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Influenza Pathogenesis and Control - Volume I

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Cover of 'Influenza Pathogenesis and Control - Volume I'

Table of Contents

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    Book Overview
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    Chapter 383 Mammalian Models for the Study of H7 Virus Pathogenesis and Transmission.
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    Chapter 384 The Hemagglutinin: A Determinant of Pathogenicity.
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    Chapter 385 Influenza Pathobiology and Pathogenesis in Avian Species.
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    Chapter 386 Molecular Determinants of Pathogenicity in the Polymerase Complex
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    Chapter 387 Avian Influenza Virus Transmission to Mammals
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    Chapter 388 Molecular Determinants of Influenza Virus Pathogenesis in Mice.
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    Chapter 389 Enhancement of Influenza Virus Transmission by Gene Reassortment
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    Chapter 390 Transmission in the Guinea Pig Model
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    Chapter 391 Pathogenesis and Vaccination of Influenza A Virus in Swine.
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    Chapter 392 Swine and Influenza: A Challenge to One Health Research.
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    Chapter 393 Acid-Induced Membrane Fusion by the Hemagglutinin Protein and Its Role in Influenza Virus Biology
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    Chapter 394 Secondary Bacterial Infections in Influenza Virus Infection Pathogenesis
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    Chapter 395 Influenza A Virus Reassortment.
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    Chapter 396 Evolution and Ecology of Influenza A Viruses.
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    Chapter 419 Pandemic Preparedness and the Influenza Risk Assessment Tool (IRAT).
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    Chapter 422 Antigenic Analyses of Highly Pathogenic Avian Influenza A Viruses.
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    Chapter 423 Receptor Binding Properties of the Influenza Virus Hemagglutinin as a Determinant of Host Range
Attention for Chapter 383: Mammalian Models for the Study of H7 Virus Pathogenesis and Transmission.
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Chapter title
Mammalian Models for the Study of H7 Virus Pathogenesis and Transmission.
Chapter number 383
Book title
Influenza Pathogenesis and Control - Volume I
Published in
Current topics in microbiology and immunology, July 2014
DOI 10.1007/82_2014_383
Pubmed ID
Book ISBNs
978-3-31-911154-4, 978-3-31-911155-1
Authors

Jessica A Belser, Terrence M Tumpey, Jessica A. Belser, Terrence M. Tumpey, Belser, Jessica A., Tumpey, Terrence M.

Abstract

Mammalian models, most notably the mouse and ferret, have been instrumental in the assessment of avian influenza virus pathogenicity and transmissibility, and have been used widely to characterize the molecular determinants that confer H5N1 virulence in mammals. However, while H7 influenza viruses have typically been associated with conjunctivitis and/or mild respiratory disease in humans, severe disease and death is also possible, as underscored by the recent emergence of H7N9 viruses in China. Despite the public health need to understand the pandemic potential of this virus subtype, H7 virus pathogenesis and transmission has not been as extensively studied. In this review, we discuss the heterogeneity of H7 subtype viruses isolated from humans, and the characterization of mammalian models to study the virulence of H7 subtype viruses associated with human infection, including viruses of both high and low pathogenicity and following multiple inoculation routes. The use of the ferret transmission model to assess the influence of receptor binding preference among contemporary H7 influenza viruses is described. These models have enabled the study of preventative and therapeutic agents, including vaccines and antivirals, to reduce disease burden, and have permitted a greater appreciation that not all highly pathogenic influenza viruses are created equal.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Student > Ph. D. Student 7 18%
Researcher 6 16%
Student > Doctoral Student 2 5%
Student > Bachelor 1 3%
Other 6 16%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Medicine and Dentistry 7 18%
Immunology and Microbiology 4 11%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 7 18%
Unknown 6 16%