Literature DB >> 23137647

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

Matthew Scotch1, Changjiang Mei.   

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.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23137647      PMCID: PMC3537880          DOI: 10.1016/j.meegid.2012.09.015

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  25 in total

1.  At the intersection of public-health informatics and bioinformatics: using advanced Web technologies for phylogeography.

Authors:  Matthew Scotch; Changjiang Mei; Cynthia Brandt; Indra Neil Sarkar; Kei Cheung
Journal:  Epidemiology       Date:  2010-11       Impact factor: 4.822

2.  Possible sources and spreading routes of highly pathogenic avian influenza virus subtype H5N1 infections in poultry and wild birds in Central Europe in 2007 inferred through likelihood analyses.

Authors:  Martin Haase; Elke Starick; Sasan Fereidouni; Günter Strebelow; Christian Grund; Anett Seeland; Carmen Scheuner; Dietmar Cieslik; Krzystof Smietanka; Zenon Minta; Olga Zorman-Rojs; Miroslav Mojzis; Teufik Goletic; Veronique Jestin; Bodo Schulenburg; Oliver Pybus; Thomas Mettenleiter; Martin Beer; Timm Harder
Journal:  Infect Genet Evol       Date:  2010-07-17       Impact factor: 3.342

3.  Selection of models of DNA evolution with jModelTest.

Authors:  David Posada
Journal:  Methods Mol Biol       Date:  2009

4.  Evolutionary dynamics of multiple sublineages of H5N1 influenza viruses in Nigeria from 2006 to 2008.

Authors:  Alice Fusaro; Martha I Nelson; Tony Joannis; Luigi Bertolotti; Isabella Monne; Annalisa Salviato; Olufemi Olaleye; Ismaila Shittu; Lanre Sulaiman; Lami H Lombin; Ilaria Capua; Edward C Holmes; Giovanni Cattoli
Journal:  J Virol       Date:  2010-01-13       Impact factor: 5.103

5.  jModelTest: phylogenetic model averaging.

Authors:  David Posada
Journal:  Mol Biol Evol       Date:  2008-04-08       Impact factor: 16.240

6.  Phylogeography takes a relaxed random walk in continuous space and time.

Authors:  Philippe Lemey; Andrew Rambaut; John J Welch; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-03-04       Impact factor: 16.240

Review 7.  Genome informatics of influenza A: from data sharing to shared analytical capabilities.

Authors:  Daniel A Janies; Igor O Voronkin; Manirupa Das; Jori Hardman; Travis W Treseder; Jonathon Studer
Journal:  Anim Health Res Rev       Date:  2010-06       Impact factor: 2.615

8.  Phylogeography of Borrelia burgdorferi in the eastern United States reflects multiple independent Lyme disease emergence events.

Authors:  Anne Gatewood Hoen; Gabriele Margos; Stephen J Bent; Maria A Diuk-Wasser; Alan Barbour; Klaus Kurtenbach; Durland Fish
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-14       Impact factor: 11.205

9.  Bayesian phylogeography finds its roots.

Authors:  Philippe Lemey; Andrew Rambaut; Alexei J Drummond; Marc A Suchard
Journal:  PLoS Comput Biol       Date:  2009-09-25       Impact factor: 4.475

10.  Evolutionary and transmission dynamics of reassortant H5N1 influenza virus in Indonesia.

Authors:  Tommy Tsan-Yuk Lam; Chung-Chau Hon; Oliver G Pybus; Sergei L Kosakovsky Pond; Raymond Tze-Yeung Wong; Chi-Wai Yip; Fanya Zeng; Frederick Chi-Ching Leung
Journal:  PLoS Pathog       Date:  2008-08-22       Impact factor: 6.823

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  4 in total

1.  Applications of Bayesian Phylodynamic Methods in a Recent U.S. Porcine Reproductive and Respiratory Syndrome Virus Outbreak.

Authors:  Mohammad A Alkhamis; Andres M Perez; Michael P Murtaugh; Xiong Wang; Robert B Morrison
Journal:  Front Microbiol       Date:  2016-02-02       Impact factor: 5.640

Review 2.  Novel analytic tools for the study of porcine reproductive and respiratory syndrome virus (PRRSv) in endemic settings: lessons learned in the U.S.

Authors:  Julio Alvarez; Pablo Valdes-Donoso; Steven Tousignant; Mohammad Alkhamis; Robert Morrison; Andres Perez
Journal:  Porcine Health Manag       Date:  2016-01-21

3.  Antibodies of influenza A(H1N1)pdm09 virus in pigs' sera cross-react with other influenza A virus subtypes. A retrospective epidemiological interpretation of Norway's serosurveillance data from 2009-2017.

Authors:  Jwee Chiek Er; Bjørn Lium; Tore Framstad
Journal:  Epidemiol Infect       Date:  2020-03-13       Impact factor: 2.451

4.  Clinical differences between H3N2 and H1N1 influenza 2012 and lower respiratory tract infection found using a statistical classification approach.

Authors:  Dimitris Petridis; Paul Zarogoulidis; Anastasios Kallianos; Ioannis Kioumis; Georgia Trakada; Dionysios Spyratos; Antonis Papaiwannou; Konstantinos Porpodis; Haidong Huang; Aggeliki Rapti; Wolfgang Hohenforst-Schmidt; Konstantinos Zarogoulidis
Journal:  Ther Clin Risk Manag       Date:  2014-02-07       Impact factor: 2.423

  4 in total

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