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SUMMARY:Modelling the impact of social behaviour on infectious disease tra
 nsmission: what we do and don't know! - Alison Hale\, University of Lancas
 ter
DTSTART:20221201T110000Z
DTEND:20221201T120000Z
UID:TALK193411@talks.cam.ac.uk
CONTACT:Dr Ciara Dangerfield
DESCRIPTION:In regard to infectious diseases\, socioeconomic determinants 
 are strongly associated with differential exposure and susceptibility howe
 ver they are seldom accounted for by standard compartmental infectious dis
 ease models. These associations are explored with a novel compartmental in
 fectious disease model which\, stratified by deprivation and age\, account
 s for population-level behaviour including social mixing patterns. Using a
  fully Bayesian approach this model is fitted to the English UKHSA COVID-1
 9 community testing case data.  From this UKHSA data it is observed that d
 uring the initial period of the pandemic the most deprived groups reported
  the most cases however this trend reversed after the summer of 2021.  The
  causes underlying this reversal of fortunes are explored using forward si
 mulation experiments given the posterior from the fitted model\, specifica
 lly both differential depletion of susceptible individuals and differentia
 l changes in population level behaviour are considered.
LOCATION:Zoom
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