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SUMMARY:Within-host models of viral and bacterial infection - Martin Lopez
 -Garcia (University of Leeds)
DTSTART:20231122T140000Z
DTEND:20231122T150000Z
UID:TALK208357@talks.cam.ac.uk
CONTACT:Paula Smith
DESCRIPTION:At Leeds\, we have been developing within-host models of infec
 tion for a number of years. Deterministic models of viral dynamics have be
 en widely used in the past to understand average behaviours\, and to quant
 ify the efficacy of treatments. On the other hand\, stochastic models allo
 w one to incorporate discrete events (such as cellular burst\, where an in
 fected cell dies releasing N virions into the extracellular environment)\,
  to look at extinction events (e.g. probably of infection establishment vs
  short-time recovery of the host\, for a given initial dose)\, and to acco
 unt for variability in summary statistics such as the reproduction number 
 (i.e.\, the number of cells infected by a typical infected cell during an 
 infection). These heterogeneities can be important for example when lookin
 g at extinction events and/or the impact of small viral doses. Stochastic 
 models allow one to obtain summary statistics related to the infection dyn
 amics across different scales (intra-cellular\, within-host and population
  levels)\, and to link these scales via multi-scale modelling approaches. 
 In this talk\, I will discuss recent work that we have carried out in this
  area.
LOCATION:Zoom
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