{
  "abstract": "The ongoing global outbreak of Highly Pathogenic Avian Influenza Virus (HPAIv) Clade 2.3.4.4 H5N1 in poultry, which was first detected in the United States (USA) in February 2022, underscores the importance of improving food biosecurity and wild bird surveillance. The Delmarva Peninsula is vital to wintering waterfowl and to poultry production, thereby increasing the risk of HPAIv outbreaks. By using fine-scale GPS tracking of Greater Snow Geese (GSGO, N = 59) and Canada Geese (CANG, N = 9) over four winters (2019–2023), we 1) demonstrate a risk ranking system for poultry facilities based on exposure to wintering waterfowl, and 2) model this exposure in relation to temporal, geographic, and land cover factors. We showed that an ordinal-percentile ranking system, based on goose points per hour (gp/h) at poultry facilities, effectively predicted HPAIv H5N1 outbreak risks in the Delmarva Peninsula. Seven facilities with outbreaks were in the 78–99th risk percentile, including one ranked among the top 25 of 6,021 facilities. Such ranking criteria could be used to guide biosecurity efforts when response teams’ resources are limited. Notably, one-third of Delmarva poultry facilities had GPS-marked waterfowl present during winters, indicating a significant presence despite our limited sample sizes. We analyzed the variability in goose exposure rates near poultry facilities over four winters. Time (week) during winter was the key predictor of exposure, with greater GSGO presence in mid-late winter (Dec 15 to Feb 28) and CANG exposure peaking in early winter (Nov 28 to Dec 11), then stabilizing until late winter (Feb to Mar 13), whereupon exposure increased again. Colder temperatures (below 0°C) significantly increased GSGO exposure as they sought waste grain for energy. Goose exposure for both species was high throughout the winter, necessitating 24-hour surveillance. Proximity to sewage treatment plants (≤2 km), National Wildlife Refuges (≤5 km), water bodies (≤5 km), and the coast (≤20 km) increased exposure levels. Additionally, inland areas with features such as reservoirs and lakes supported large numbers of geese near facilities.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Entomology & Wildlife Ecology, University of Delaware, Newark, Delaware, United States of America",
    "Department of Animal & Food Sciences, University of Delaware, Newark, Delaware, United States of America",
    "University of California – Davis, School of Veterinary Medicine, Davis, California, United States of America",
    "U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America",
    "U.S. Geological Survey, Eastern Ecological Science Center at the Patuxent Research Refuge, Laurel, Maryland, United States of America",
    "Centre De La Science De La Biodiversité Du Québec, Université Laval, rue de l’Université, Québec, QC, Canada",
    "Canadian Wildlife Service, Environment and Climate Change Canada, Quebec, Quebec, Canada"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 11,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Matthew J. Hardy"
    },
    {
      "affs": [
        1
      ],
      "name": "Christopher K. Williams"
    },
    {
      "affs": [
        2
      ],
      "name": "Brian S. Ladman"
    },
    {
      "affs": [
        3
      ],
      "name": "Maurice E. Pitesky"
    },
    {
      "affs": [
        4
      ],
      "name": "Cory T. Overton"
    },
    {
      "affs": [
        5
      ],
      "name": "Michael L. Casazza"
    },
    {
      "affs": [
        6
      ],
      "name": "Elliott L. Matchett"
    },
    {
      "name": "Diann J. Prosser"
    },
    {
      "name": "Pierre Legagneux"
    },
    {
      "name": "Josée Lefebvre"
    },
    {
      "name": "Jeffrey J. Buler"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ffd6c4z9gf3td.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0355415",
  "fulltext_url": null,
  "id": "ffd6c4z9gf3td",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0355415",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2713|Influenza Virus Research Studies"
    ],
    [
      "plos",
      "/Biology and life sciences/Agriculture/Animal management/Livestock"
    ],
    [
      "plos",
      "/Biology and life sciences/Agriculture/Crop science/Crops"
    ],
    [
      "plos",
      "/Biology and life sciences/Agriculture/Farms"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Eukaryota/Animals/Vertebrates/Amniotes/Birds"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Eukaryota/Animals/Vertebrates/Amniotes/Birds/Fowl/Waterfowl"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Eukaryota/Animals/Vertebrates/Amniotes/Birds/Poultry"
    ],
    [
      "plos",
      "/Biology and life sciences/Zoology/Animals/Vertebrates/Amniotes/Birds"
    ],
    [
      "plos",
      "/Biology and life sciences/Zoology/Animals/Vertebrates/Amniotes/Birds/Fowl/Waterfowl"
    ],
    [
      "plos",
      "/Biology and life sciences/Zoology/Animals/Vertebrates/Amniotes/Birds/Poultry"
    ],
    [
      "plos",
      "/Engineering and technology/Sanitary engineering/Solid waste management/Sewage treatment"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Medical risk factors"
    ]
  ],
  "openalex": "W7204881290",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0355415&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/ffd6c4z9gf3td.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:02Z",
      "native_id": "10.1371/journal.pone.0355415",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0355415"
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  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:zoology",
      "subfield": "zoology-behaviour"
    }
  ],
  "title": "Using high frequency GPS data to assess wintering goose proximity to commercial poultry facilities on the Delmarva peninsula for avian influenza risk management and surveillance",
  "title_text": "Using high frequency GPS data to assess wintering goose proximity to commercial poultry facilities on the Delmarva peninsula for avian influenza risk management and surveillance",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:02Z",
  "url": "https://research.draconitic.com/paper/ffd6c4z9gf3td",
  "venue": "PLOS One",
  "versions": []
}