This talk outlines how mathematical modelling can inform sustainable public health policy when integrated with other disciplines, illustrated through work on Cystic Echinococcosis, a parasitic zoonosis. I present practical examples that bring together transmission models, field epidemiology, veterinary practice, social science and economic assessment to co produce interventions that are feasible, acceptable and maintainable over time. Emphasising a One Health perspective, the session shows how integrated approaches improve surveillance, target control measures, and clarify trade offs and uncertainties for decision makers. Attendees will see how collaborative, people centred modelling generates operational recommendations that are more likely to be adopted and sustained in real world settings.

I am Co‑Director of the Surrey Institute for People‑Centred Artificial Intelligence and Senior Lecturer in Epidemiology at the University of Surrey. My background is in industrial engineering and working as a mathematical modeller I develop and integrate practical, multidisciplinary approaches that combine mathematics, statistics, computing, biology and social science to inform surveillance, control and elimination of infectious diseases in humans and animals. I focus on producing transparent, usable evidence — including models, forecasts and decision tools — that supports frontline health practitioners, veterinary services and policymakers. My work emphasises responsible AI and One Health approaches, co‑producing analyses with stakeholders to ensure relevance, equity and clear communication of uncertainty. I teach and supervise students in applied epidemiology and modelling, and I actively translate research into policy and operational guidance to improve real‑world disease prevention and response. www.surrey.ac.uk/people/joaquin-m-prada