Hindcasting trends of infection using crossectional test data
Infectious diseases are a major threat to the wellbeing of humans, livestock, and wildlife. However, there is often a paucity of information for responding to these threats, and thus a need to make efficient use of existing data. This thesis shows how to use Bayesian analysis to maximise the informa...
Main Author: | |
---|---|
Other Authors: | |
Published: |
University of York
2015
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678784 |