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

@article{hardy2026using,
  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}},
  author = {Matthew J. Hardy and Christopher K. Williams and Brian S. Ladman and Maurice E. Pitesky and Cory T. Overton and Michael L. Casazza and Elliott L. Matchett and Diann J. Prosser and Pierre Legagneux and Josée Lefebvre and Jeffrey J. Buler},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0355415},
  url = {https://doi.org/10.1371/journal.pone.0355415},
  note = {CC BY 4.0},
}

TY  - JOUR
TI  - 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
AU  - Matthew J. Hardy
AU  - Christopher K. Williams
AU  - Brian S. Ladman
AU  - Maurice E. Pitesky
AU  - Cory T. Overton
AU  - Michael L. Casazza
AU  - Elliott L. Matchett
AU  - Diann J. Prosser
AU  - Pierre Legagneux
AU  - Josée Lefebvre
AU  - Jeffrey J. Buler
PY  - 2026
DA  - 2026/09/01
JO  - PLOS One
DO  - 10.1371/journal.pone.0355415
UR  - https://doi.org/10.1371/journal.pone.0355415
AB  - 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.
SN  - 1932-6203
ER  -