Abstract

Multiple genetic variants of H1 and H3 influenza A viruses (IAVs) circulate concurrently in US swine farms. Understanding the spatial transmission patterns of IAVs among these farms is crucial for developing effective control strategies and mitigating the emergence of novel IAVs. In this study, we analysed 1909 IAV genomic sequences from 785 US swine farms, representing 33 farming systems across 12 states, primarily in the Midwest from 2004 to 2023. Bayesian phylogeographic analyses were performed to identify the dispersal patterns of both H1 and H3 virus genetic lineages and to elucidate their spatial migration patterns within and between different systems. Our results showed that both intra-system and inter-system migrations occurred between the swine farms, with intra-system migrations being more frequent. However, migration rates for H1 and H3 IAVs were similar between intra-system and inter-system migration events. Spatial migration patterns aligned with expected pig movement across different compartments of swine farming systems. Sow-Farms were identified as key sources of viruses, with bi-directional migration observed between these farms and other parts of the system, including Wean-to-Finish and Gilt-Development-Units. High intra-system migration was detected across farms in the same region, while spread to geographically distant intra- and inter-system farms was less frequent. These findings suggest that prioritizing resources towards systems frequently confronting influenza problems and targeting pivotal source farms, such as sow farms, could be an effective strategy for controlling influenza in US commercial swine operations.

Details

Title
Spatial patterns of influenza A virus spread across compartments in commercial swine farms in the United States
Author
Hatuwal, Bijaya 1 ; Goel, Varun 2 ; Deliberto, Thomas J 3 ; Lowe, Jim 4 ; Emch, Michael 5 ; Webby, Richard J 6 ; Xiu-Feng Wan 7 

 Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO, USA; Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA 
 Department of Geography, University of South Carolina, Columbia, SC, USA; Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA 
 US Department of Agriculture Animal and Plant Health Inspection Service, Fort Collins, CO, USA 
 Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA 
 Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA; Department of Epidemiology, University of North Carolina School, Chapel Hill, NC, USA; Department of Geography and Environment, University of North Carolina, Chapel Hill, NC, USA 
 Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, USA 
 Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO, USA; Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA 
Publication year
2024
Publication date
Dec 2024
Publisher
Taylor & Francis Ltd.
e-ISSN
22221751
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3142112523
Copyright
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.