Visual analytics tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiological and public health issues. To create visualisation tools that are intuitive, easy to use, and effective in communicating information, continued research and development focusing on user-centric and methodological design models is extremely important. As a contribution to this topic, this paper presents the design and development process of the visual analytics application ESID (Epidemiological Scenarios for Infectious Diseases). ESID is a visual analytics tool aimed at projecting the future developments of infectious disease spread using reported and simulated data based on sound mathematical-epidemiological models. The development process involved a collaborative and participatory design approach with project partners from diverse scientific fields. The findings from these studies, along with the guidelines derived from them, played a pivotal role in shaping the visualisation tool.

翻译：可视化分析工具有助于阐释传染病的传播过程，并在流行病学和公共卫生问题上支持明智决策。为了创建直观、易用且能有效传达信息的可视化工具，持续开展以用户为中心和方法论设计模型为重点的研究与开发至关重要。作为对这一主题的贡献，本文介绍了可视化分析应用ESID（传染病流行病学场景）的设计与开发过程。ESID是一种可视化分析工具，旨在利用基于严谨数学-流行病学模型的报告数据与模拟数据，预测传染病传播的未来发展趋势。其开发过程采用了与多学科领域项目合作伙伴协作的参与式设计方法。这些研究结果及其衍生的指导原则在塑造该可视化工具的过程中发挥了关键作用。