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北马其顿生猪活体流动的网络分析:疾病传播途径

Network analysis of live pig movements in North Macedonia: Pathways for disease spread.

作者信息

O'Hara Kathleen C, Beltrán-Alcrudo Daniel, Hovari Mark, Tabakovski Blagojcho, Martínez-López Beatriz

机构信息

Center for Animal Disease Modeling and Surveillance (CADMS), School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.

Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia, Budapest, Hungary.

出版信息

Front Vet Sci. 2022 Aug 9;9:922412. doi: 10.3389/fvets.2022.922412. eCollection 2022.

Abstract

Globalization of trade, and the interconnectivity of animal production systems, continues to challenge efforts to control disease. A better understanding of trade networks supports development of more effective strategies for mitigation for transboundary diseases like African swine fever (ASF), classical swine fever (CSF), and foot-and-mouth disease (FMD). North Macedonia, bordered to the north and east by countries with ongoing ASF outbreaks, recently reported its first incursion of ASF. This study aimed to describe the distribution of pigs and pig farms in North Macedonia, and to characterize the live pig movement network. Network analyses on movement data from 2017 to 2019 were performed for each year separately, and consistently described weakly connected components with a few primary hubs that most nodes shipped to. In 2019, the network demonstrated a marked decrease in betweenness and increase in communities. Most shipments occurred within 50 km, with movements <6 km being the most common (22.5%). Nodes with the highest indegree and outdegree were consistent across years, despite a large turnover among smallholder farms. Movements to slaughterhouses predominated (85.6%), with movements between farms (5.4%) and movements to market (5.8%) playing a lesser role. This description of North Macedonia's live pig movement network should enable implementation of more efficient and cost-effective mitigation efforts strategies in country, and inform targeted educational outreach, and provide data for future disease modeling, in the region.

摘要

贸易全球化以及动物生产系统的相互关联性,持续对疾病防控工作构成挑战。更好地了解贸易网络有助于制定更有效的策略,以缓解非洲猪瘟(ASF)、经典猪瘟(CSF)和口蹄疫(FMD)等跨界疾病的影响。北马其顿北部和东部与正在爆发ASF疫情的国家接壤,该国最近报告了首例ASF疫情。本研究旨在描述北马其顿猪和养猪场的分布情况,并刻画生猪移动网络的特征。分别对2017年至2019年的移动数据进行了网络分析,结果一致显示存在一些弱连接组件,其中有几个主要枢纽,大多数节点都运往这些枢纽。2019年,该网络的中介中心性显著下降,社区数量增加。大多数运输发生在50公里范围内,其中6公里以内的运输最为常见(22.5%)。尽管小农户农场的人员流动很大,但入度和出度最高的节点多年来保持一致。运往屠宰场的运输占主导地位(85.6%),农场之间的运输(5.4%)和运往市场的运输(5.8%)所占比例较小。对北马其顿生猪移动网络的这一描述应能使该国实施更高效、更具成本效益的缓解措施策略,为有针对性的教育推广提供信息,并为该地区未来的疾病建模提供数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9cd/9396142/83a7208f37e3/fvets-09-922412-g0001.jpg

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