Statistical and Data Challenges In Infectious Disease Epidemiology and Control
There is ever more computer power and available data, but sometimes the right data are still missing or difficult to obtain. At the same time, novel infectious disease threats are being identified with alarming regularity while some well-known endemic diseases remain threats. I’ll talk through specific challenging examples including the need for evidence-based (or at least evidence-informed) decisions in the control of bovine TB and the assessment of control measures for vector-borne diseases such as dengue, Zika and malaria.
Date: 26 April 2017, 16:00 (Wednesday, 1st week, Trinity 2017)
Venue: Department of Statistics, 24-29 St Giles', Oxford, OX1 3LB
Speaker: Professor Christl Donnelly (Imperial College, London)
Organiser contact email address: eleni.frangou@csm.ox.ac.uk
Topics:
Booking required?: Not required
Audience: Public
Editor: Eleni Frangou