Your browser doesn't support javascript.
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).
Green, Mark A; García-Fiñana, Marta; Barr, Ben; Burnside, Girvan; Cheyne, Christopher P; Hughes, David; Ashton, Matthew; Sheard, Sally; Buchan, Iain E.
  • Green MA; Senior Lecturer in Health Geography, Department of Geography & Planning, University of Liverpool, Liverpool, UK.
  • García-Fiñana M; Professor of Health Data Science, Department of Health Data Science, University of Liverpool, Liverpool, UK.
  • Barr B; Professor in Applied Public Health Research, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
  • Burnside G; Senior Lecturer in Biostatistics, Department of Health Data Science, University of Liverpool, Liverpool, UK.
  • Cheyne CP; Research Associate, Department of Health Data Science, University of Liverpool, Liverpool, UK.
  • Hughes D; Lecturer in Health Data Science, Department of Health Data Science, University of Liverpool, Liverpool, UK.
  • Ashton M; Director of Public Health, Liverpool City Council, Liverpool, UK.
  • Sheard S; Andrew Geddes and John Rankin Professor of Modern History, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
  • Buchan IE; Chair in Public Health and Clinical Informatics, Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
Lancet Reg Health Eur ; 6: 100107, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1225323
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT

BACKGROUND:

Large-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.

METHODS:

Linked 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.

FINDINGS:

214 525 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.

INTERPRETATION:

Large-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.

FUNDING:

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

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Language: English Journal: Lancet Reg Health Eur Year: 2021 Document Type: Article Affiliation country: J.lanepe.2021.100107

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Language: English Journal: Lancet Reg Health Eur Year: 2021 Document Type: Article Affiliation country: J.lanepe.2021.100107