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Quantifying feral pig interactions to inform disease transmission networks

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Proboste, T., Turnlund, A., Bengsen, A., Gentle, M. N., Wilson, C., Harriott, L., Fuller, R. A., Marshall, D. and Soares-Magalhaes, R. J. (2025) Quantifying feral pig interactions to inform disease transmission networks. eLife, 13 . RP102643. ISSN 2050-084X

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Article Link: https://doi.org/10.7554/eLife.102643

Abstract

Feral pigs threaten biodiversity in 54 countries and cause an estimated $120 billion in damages annually in the USA. They endanger over 600 native species and have driven 14 to extinction. Additionally, they pose a significant zoonotic disease risk, carrying pathogens such as Brucella, leptospirosis, and Japanese encephalitis. Understanding and controlling disease spread relies on models of social dynamics, but these vary widely across regions, limiting the transferability of findings from the USA and Europe to other locations like Australia. This study addresses this gap by analysing the social interactions of 146 GPS-tracked feral pigs in Australia using a proximity-based social network approach. Findings reveal that females exhibit stronger group cohesion, while males act as key connectors between groups. Contact rates are high within groups, facilitating rapid intra-group disease spread, whereas inter-group transmission is slower. Seasonal variations further impact dynamics, with increased contact in summer. These insights suggest that targeting adult males in control programs could help limit disease outbreaks. Given the rising economic and public health concerns associated with animal diseases, the study highlights the need for localized strategies based on feral pig social behaviour to enhance global control efforts.

Item Type:Article
Corporate Creators:Department of Primary Industries, Queensland
Business groups:Biosecurity Queensland
Keywords:sus scrofa ; feral pigs ; network analysis ; contact rate ; disease modeling ; australia
Live Archive:20 May 2025 05:03
Last Modified:20 May 2025 05:03

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