Mathematical modelling plays a critical role in guiding immunization strategies and policies worldwide. By simplifying complex real-world systems, models provide decision-makers with a structured way to evaluate policy options and trade-offs in terms of health and economic outcomes. They simulate disease transmission at the population level and synthesize diverse evidence to support informed, data-driven decisions.
WHO guidance on modelling for immunization decision-making serves as a first-line resource to strengthen the capacity of NITAG and RITAG members, EPI managers, technical working groups, and partners. It introduces core concepts, links modelling to the Evidence-to-Decision framework, and outlines best practices for engaging with modellers, interpreting results, and appraising model outputs. It also includes practical tools and guidance for both co-developing models and using existing studies, with NITAG training modules and materials forthcoming.
