Evidence map›Paper›PMID 34078992›Full record

ArticleScientific reports2021

The interaction of ethnicity and deprivation on COVID-19 mortality risk: a retrospective ecological study.

Kausik Chaudhuri, Anindita Chakrabarti, Jose Martin Lima, Joht Singh Chandan, Siddhartha Bandyopadhyay

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
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  6. Review
  7. Ethnicity and risk for SARS-CoV-2 infection among the healthcare workforce: Results of a retrospective cohort study in rural United Kingdom.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  8. Article
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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.

Kausik ChaudhuriEconomics Division, Leeds University Business School, Leeds, LS2 9JT, UK.
Anindita ChakrabartiEconomics Division, Leeds University Business School, Leeds, LS2 9JT, UK.
Jose Martin LimaEconomics Division, Leeds University Business School, Leeds, LS2 9JT, UK.
Joht Singh ChandanInstitute of Applied Health Research, University of Birmingham, Birmingham, B152TT, UK.
Siddhartha BandyopadhyayDepartment of Economics, Birmingham Business School and Centre for Crime Justice and Policing, University of Birmingham, Birmingham, B15 2TT, UK. s.bandyopadhyay@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black, Asian and Minority Ethnic (BAME) populations are at an increased risk of developing COVID-19 and consequentially more severe outcomes compared to White populations. The aim of this study was to quantify how much of the disproportionate disease burden can be attributed to ethnicity and deprivation as well as its interaction. An ecological study was conducted using data derived from the Office for National Statistics data at a Local Authority District (LAD) level in England between 1st March and 17th April 2020. The primary analysis examined how age adjusted COVID-19 mortality depends on ethnicity, deprivation, and the interaction between the two using linear regression. The secondary analysis using spatial regression methods allowed for the quantification of the extent of LAD spillover effect of COVID-19 mortality. We find that in LADs with the highest deprivation quartile, where there is a 1 percentage point increase in "Black-African (regression coefficient 2.86; 95% CI 1.08-4.64)", "Black-Caribbean (9.66: 95% CI 5.25-14.06)" and "Bangladeshi (1.95: 95% CI 1.14-2.76)" communities, there is a significantly higher age-adjusted COVID-19 mortality compared to respective control populations. In addition, the spatial regression results indicated positive significant correlation between the age-adjusted mortality in one LAD and the age-adjusted mortality in a neighbouring LAD, suggesting a spillover effect. Our results suggest targeted public health measures to support those who are deprived and belong to BAME communities as well as to encourage restricted movement between different localities to limit disease propagation.

Indexed as

Age FactorsBlack PeopleCOVID-19Cross-Sectional StudiesEnglandHumansMinority GroupsRegression AnalysisSocioeconomic Factors

Identifiers

PMID34078992
PMCPMC8172854

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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.