Controlling Infectious Disease: Mathematical Models in the Context of Antiobiotic Resistance
Speaker: Simon Levin and Ramanan Laxminarayan, Princeton University
Department: Electrical Engineering
Location: Engineering Quadrangle J201
Date/Time: Wednesday, April 10, 2013, 7:30 p.m. - 9:00 p.m.
Mathematical models can be useful in predicting the impact of intervention strategies on infectious diseases. In this two part lecture, we look at the application of models to the control of infectious diseases and their usefulness in the context of antibiotic resistance. In the first part, we introduce the basic structure of disease models, and the classical theory. In the second part, we address the growing problem of declining antibiotic effectiveness. Resistance imposes enormous costs on society in the form of increased hospitalizations, higher mortality rates, and the diversion of resources from other medical needs into the development of new and more powerful antibiotics. We discuss the application of bio-economic models that incorporate disease dynamics and human behavior in understanding how best to address this emerging global threat.