COMPLEX SYSTEMS SEMINAR<br>Identifiability and Interacting Scales in Modeling Disease Dynamics

Disease dynamics involve interacting factors at multiple scales, and modeling these processes can involve working with a wide range of (sometimes incomplete) data sets. I will discuss identifiability and parameter estimation of disease transmission models, and examine how these issues are affected when incorporating processes and data from a range of scales (from cellular to environmental). I will highlight examples from some of our recent work, including applications to cholera, human papillomavirus (HPV), and influenza transmission on social networks.