Data for Health Justice

Global health justice issues are deeply entwined with disciplines that speak in numbers, in the epidemiological and clinical toll of these diseases, and their economic costs. GHJP mobilizes a variety of disciplines from operations research and management science, epidemiology and mathematical modeling of disease, statistics and probability to investigate ways to understand key issues in global health justice and their individual and societal impacts, and to shape solutions through modeling and assessing alternatives for interventions.

Current Projects

Applying machine learning algorithms and queuing models to improve HIV testing and care

Applying stochastic methods and decision science to improve policy making in epidemic outbreaks

Analyzing access to HCV treatment in state prisons across US