Evidence map›Paper›PMID 38902400›Full record

ArticleScientific reports2024

Using an adaptive modeling framework to identify avian influenza spillover risk at the wild-domestic interface.

Diann J Prosser, Cody M Kent, Jeffery D Sullivan, Kelly A Patyk, Mary-Jane McCool, Mia Kim Torchetti, Kristina Lantz, Jennifer M Mullinax

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  11. Landscape changes elevate the risk of avian influenza virus diversification and emergence in the East Asian-Australasian Flyway.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

8 authors.

Diann J ProsserU.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD, 20708, USA. dprosser@usgs.gov.
Cody M KentVolunteer to the U.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD, 20708, USA.
Jeffery D SullivanU.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD, 20708, USA.
Kelly A PatykU.S. Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, 80521, USA.
Mary-Jane McCoolU.S. Department of Agriculture, Animal Plant and Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, 80521, USA.
Mia Kim 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.
Jennifer M MullinaxDepartment of Environmental Science and Technology, University of Maryland, College Park, MD, 20742, USA.

Funding

National Science Foundation (NSF) "PIPP Phase 1: International Center for Avian Influenza Pandemic Prediction and Prevention" no. 2200310USDA Animal and Plant Health Inspection Service Cooperative Agreement 6000001762
6 · The paper itself

Abstract

The wild to domestic bird interface is an important nexus for emergence and transmission of highly pathogenic avian influenza (HPAI) viruses. Although the recent incursion of HPAI H5N1 Clade 2.3.4.4b into North America calls for emergency response and planning given the unprecedented scale, readily available data-driven models are lacking. Here, we provide high resolution spatial and temporal transmission risk models for the contiguous United States. Considering virus host ecology, we included weekly species-level wild waterfowl (Anatidae) abundance and endemic low pathogenic avian influenza virus prevalence metrics in combination with number of poultry farms per commodity type and relative biosecurity risks at two spatial scales: 3 km and county-level. Spillover risk varied across the annual cycle of waterfowl migration and some locations exhibited persistent risk throughout the year given higher poultry production. Validation using wild bird introduction events identified by phylogenetic analysis from 2022 to 2023 HPAI poultry outbreaks indicate strong model performance. The modular nature of our approach lends itself to building upon updated datasets under evolving conditions, testing hypothetical scenarios, or customizing results with proprietary data. This research demonstrates an adaptive approach for developing models to inform preparedness and response as novel outbreaks occur, viruses evolve, and additional data become available.

Indexed as

Animals, WildDisease OutbreaksInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsPoultryAnimal MigrationAnimalsBirdsPhylogenyUnited StatesAvian influenzaPoultrySpillover eventsWaterfowlWild to domestic interface

Identifiers

PMID38902400
PMCPMC11189914

What OpenQuestion holds

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LicenceCC BY
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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.