Evidence map›Paper›PMID 42416259›Full record

ArticleInternational journal of public health2026

COVID-19 disrupted patterns of cause-specific mortality in Switzerland.

Anthony Hauser, Moritz Wagner, Anna Fesser, Karim Abawi, Anne Laube, Garyfallos Konstantinoudis, Julien Riou

Abstract read
In one paragraph

Article in International journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anthony HauserDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.
Moritz WagnerCommunicable Diseases Division, Federal Office of Public Health, Bern, Switzerland.
Anna FesserCommunicable Diseases Division, Federal Office of Public Health, Bern, Switzerland.
Karim AbawiFederal Statistical Office, Neuchâtel, Switzerland.
Anne LaubeCommunicable Diseases Division, Federal Office of Public Health, Bern, Switzerland.
Garyfallos KonstantinoudisGrantham Institute for Climate Change and the Environment, Imperial College London, London, United Kingdom.
Julien RiouDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To understand disruptions in mortality patterns during the COVID-19 pandemic beyond deaths directly attributed to SARS-CoV-2. Methods: We analysed Swiss weekly deaths (2011-2021) by age, sex, region, and nine cause groups. For each age group, a Bayesian multivariate Poisson model was fitted to 2011-2019 data, accounting for seasonality, long-term trends, and cross-cause dependence. Comparing predictions with 2020-2021 observations revealed age- and cause-specific excesses. Results: Cardiovascular deaths peaked during the autumn 2020 wave, while no cause showed sustained excess across 2020-2021. In individuals aged ≥80 years, non-COVID respiratory (-25%) and mental/neurological (-12%) deaths declined, largely offset by COVID-19 deaths, leaving a modest +4.5% all-cause excess. Cardiovascular and mental/neurological excesses correlated with COVID-19 and other respiratory excesses, reflecting strong pre-pandemic cross-cause correlations ( Conclusion: These patterns likely reflect three overlapping mechanisms: reduced circulation of non-COVID-19 respiratory pathogens, unrecognized COVID-19 deaths (especially cardiovascular), and mortality displacement, pointing to possible underestimation of the true respiratory burden.

Indexed as

COVID-19MortalityAdolescentAgedAged, 80 and overBayes TheoremCause of DeathChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedSwitzerlandBayesian statisticscause-of-death statisticscause-specific mortalityCOVID-19multivariate models

Identifiers

PMID42416259
PMCPMC13338603

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.