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瑞士猪肉生产系统与物流的演变:对传染病恢复力的影响。

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

作者信息

Galli Francesco, Perret-Gentil Saskia, Champetier Antoine, Lüchinger Rita, Harisberger Myriam, Kuntzer Thibault, Rieder Stefan, Nathues Christina, Vidondo Beatriz, Lentz Hartmut, Belik Vitaly, Dürr Salome

机构信息

Veterinary Public Health Institute, University of Bern, 3097, Liebefeld, Switzerland.

Graduate School for Cellular and Biomedical Sciences, University of Bern, 3012, Bern, Switzerland.

出版信息

Sci Rep. 2025 Mar 6;15(1):7842. doi: 10.1038/s41598-025-92011-x.

DOI:10.1038/s41598-025-92011-x
PMID:40050679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11885825/
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.

摘要

畜牧生产系统复杂且随时间演变,影响其对经济、政治及与疾病相关变化的适应能力。在欧洲,由于非洲猪瘟病毒等威胁危及猪肉生产稳定性,疾病恢复力至关重要。欧盟将农场生产类型确定为疾病传播的关键风险因素,因此追踪农场生产类型的变化以评估疾病风险很重要。然而,国家数据库中往往缺乏详细的生产类型数据。对于瑞士猪场,我们使用预测和聚类算法,在2014年至2019年间将9687至11247个贸易猪场按11种生产类型之一进行分类。然后,我们分析了生猪贸易网络,并按生产类型对农场中心性指标(入度中心性和出度中心性)进行分层。我们发现,属于三种生产类型的145个农场的入度中心性和出度中心性显著高于其他农场,这表明它们可能是疾病监测计划的目标。我们对2025年之前的预测显示,生猪贸易网络的整体连通性以及具有高入度中心性和出度中心性的生产类型比例均会增加,这表明瑞士生猪生产系统的结构变化可能会随着时间的推移增加传染病暴露风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/38243a9a4c8b/41598_2025_92011_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/7b62e24cf682/41598_2025_92011_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/0b90f86a9a3c/41598_2025_92011_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/e8aee749dc0c/41598_2025_92011_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/69822eb44c40/41598_2025_92011_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/38243a9a4c8b/41598_2025_92011_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/7b62e24cf682/41598_2025_92011_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/0b90f86a9a3c/41598_2025_92011_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/e8aee749dc0c/41598_2025_92011_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/69822eb44c40/41598_2025_92011_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5851/11885825/38243a9a4c8b/41598_2025_92011_Fig5_HTML.jpg

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本文引用的文献

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Epidemiological analysis of African swine fever in the European Union during 2022.2022年欧盟非洲猪瘟流行病学分析
EFSA J. 2023 May 22;21(5):e08016. doi: 10.2903/j.efsa.2023.8016. eCollection 2023 May.
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Direct and indirect pathways for the spread of African swine fever and other porcine infectious diseases: An application of the mental models approach.
非洲猪瘟及其他猪传染性疾病传播的直接和间接途径:心理模型方法的应用。
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4
Towards risk-based surveillance of African Swine Fever in Switzerland.瑞士基于风险的非洲猪瘟监测。
Prev Vet Med. 2022 Jul;204:105661. doi: 10.1016/j.prevetmed.2022.105661. Epub 2022 Apr 29.
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The Irish cattle population structured by enterprise type: overview, trade & trends.按企业类型划分的爱尔兰牛群结构:概述、贸易与趋势。
Ir Vet J. 2022 Apr 4;75(1):6. doi: 10.1186/s13620-022-00212-x.
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Combining expert knowledge and machine-learning to classify herd types in livestock systems.结合专家知识和机器学习对牲畜系统中的畜群类型进行分类。
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