Evidence map›Paper›PMID 24910106›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2014

Diffusion of influenza viruses among migratory birds with a focus on the Southwest United States.

Matthew Scotch, Tommy Tsan-Yuk Lam, Kristy L Pabilonia, Theodore Anderson, John Baroch, Dennis Kohler, Thomas J DeLiberto

Open access · greenAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. H9 Influenza Viruses: An Emerging Challenge.Cold Spring Harbor perspectives in medicine · 2020
    Review
  4. A brief history of bird flu.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  5. Article
  6. Review
  7. Article
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

7 authors at 5 institutions in 2 countries.

Matthew ScotchDepartment of Biomedical Informatics, College of Health Solutions, Arizona State University, Scottsdale, AZ, USA; Center for Environmental Security, Biodesign Institute, and Security and Defense Systems Initiative, Arizona State University, Tempe, AZ, USA. Electronic address: matthew.scotch@asu.edu.
Tommy Tsan-Yuk LamSchool of Public Health, The University of Hong Kong, Hong Kong.
Kristy L PabiloniaDepartment of Microbiology, Immunology & Pathology, College of Veterinary Medicine and Biological Sciences, Colorado State University, Fort Collins, CO, USA.
Theodore AndersonFort Collins Diagnostic Laboratory, Colorado State University, Fort Collins, CO, USA.
John BarochNational Wildlife Disease Program, National Wildlife Research Center, Wildlife Services, United States Department of Agriculture, Fort Collins, CO, USA.
Dennis KohlerNational Wildlife Disease Program, National Wildlife Research Center, Wildlife Services, United States Department of Agriculture, Fort Collins, CO, USA.
Thomas J DeLibertoNational Wildlife Disease Program, National Wildlife Research Center, Wildlife Services, United States Department of Agriculture, Fort Collins, CO, USA.
Colorado State University · USUnited States Department of Agriculture · USAnimal and Plant Health Inspection Service · USArizona State University · USUniversity of Hong Kong · HK

Funding

Informatics for zoonotic disease surveillance: combining animal and human dataR00LM009825 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SCOTCH, MATTHEW · 2010 to 2012
$723k
NLM NIH HHS R00 LM009825NLM NIH HHS R00LM009825
6 · The paper itself

Abstract

The Southwest United States, including Arizona and New Mexico, has a diverse climate and is home to many different avian species. We sequenced the hemagglutinin (HA) gene of twenty influenza specimens for the years 2007-2009. This included four from Arizona, and sixteen from New Mexico. We analyzed the sequences and determined the following HA subtypes: H3, H4, H6, H8, and H11. For each subtype, we combined our virus sequences with those from a public database, and inferred phylogeographic models of influenza diffusion. Statistical phylogeography indicated that overall evolutionary diffusion of avian influenza viruses is geographically structured (p<0.05). In addition, we found that diffusion to the Southwest was often from nearby states including California. For H3, H4 and H6, the intra-flyway gene flow rates were significantly (p<0.001) higher than those of inter-flyway. Such rate difference was also observed in H8 and H11, yet, without statistical significance (p=0.132, p=0.190, respectively). Excluding any one flyway from the calculation generated similar results, suggesting that such barrier effect on gene flow rates is not exclusively produced by any single flyway. We also calculated the Bayes factor test for the significant non-zero rates between states and identified significant routes both within and across flyways. Such inter-flyway spread of influenza was probably the result of birds from four flyways co-mingling on breeding grounds in northern regions or marshaling on staging areas post breeding in Canada or Alaska, before moving south each fall. This study provides an initial analysis of evolutionary diffusion of avian influenza virus to and from the Southwest United States. However, more sequences from this region need to be generated to determine the role of host migration and other factors on influenza diffusion.

Indexed as

Animal MigrationAnimalsBirdsGenotypeHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A virusInfluenza in BirdsMolecular Sequence DataPhylogenyPhylogeographySouthwestern United StatesHemagglutinin Glycoproteins, Influenza VirusInfluenza in birdsPhylogeographySouthwestern United States

Identifiers

PMID24910106
PMCPMC4124045
OpenAlexW2100959530

What OpenQuestion holds

Textmetadata
LicenceTDM
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.