Evidence map›Paper›PMID 23137647›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2013

Phylogeography of swine influenza H3N2 in the United States: translational public health for zoonotic disease surveillance.

Matthew Scotch, Changjiang Mei

Abstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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

2 authors.

Matthew ScotchDepartment of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA. matthew.scotch@asu.edu
Changjiang Mei

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 field of phylogeography has received a lot of attention for its application to molecular evolution and geographic migration of species. More recent work has included infectious diseases especially zoonotic RNA viruses like influenza and rabies. Phylogeography of viruses has the potential to advance surveillance at agencies such as public health departments, agriculture departments, and wildlife agencies. However, little is known about how these agencies could use phylogeography for applied surveillance and the integration of animal and human sequence data. Here, we highlight its potential to support 'translational public health' that could bring sequence data to the forefront of surveillance. We focus on swine influenza H3N2 because of the recent link to a variant form that has also infected humans. We discuss the implications to applied surveillance and the need for an integrated biomedical informatics approach for adoption at agencies of animal and public health.

Indexed as

AnimalsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H3N2 SubtypeOrthomyxoviridae InfectionsPhylogenyPhylogeographyPublic Health SurveillanceSwineSwine DiseasesUnited StatesZoonosesHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID23137647
PMCPMC3537880

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.