From static reports to modular storytelling: a new approach to communicating burden of disease data

Abstract Burden of Disease (BoD) data are often disseminated through static reports or dashboards, limiting their accessibility and relevance for diverse stakeholders. Based on our research, three elements are crucial for success: regular reporting of a comprehensive data set, building an informed user community, and continuously developing reporting formats in response to their needs. To address this, we are developing an innovative, modular reporting format that combines interactive visualizations with customizable narrative elements. Updated national BoD data will be embedded in a new subsite within the German National Public Health Institute's information system on non-communicable diseases. A Minimum Viable Product (MVP) or prototype report structure was co-designed with professional developers and public health experts. The format builds on existing JavaScript-based BoD visualizations. New modules were created for specific use cases e.g. overview, comparison, methods and data and optional ones like risk factors with bilingual content (German/English). Users can download graphics, integrate contextual notes using predefined text elements, and assemble personalized reports.The new report system will enable users to explore existing visualizations and tailor outputs by disease, age group or region. Users can download visualisations, add annotations and generate reports adapted to their context. This modular, web-based approach supports flexible, self-directed use of BoD data for communication, policy briefs or local analysis. The prototype will enable comments on the module functions during a test phase so that the MVP can be further developed. Transforming BoD communication into a more flexible, user-centered format fosters knowledge translation and contextualization. The approach bridges the gap between scientific data and decision-making by enabling stakeholders to generate their own tailored narratives from shared data sources.