22 Aug 2013 10:00am

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


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.