Intelligent Health Laboratory


Computational Epidemiology Group

The Computational Epidemiology Group aims to evolve the traditional paradigm of public health practice and surveillance through innovative multi-disciplinary epidemiologic research. The overall goal is to show how emerging technologies can help clarify patterns of disease and promote public health. Our mission has materialized in a diverse set of projects that include describing the emergence of West Nile virus in New York City using satellite data, predicting patterns of Lyme disease based on climate change, analyzing patterns of influenza epidemics, finding new ways to identify problem medications using electronic medical records, understanding the geographic patterns of substance abuse, describing the impact of pollution on chronic disease, and most recently the first documented use of mobile smartphones as public health surveillance tools for both outbreak and post-marketing surveillance.