The University of Washington received a $720,456 Project Grant from the National Institute of Allergy and Infectious Diseases (CFDA 93.855 Allergy and Infectious Diseases Research) to develop methods for measuring and modeling human-animal contact networks. The 5-year grant aims to characterize the structure and dynamics of human-animal contact networks across regions in Mongolia, in order to improve the validity of zoonotic disease modeling and generate insights on human-animal interactions. The research will involve collecting empirical contact data using surveys, livestock GPS collars, and activity logs, then fitting generative network models to simulate synthetic networks for use in disease transmission models. This proof-of-principle study focuses on four endemic zoonotic diseases - brucellosis, Q fever, leptospirosis, and anaplasmosis - to demonstrate the benefits of incorporating network structure compared to random mixing assumptions. The results are expected to provide foundational methods for conducting human-animal network analyses that can enhance zoonotic disease research and control efforts.