Tuberculosis (TB) continues to afflict millions of people and causes over a million deaths a year worldwide, especially in countries with a high burden of HIV. Multi-drug resistance is also on the rise, causing concern among public-health experts. This talk will give an overview of my work on modelling TB and HIV in South Africa. I will present a Bayesian approach to jointly modelling the TB and HIV epidemics, where a compartmental model allowed us to understand the drivers of the epidemics and compare the effects of TB and HIV interventions. I will also describe a project on TB evolution, where a new metric combined with an optimization-based approach resulted in an accurate classification of complex infections as originating from mutation or mixed infection, as well as the identification of the strains composing these complex infections.
Modelling tuberculosis and HIV in South Africa
Tuesday, October 27, 2015 - 11:00
Leonid Chindelevitch- Assistant Professor, Computing Science, SFU
Room 4192, Earth Science Buildling, 2207 Main Mall