Scientific publications can be challenging for non-experts due to their complex concepts, technical terminology, and detailed descriptions of results. Interactive simulations can be used as a powerful way to communicate scientific progress to non-experts, providing a more engaging and hands-on experience that can help users understand complex processes. In this paper, we present a prototype of an interactive simulation for the “Networking during Infectious Diseases Model” (NIDM), which integrates theory from sociology, health psychology, and epidemiology to explore the interplay between social networks and the spread of infectious diseases. The prototype was developed using user-centered design and formatively evaluated. The goal of the contribution is to open the discussion on the evaluation of the prototype and to enhance the intuitive understanding of self-protective behavior and distancing measures following the outbreak of COVID-19. The results highlight the potential of interactive simulations as a tool for science communication and public engagement.

Keywords: Social Networks - Infectious Diseases - Risk Perception - Agent-based Models - Science Communication - Julia