Evidence map›Paper›PMID 40918599›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Avian influenza spillover into poultry: environmental influences and biosecurity protections.

Matthew Gonnerman, Jennifer M Mullinax, Andrew Fox, Kelly A Patyk, Victoria L Fields, Mary-Jane McCool, Mia K Torchetti, Kristina Lantz, Jeffery D Sullivan, Diann J Prosser

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Matthew GonnermanDepartment of Environmental Science and Technology, University of Maryland, College Park, MD 20742, USA.
Jennifer M MullinaxDepartment of Environmental Science and Technology, University of Maryland, College Park, MD 20742, USA.
Andrew FoxUnited States Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Kelly A PatykUnited States Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Victoria L FieldsUnited States Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Mary-Jane McCoolUnited States Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Mia K TorchettiNational Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA, Ames, IA, 50010, USA.
Kristina LantzNational Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA, Ames, IA, 50010, USA.
Jeffery D SullivanU.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD 20708, USA.
Diann J ProsserU.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD 20708, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continued spread of highly pathogenic avian influenza (HPAI), understanding the complex dynamics of virus transfer at the wild - agriculture interface is paramount. Spillover events (i.e., virus transfer from wild birds into poultry) are related to proximity to infected wild bird populations and environmental conditions. By accounting for such dynamics, we can take a combined approach to assess the impacts of biosecurity measures implemented at poultry farms while simultaneously accounting for their local risk levels. We implemented a Bayesian joint-likelihood logistic regression for the Continental U.S. comparing models of spatiotemporal risk according to land use, weather, and predicted waterfowl distributions followed by integrating a farm-level case-control questionnaire dataset focused on identifying trends in HPAI spillover risk associated with a farm's biosecurity practices. We found that estimates of waterfowl abundance, along with mean precipitation and temperature during winter, were most correlated with spatiotemporal HPAI risk. Additionally, we identified multiple biosecurity practices associated with reduced risk to HPAI, where the strongest relationships were related to litter decontamination treatments, vehicle wash stations, and avoiding shared dead-bird disposal sites with other farms. This model broadly guides surveillance of HPAI in wild and domestic populations, identifying when and where we are most likely to see increased instances of the virus while also providing insights into how poultry farms can better protect themselves from risk.

Indexed as

Avian influenzaBiosecurityPoultryRisk modelingSurveillanceWaterfowl

Identifiers

PMID40918599
PMCPMC12410409

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.