| The objective of this grant is to leverage a wealth of information from a diverse array of data sources to build a modeling platform capable of combining information to produce real-time estimates and forecasts of disease activity (Dengue and Influenza) at multiple geographic scales–nation, state, and city–using Brazil as a test case. Additionally, we will use machine learning and mechanistic models to understand disease dynamics at multiple spatial scales, across a heterogeneous country such as Brazil. |