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SUMMARY:Modelling the transmission of Clostridium difficile in hospitals -
  Dr Madeleine Cule\, Department of Statistics\, University of Oxford
DTSTART:20111018T133000Z
DTEND:20111018T143000Z
UID:TALK32511@talks.cam.ac.uk
CONTACT:Li Su
DESCRIPTION:\n\nClostridium difficile is a major cause of healthcare-assoc
 iated\ndiarrhoea\, and controlling its spread within a healthcare setting 
 is\nan ongoing focus of significant public health effort. However\, the\nd
 ynamics of the disease are still relatively poorly\nunderstood\, and the c
 omplex\, dynamic contact network of a large hospital system makes it diffi
 cult to apply standard techniques for analysing disease outbreaks. Focussi
 ng on data collected\nwithin the Oxford Radcliffe Hospitals NHS Trust betw
 een 2007 and 2009\n(containing a total of 250\,000 hospital admissions and
  1\,000 confirmed\ncases of Clostridium difficile)\, we describe a compart
 mental model\nfor the transmission of Clostridium difficile within the hos
 pital\nsystem. A Bayesian approach allows us to estimate key epidemiologic
 al\nparameters\, as well as to assess the impact of assumptions made about
 \nthe dynamics of disease. An advantage of this framework is that it enabl
 es us to introduce additional genetic typing information about the bacteri
 a as it becomes available\, allowing us to refine our parameter estimates.
 \n
LOCATION:SMALL  Seminar Room\, 1st Floor\, Institute of Public Health\, Un
 iversity Forvie Site\, Robinson Way\, Cambridge
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