Leung, W.T.M., Fournié, G., Miech, P. et al. (11 more authors) (2026) Egocentric characterisation of the swine trade network in Cambodia and implications for disease surveillance and control. Preventive Veterinary Medicine, 247. 106724. ISSN: 0167-5877
Abstract
Across Southeast Asia, enhanced characterisation of pig value chains is needed to understand disease risk pathways and inform control and surveillance strategies. This study defined a typology of value chain actors in Cambodia and characterised their individual, ‘egocentric’, swine trade networks. Questionnaire-based cross-sectional surveys were conducted between May 2020 and April 2022 in four south-central provinces, sampling ‘egos’ via a multi-stage cluster design. We describe networks of 376 egos involving 4705 trade partners (‘alters’) and 669,363 pigs over six months. Five producer types were identified: company-affiliated large breeding (n = 21) and growing farms (n = 68), independent breeding- (n = 104) and growing-oriented smallholders (n = 77), and boar service providers (BSP; n = 19). Three pig-exchanger types were also identified: ‘traders’ (n = 11), ‘middlemen’ (n = 12), and ‘butchers’ (n = 51). Network analysis revealed BSP, middlemen, and large breeding farms as ‘brokers’ with many in- and outgoing trade links with producers, increasing their potential for pathogen introduction and onward transmission. Logistic regression supported this risk-profiling: compared to breeding-oriented smallholders, BSP had 8.1 times greater odds (95 % CI: 2.4–27.8) of high pig mortality risk (≥5 % of herd size), while large breeding farms had 6.0 times greater odds (95 % CI: 2.0–18.6) than large growing farms. Large breeding farms supplied pigs to all producer types including smallholders and BSPs (1 % of their aggregate supply), underscoring their dissemination potential. Middlemen and BSP connected otherwise weakly connected smallholders, highlighting opportunities for targeted disease-control. Slaughterhouses acted as network ‘sinks’, receiving pigs from smallholders and farms associated with different companies, making them key targets for disease surveillance. Large farms transported pigs the furthest distances (median >40 km; max >120 km) while smallholders mostly traded pigs locally (median <5 km; max 114 km). This study demonstrates the value of egocentric sampling for livestock network characterisation and contributes to the limited knowledgebase on swine trade networks in Southeast Asia.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | network analysis, livestock movement, Southeast Asia, farm typology, swine value chain, egonet, epidemiology, pigs |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Date Deposited: | 23 Apr 2026 10:46 |
| Last Modified: | 23 Apr 2026 10:46 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.prevetmed.2025.106724 |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:240390 |
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