourhoods in England.

resultsIntroducing tier 3 restrictions in October and December was associated with a 14% (95% CI 10% to 19%) and 20% (95% CI 13% to 29%) reduction in infections, respectively, compared with the rates expected with tier 2 restrictions only. The effects were similar across levels of deprivation and by the prevalence of the new variant.

conclusionsCompared with tier 2 restrictions, additional restrictions in tier 3 areas in England had a moderate effect on transmission, which did not appear to increase socioeconomic inequalities in COVID-19 cases.

Indexed as

COVID-19SARS-CoV-2Family CharacteristicsHumansRestaurantsCOVID-19health policypublic health

Identifiers

PMID35414548
PMCPMC9006191

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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.