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Influenza Virus

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Cover of 'Influenza Virus'

Table of Contents

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    Book Overview
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    Chapter 1 Understanding Influenza
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    Chapter 2 Clinical Diagnosis of Influenza
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    Chapter 3 Influenza A Virus Genetic Tools: From Clinical Sample to Molecular Clone
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    Chapter 4 Propagation and Titration of Influenza Viruses
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    Chapter 5 Purification and Proteomics of Influenza Virions
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    Chapter 6 Haploid Screening for the Identification of Host Factors in Virus Infection
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    Chapter 7 Phenotypic Lentivirus Screens to Identify Antiviral Single Domain Antibodies
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    Chapter 8 Deciphering Virus Entry with Fluorescently Labeled Viral Particles
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    Chapter 9 Quantitative RT-PCR Analysis of Influenza Virus Endocytic Escape
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    Chapter 10 Single-Molecule Sensitivity RNA FISH Analysis of Influenza Virus Genome Trafficking
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    Chapter 11 3D Electron Microscopy (EM) and Correlative Light Electron Microscopy (CLEM) Methods to Study Virus-Host Interactions
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    Chapter 12 Correlative Light and Electron Microscopy of Influenza Virus Entry and Budding
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    Chapter 13 Influenza Virus-Liposome Fusion Studies Using Fluorescence Dequenching and Cryo-electron Tomography
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    Chapter 14 Metal-Tagging Transmission Electron Microscopy and Immunogold Labeling on Tokuyasu Cryosections to Image Influenza A Virus Ribonucleoprotein Transport and Packaging
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    Chapter 15 Live Imaging of Influenza Viral Ribonucleoproteins Using Light-Sheet Microscopy
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    Chapter 16 Purification of Unanchored Polyubiquitin Chains from Influenza Virions
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    Chapter 17 Assays to Measure the Activity of Influenza Virus Polymerase
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    Chapter 18 In Vitro Models to Study Influenza Virus and Staphylococcus aureus Super-Infection on a Molecular Level
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    Chapter 19 Infection of Cultured Mammalian Cells with Aerosolized Influenza Virus
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    Chapter 20 Animal Models in Influenza Research
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    Chapter 21 Measuring Influenza Virus Infection Using Bioluminescent Reporter Viruses for In Vivo Imaging and In Vitro Replication Assays
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    Chapter 22 Selection of Antigenically Advanced Variants of Influenza Viruses
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    Chapter 23 Assessment of Influenza Virus Hemagglutinin Stalk-Specific Antibody Responses
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    Chapter 24 Analyses of Cellular Immune Responses in Ferrets Following Influenza Virus Infection
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    Chapter 25 Parameter Estimation in Mathematical Models of Viral Infections Using R
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    Chapter 26 Software for Characterizing the Antigenic and Genetic Evolution of Human Influenza Viruses
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    Chapter 27 Clinical Trials of Influenza Vaccines: Special Challenges
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    Chapter 28 The Silver Lining in Gain-of-Function Experiments with Pathogens of Pandemic Potential
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    Chapter 29 Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?
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    Chapter 30 How Computational Models Enable Mechanistic Insights into Virus Infection
Attention for Chapter 27: Clinical Trials of Influenza Vaccines: Special Challenges
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Chapter title
Clinical Trials of Influenza Vaccines: Special Challenges
Chapter number 27
Book title
Influenza Virus
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8678-1_27
Pubmed ID
Book ISBNs
978-1-4939-8677-4, 978-1-4939-8678-1
Authors

Adam Finn

Abstract

Clinical trials of vaccines differ from those of drugs both practically and ethically. Influenza vaccine trials pose additional challenges which flow from the seasonality of the disease and vaccine programmes and the changeability of circulating strains and epidemic size. Serological correlates are widely used in evaluating influenza vaccines but interpreting such responses is also difficult. Development and testing of vaccines for deployment in an influenza pandemic combines all these obstacles with extreme unpredictability, enormous urgency and the need for very large numbers of doses. Advances in manufacturing technology, diagnostics, identification of stable protective antigens and epitopes, new adjuvants and improved understanding of indirect and downstream effects may help to alleviate these difficulties in the future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Researcher 2 18%
Other 1 9%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 2 18%
Medicine and Dentistry 2 18%
Mathematics 1 9%
Environmental Science 1 9%
Immunology and Microbiology 1 9%
Other 1 9%
Unknown 3 27%