Evidence map›Paper›PMID 31961906›Full record

ArticlePLoS pathogens2020

Agricultural and geographic factors shaped the North American 2015 highly pathogenic avian influenza H5N2 outbreak.

Joseph T Hicks, Dong-Hun Lee, Venkata R Duvvuri, Mia Kim Torchetti, David E Swayne, Justin Bahl

Abstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Going back to the roots: Evaluating Bayesian phylogeographic models with discrete trait uncertainty.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
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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

6 authors.

Joseph T HicksCenter for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0002-4815-8099
Dong-Hun LeeDepartment of Pathobiology and Veterinary Science, the University of Connecticut, Storrs, Connecticut, United States of America.
Venkata R DuvvuriCenter for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0001-7356-338X
Mia Kim TorchettiU.S. Department of Agriculture, Ames, Iowa, United States of America.
David E SwayneExotic and Emerging Avian Viral Diseases Research Unit, U.S. National Poultry Research Center, Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia, United States of America.ORCID 0000-0001-7472-1992
Justin BahlCenter for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0001-7572-4300

Funding

NIAID NIH HHS HHSN272201400006C
6 · The paper itself

Abstract

The 2014-2015 highly pathogenic avian influenza (HPAI) H5NX outbreak represents the largest and most expensive HPAI outbreak in the United States to date. Despite extensive traditional and molecular epidemiological studies, factors associated with the spread of HPAI among midwestern poultry premises remain unclear. To better understand the dynamics of this outbreak, 182 full genome HPAI H5N2 sequences isolated from commercial layer chicken and turkey production premises were analyzed using evolutionary models able to accommodate epidemiological and geographic information. Epidemiological compartmental models embedded in a phylogenetic framework provided evidence that poultry type acted as a barrier to the transmission of virus among midwestern poultry farms. Furthermore, after initial introduction, the propagation of HPAI cases was self-sustainable within the commercial poultry industries. Discrete trait diffusion models indicated that within state viral transitions occurred more frequently than inter-state transitions. Distance and sample size were very strongly supported as associated with viral transition between county groups (Bayes Factor > 30.0). Together these findings indicate that the different types of midwestern poultry industries were not a single homogenous population, but rather, the outbreak was shaped by poultry industries and geographic factors.

Indexed as

AgricultureAnimalsDisease OutbreaksEvolution, MolecularGeographyInfluenza A Virus, H5N2 SubtypeInfluenza in BirdsPhylogenyPoultryPoultry DiseasesUnited States

Identifiers

PMID31961906
PMCPMC7004387

What OpenQuestion holds

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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.