The contributions of theoretical
models in exploring the dynamics of in-host influenza
infections
Since the flu virus was first
isolated in 1933, much attention has been given
to its structure, its genome, the immune response
it elicits, vaccines to protect against it, and
its epidemiology. Information concerning the kinetics
of flu during an infection within an individual,
however, is limited. For example, key parameters
such as the rate at which flu-infected cells produce
virus or the fraction of these viruses that are
productively infectious, are still unknown.
In this talk, I will review
what is known of flu kinetics. I will then present
how mathematical and computational models have improved
our understanding of specific mechanisms involved
in a flu infection. In particular, I will discuss
the use of models to capture the dynamics of a seasonal
flu infection within human volunteers, to extract
information about the effect of the anti-flu drug
amantadine on viral kinetics in vitro, and to characterize
the emergence of drug resistance under treatment.
I will also explore how the predictive power of
these models can help guide public health decisions
with regards to drug treatment strategies, and rapid
strain identification through the clever pairing
of specific models and experiments, working in synergy.
This talk is at a level that will be of interest
to both theoretical modellers and public health
workers.
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