This document discusses how digital technologies can be used for epidemiology. It outlines several frameworks including screening and diagnosis, surveillance and monitoring, forecasting, outbreak detection and response, and communication and collaboration. It provides examples of using pocket labs, crowdsourced data from programs like FluWatchers, biosensors and IoT networks, social media data for forecasting and detecting outbreak signals, and crowd-sourced data for monitoring outbreak responses. It notes some points of concern around data parameters, collection methods, storage, user perspective, privacy, and design.