Evidence map›Paper›PMID 34002172›Full record

ArticleThe Lancet regional health. Europe2021

Evaluating social and spatial inequalities of large scale rapid lateral flow SARS-CoV-2 antigen testing in COVID-19 management: An observational study of Liverpool, UK (November 2020 to January 2021).

Mark A Green, Marta García-Fiñana, Ben Barr, Girvan Burnside, Christopher P Cheyne, David Hughes, Matthew Ashton, Sally Sheard, Iain E Buchan

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
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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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Mark A GreenSenior Lecturer in Health Geography, Department of Geography & Planning, University of Liverpool, Liverpool, UK.
Marta García-FiñanaProfessor of Health Data Science, Department of Health Data Science, University of Liverpool, Liverpool, UK.
Ben BarrProfessor in Applied Public Health Research, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
Girvan BurnsideSenior Lecturer in Biostatistics, Department of Health Data Science, University of Liverpool, Liverpool, UK.
Christopher P CheyneResearch Associate, Department of Health Data Science, University of Liverpool, Liverpool, UK.
David HughesLecturer in Health Data Science, Department of Health Data Science, University of Liverpool, Liverpool, UK.
Matthew AshtonDirector of Public Health, Liverpool City Council, Liverpool, UK.
Sally SheardAndrew Geddes and John Rankin Professor of Modern History, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
Iain E BuchanChair in Public Health and Clinical Informatics, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.

Funding

Medical Research Council MR/R024847/1
6 · The paper itself

Abstract

backgroundLarge-scale asymptomatic testing of communities in Liverpool (UK) for SARS-CoV-2 was used as a public health tool for containing COVID-19. The aim of the study is to explore social and spatial inequalities in uptake and case-detection of rapid lateral flow SARS-CoV-2 antigen tests (LFTs) offered to people without symptoms of COVID-19.

methodsLinked pseudonymised records for asymptomatic residents in Liverpool who received a LFT for COVID-19 between 6th November 2020 to 31st January 2021 were accessed using the Combined Intelligence for Population Health Action resource. Bayesian Hierarchical Poisson Besag, York, and Mollié models were used to estimate ecological associations for uptake and positivity of testing.

findings214 525 residents (43%) received a LFT identifying 5192 individuals as positive cases of COVID-19 (1.3% of tests were positive). Uptake was highest in November when there was military assistance. High uptake was observed again in the week preceding Christmas and was sustained into a national lockdown. Overall uptake were lower among males (e.g. 40% uptake over the whole period), Black Asian and other Minority Ethnic groups (e.g. 27% uptake for 'Mixed' ethnicity) and in the most deprived areas (e.g. 32% uptake in most deprived areas). These population groups were also more likely to have received positive tests for COVID-19. Models demonstrated that uptake and repeat testing were lower in areas of higher deprivation, areas located further from test sites and areas containing populations less confident in the using Internet technologies. Positive tests were spatially clustered in deprived areas.

interpretationLarge-scale voluntary asymptomatic community testing saw social, ethnic, digital and spatial inequalities in uptake. COVID-19 testing and support to isolate need to be more accessible to the vulnerable communities most impacted by the pandemic, including non-digital means of access.

fundingDepartment of Health and Social Care (UK) and Economic and Social Research Council.

Identifiers

PMID34002172
PMCPMC8114854

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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.