Framework for selecting integrated modelling approaches for HPAI vaccination and surveillance strategies in poultry

The objective of this project is to develop a foundational framework for selecting or adapting integrated modelling approaches to support the design and evaluation of effective vaccination and surveillance strategies for controlling Highly Pathogenic Avian Influenza (HPAI). The framework will serve as a decision-support tool for model selection, ensuring modelling efforts are fit-for-purpose and aligned with policy making needs. We will begin by reviewing and inventing available control strategies and modelling tools across partner institutes. This includes identifying both regulated and new strategies of interest to policymakers and compiling a detailed inventory of existing models. A multidisciplinary workshop will then assess the strengths, limitations, and suitability of these models to address different policy questions, producing a report on key modelling and data gaps. Building on these results, we will co-develop a set of selection criteria and guidelines through partner driven case-studies. A decision tree will also be developed to support model selection and integration. Short-term exchange visits will enhance understanding of modelling approaches and promote collaboration. Finally, we will synthesize lessons learned, define future research priorities, and produce a strategic roadmap for collaborative modelling efforts, laying the groundwork for future research collaboration at European level.