Harnessing Dynamical footprints to detect disease emergence
Speaker: Dr. Pej Rohani University of Georgia Abstract: Developing methods for anticipating the emergence or re-emergence of infectious diseases is both important and timely, however traditional model-based approaches are stymied by uncertainty surrounding the underlying drivers. Here, we demonstrate an operational, mechanism-agnostic detection algorithm for disease (re-)emergence based on early-warning signals (EWS) derived from the […]