Evidence map›Paper›PMID 40050679›Full record

ArticleScientific reports2025

Evolution of the Swiss pork production systems and logistics: the impact on infectious disease resilience.

Francesco Galli, Saskia Perret-Gentil, Antoine Champetier, Rita Lüchinger, Myriam Harisberger, Thibault Kuntzer, Stefan Rieder, Christina Nathues, Beatriz Vidondo, Hartmut Lentz and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. The burden of disease in Swiss pork production.Frontiers in veterinary science · 2025
    Article
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

12 authors.

Francesco GalliVeterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland. f.galli@mail.ch.
Saskia Perret-GentilVeterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland.
Antoine ChampetierVeterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland.
Rita LüchingerPig Health Services SUISAG, 6204, Sempach, Switzerland.
Myriam HarisbergerPig Health Services SUISAG, 6204, Sempach, Switzerland.
Thibault KuntzerIdentitas AG, 3014, Bern, Switzerland.
Stefan RiederIdentitas AG, 3014, Bern, Switzerland.
Christina NathuesFederal Food Safety and Veterinary Office, 3097, Liebefeld, Switzerland.
Beatriz VidondoVeterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland.
Hartmut LentzInstitute of Epidemiology, Friedrich-Loeffler-Institute, 17493, Greifswald, Germany.
Vitaly BelikInstitute of Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, 14163, Berlin, Germany.
Salome DürrVeterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 182404
6 · The paper itself

Abstract

Livestock production systems are complex and evolve over time, affecting their adaptability to economic, political, and disease-related changes. In Europe, disease resilience is crucial due to threats like the African swine fever virus, which jeopardizes pork production stability. The European Union identifies farm production type as a key risk factor for disease spread, making it important to track changes in farm production types to assess disease risk. However, detailed production type data is often lacking in national databases. For Swiss pig farms, we used prediction and clustering algorithms to classify 9'687 - 11'247 trading farms between 2014 and 2019 by one of eleven production types. We then analyzed the pig trade network and stratified farm centrality measures (ICC and OCC) by production type. We found that 145 farms belonging to three production types have substantially higher ICC and OCC than other farms, suggesting that they could be the target of disease surveillance programs. Our predictions until 2025 show an increase both in overall pig trade network connectivity and in proportion of production types with high ICC and OCC, indicating that the structural changes in the Swiss pig production system may increase infectious disease exposure over time.

Indexed as

African Swine FeverAnimal HusbandryCommunicable DiseasesSwine DiseasesAnimalsFarmsSwineSwitzerlandDisease resilienceDisease surveillanceLivestock production systemsSwine infectious diseasesSystem evolution

Identifiers

PMID40050679
PMCPMC11885825

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.