Going Viral (Team 10)

We aim to implement a conic geometric program to control a susceptible-infected-susceptible viral spreading process taking place in a directed network of major U.S. cities. We have built our model using disease spread data from Google Flu Trends and the Center for Disease Control and corresponding contagion parameters. Under a fixed budget, we aim to optimally distribute resources to the cities in the network to achieve the highest level of disease containment. Our ultimate goal of the project is to create a policy tool that can be used by both researchers and health organizations to maximize the containment of diseases.