Evidence map›Paper›PMID 38268201›Full record

ArticleEuropean journal of public health2024

Area-level excess mortality in times of COVID-19 in Switzerland: geographical, socioeconomic and political determinants.

Julien Riou, Radoslaw Panczak, Garyfallos Konstantinoudis, Matthias Egger

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Julien RiouInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-3808-2852
Radoslaw PanczakInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Garyfallos KonstantinoudisDepartment of Epidemiology and Biostatistics, School of Public Health, MRC Centre for Environment and Health, Imperial College London, London, UK.
Matthias EggerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Funding

Swiss National Science Foundation 32FP30-189498
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19)-related excess mortality in Switzerland is well documented, but no study examined mortality at the small-area level. We analysed excess mortality in 2020 for 2141 Swiss municipalities using a Bayesian spatiotemporal model fitted to 2011-19 data. Areas most affected included the Ticino, the Romandie and the Northeast. Rural areas, municipalities within cross-border labour markets, of lower socioeconomic position and with less support for control measures in the popular vote on the COVID-19 Act had greater excess mortality. Particularly vulnerable municipalities require special efforts to mitigate the impact of pandemics.

Indexed as

COVID-19Bayes TheoremCitiesHumansMortalitySocioeconomic FactorsSwitzerland

Identifiers

PMID38268201
PMCPMC10990508

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.