Evidence map›Paper›PMID 37263602›Full record

ArticleEuropean journal of public health2023

Community factors and excess mortality in the COVID-19 pandemic in England, Italy and Sweden.

Brandon Parkes, Massimo Stafoggia, Daniela Fecht, Bethan Davies, Carl Bonander, Francesca De' Donato, Paola Michelozzi, Frédéric B Piel, Ulf Strömberg, Marta Blangiardo

Abstract read
In one paragraph

Article in European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Brandon ParkesUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-9583-0669
Massimo StafoggiaDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.ORCID 0000-0003-2843-2908
Daniela FechtUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-0738-0013
Bethan DaviesUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-6585-7641
Carl BonanderHealth Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-1189-9950
Francesca De' DonatoDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Paola MichelozziDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Frédéric B PielUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8131-7728
Ulf StrömbergSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Marta BlangiardoUK Small Area Health Statistics Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-1621-704X

Funding

Department of HealthMedical Research Council MR/L01341X/1Medical Research Council MR/S019669/1Medical Research Council MR/T03226X/1
6 · The paper itself

Abstract

backgroundAnalyses of coronavirus disease 19 suggest specific risk factors make communities more or less vulnerable to pandemic-related deaths within countries. What is unclear is whether the characteristics affecting vulnerability of small communities within countries produce similar patterns of excess mortality across countries with different demographics and public health responses to the pandemic. Our aim is to quantify community-level variations in excess mortality within England, Italy and Sweden and identify how such spatial variability was driven by community-level characteristics.

methodsWe applied a two-stage Bayesian model to quantify inequalities in excess mortality in people aged 40 years and older at the community level in England, Italy and Sweden during the first year of the pandemic (March 2020-February 2021). We used community characteristics measuring deprivation, air pollution, living conditions, population density and movement of people as covariates to quantify their associations with excess mortality.

resultsWe found just under half of communities in England (48.1%) and Italy (45.8%) had an excess mortality of over 300 per 100 000 males over the age of 40, while for Sweden that covered 23.1% of communities. We showed that deprivation is a strong predictor of excess mortality across the three countries, and communities with high levels of overcrowding were associated with higher excess mortality in England and Sweden.

conclusionThese results highlight some international similarities in factors affecting mortality that will help policy makers target public health measures to increase resilience to the mortality impacts of this and future pandemics.

Indexed as

COVID-19AdultBayes TheoremEnglandHumansItalyMaleMiddle AgedMortalityPandemicsSweden

Identifiers

PMID37263602
PMCPMC10393497

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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.