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SUMMARY:BSU Seminar: &quot\;Multi-state modelling to estimate infectious d
 isease burden&quot\;  - Peter Kirwan\, MRC Biostatistics Unit
DTSTART:20241105T140000Z
DTEND:20241105T150000Z
UID:TALK224044@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Despite advances in statistical methods and comprehensive publ
 ic health surveillance\, understanding the many facets of infectious disea
 se burden remains a challenge. Questions persist of how fast a disease is 
 spreading\, who in society is most at risk\, and which interventions might
  have the capability to save lives.\n\nIn this talk I will present researc
 h undertaken as part of my PhD at the MRC Biostatistics Unit\, with a focu
 s on the development and application of multi-state models to estimate inf
 ectious disease burden from observational data. Multi-state models are a f
 lexible approach to estimating risks and lengths of stay\, and capable of 
 accounting for data biases and censoring. I will demonstrate the potential
  of these models to address certain limitations of classical survival anal
 ysis methods\, with specific application to the HIV epidemic in England an
 d the real-world effectiveness of SARS-CoV-2 vaccination.
LOCATION:MRC Biostatistics Unit\, East Forvie Building\, Forvie Site Robin
 son Way Cambridge CB2 0SR.
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