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：视觉分析工具有助于展示传染病的传播动态，支持在流行病学及公共卫生领域做出知情决策。为创建直观易用、信息传达高效的视觉化工具，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。本文作为对该主题的贡献，介绍了视觉分析应用ESID（传染病流行病场景）的设计与开发过程。ESID是一种视觉分析工具，旨在利用基于可靠数学-流行病学模型的报告和模拟数据，预测传染病传播的未来趋势。其开发过程采用了跨学科项目伙伴协作与参与式设计方法。这些研究获得的发现及其衍生的指导原则，在塑造该视觉化工具的过程中发挥了关键作用。