Finding and Integrating Data for Infectious Disease Modeling
Infectious disease modelers depend on real-world data to create model estimates of infectious disease transmission and control interventions. Modelers often collect data from multiple sources, such as population demographics, disease surveillance, vaccination programs, etc. and integrate data into one model to inform health policy. It can be difficult and time consuming to find relevant data, to assess data quality, and to reformat data for use in a model. We have improved the Project Tycho repository to improve the Findability, Accessibility, Interoperability, and Reusability (FAIR) of infectious disease data. The Project Tycho repository includes 360 datasets and has over 4500 registered users that have used Project Tycho data for over 75 new scientific works. In addition, we lead the MIDAS (Models of Infectious Disease Agent Study) Network Coordination Center that aims to improve the findability and use of data for modelers in the MIDAS Network. In this seminar, Dr. Van Panhuis will discuss his vision for data discovery and retrieval for infectious disease modeling, building on Project Tycho and the MIDAS Coordination Center.