22 Aug 2013 10:00am

Nonlinear mechanistic models for improving the treatment of malaria: Balancing model complexity with statistical rigour

Event Location
Julie is Head of the Biostatistics Unit at the Melbourne School of Population and Global Health, The University of Melbourne and Director of the Melbourne Clinical and Translational Sciences platform...

Half of the world’s population is exposed to malaria, and with no vaccine for this disease, anti-malarial therapies are the first-line defence against malaria. Mechanistic within host models that characterize the relationship between the anti-malarial drug concentration and parasite-time profile are a valuable tool in the fight to control malaria as these models facilitate decision making regarding the choice of dosing schemes. In this presentation, I will present (i) an overview of the mechanistic within host models that have been developed, (ii) discuss the challenges of fitting these models to clinical data within a formal statistical framework, and present our work regarding (iii) sampling designs for future clinical pharmacokinetic studies and (iv) findings from a simulation study that evaluated the utility of these models.