Contagion: Optimizing foodborne outbreak analysis with automatic suggestions

Contagion is a web-based foodborne outbreak analysis tool that suggests users the most pertinent views of their data. Contagion is a proposed solution to the case when there are many ways to filter, view, and analyze a given data set and there are distinct segments of the population interested in the data set for different reasons. Contagion is unique for its ability to learn analysis patterns of previous users to suggest popular views for new users. It tailors the data viewing and analysis experience to each user. More broadly, Contagion looks at the human-computer interface and seeks to delineate which aspects of user interface design can be automated. It takes a data-driven approach to suggest views for users, reducing the influence of the user interface designer. Contagion lays the groundwork for future user interfaces to be learned, decoupling the designer from the design decisions.