Evidence map›Paper›PMID 34145260›Full record

ArticleNature communications2021

Community factors and excess mortality in first wave of the COVID-19 pandemic in England.

Bethan Davies, Brandon L Parkes, James Bennett, Daniela Fecht, Marta Blangiardo, Majid Ezzati, Paul Elliott

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  14. Has COVID-19 increased inequality in mortality by income in the Netherlands?Journal of epidemiology and community health · 2023
    Article
  15. Effects of the COVID-19 pandemic on acute coronary syndromes in Germany during the first wave: the COVID-19 collateral damage study.Clinical research in cardiology : official journal of the German Cardiac Society · 2023
    Observational
  16. 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

7 authors.

Bethan Davies *UK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.ORCID 0000-0002-6585-7641
Brandon L Parkes *UK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
James Bennett *UK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
Daniela Fecht *UK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
Marta BlangiardoUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
Majid EzzatiUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.ORCID 0000-0002-2109-8081
Paul ElliottUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK. p.elliott@imperial.ac.uk.ORCID 0000-0002-7511-5684

Funding

British Heart Foundation RE/18/4/34215Department of Health NIHR-200880Department of Health NIHR-200922Medical Research Council MC_PC_17114Medical Research Council MR/L01341X/1Medical Research Council MR/S019669/1Medical Research Council MR/T03226X/1Wellcome TrustWellcome Trust 209376/Z/17/Z
6 · The paper itself

Abstract

Risk factors for increased risk of death from COVID-19 have been identified, but less is known on characteristics that make communities resilient or vulnerable to the mortality impacts of the pandemic. We applied a two-stage Bayesian spatial model to quantify inequalities in excess mortality in people aged 40 years and older at the community level during the first wave of the pandemic in England, March-May 2020 compared with 2015-2019. Here we show that communities with an increased risk of excess mortality had a high density of care homes, and/or high proportion of residents on income support, living in overcrowded homes and/or with a non-white ethnicity. We found no association between population density or air pollution and excess mortality. Effective and timely public health and healthcare measures that target the communities at greatest risk are urgently needed to avoid further widening of inequalities in mortality patterns as the pandemic progresses.

Indexed as

AdultAgedAged, 80 and overBayes TheoremCOVID-19EnglandFemaleHealthcare DisparitiesHumansMaleMiddle AgedPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2Socioeconomic Factors

Identifiers

PMID34145260
PMCPMC8213785

What OpenQuestion holds

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Registered trials

None linked

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.