Home
This Title All WIREs
WIREs RSS Feed
How to cite this WIREs title:
WIREs Syst Biol Med
Impact Factor: 2.941

Influenza A virus infection kinetics: quantitative data and models

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Influenza A virus is an important respiratory pathogen that poses a considerable threat to public health each year during seasonal epidemics and even more so when a pandemic strain emerges. Understanding the mechanisms involved in controlling an influenza infection within a host is important and could result in new and effective treatment strategies. Kinetic models of influenza viral growth and decay can summarize data and evaluate the biological parameters governing interactions between the virus and the host. Here we discuss recent viral kinetic models for influenza. We show how these models have been used to provide insight into influenza pathogenesis and treatment, and we highlight the challenges of viral kinetic analysis, including accurate model formulation, estimation of important parameters, and the collection of detailed data sets that measure multiple variables simultaneously. WIREs Syst Biol Med 2011 3 429–445 DOI: 10.1002/wsbm.129

This WIREs title offers downloadable PowerPoint presentations of figures for non-profit, educational use, provided the content is not modified and full credit is given to the author and publication.

Download a PowerPoint presentation of all images


Figure 1.

Schematic diagram of the viral dynamics models. (a) Classic model of viral dynamics. Target cells (T) are supplied at constant rate s and die at rate d per day. These cells become infected at rate βV per day. Free virions are produced from infected cells (I) at a rate p and are removed at a rate c. Infected cells are lost at a rate δ. (b) Acute virus infection model modified from the classic model. Target cell regeneration and death are not included. Infected cells were split into two classes, I1 and I2, where virus production initially undergoes an eclipse phase (k).

[ Normal View 44K | Magnified View 76K ]

Related Articles

Viruses: An Interdisciplinary View

Browse by Topic

Analytical and Computational Methods > Computational Methods
blog comments powered by Disqus

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts

In the Spotlight

Philip Benfey

Philip Benfey

Is intrigued by one of the key questions in developmental biology: how cells acquire their identities. This is an important question in human development, where stem cells divide and differentiate into skin, muscle, fat etc. It is equally central to plant development, where most organs and cells are formed from stem cell populations known as meristems. The Benfey lab addresses this question using a combination of genetics, molecular biology, and genomics to identify and characterize the genes that regulate formation of the root in the plant model system, Arabidopsis thaliana. The choice of the root as a model was based on the simplicity of its organization and its stereotyped developmental program.

Learn More

Twitter: WIREsSysBioMed Follow us on Twitter