Visual analysis tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiology 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 of the visual analytics application ESID (Epidemiological Scenarios for Infectious Diseases). The goal of ESID is to provide a platform for rapid assessment of the most effective interventions for infectious disease control. ESID provides spatial-temporal analysis, forecasting, comparison of simulations, interactive filters, and accessibility options. In its current form, it shows the simulations of a hybrid graph-equation-based model as introduced in for infection control. The model can be stratified for different age groups and takes into account the properties of the infectious disease as well as human mobility and contact behaviour.

翻译：可视化分析工具有助于说明传染病的传播过程，并支持在流行病学和公共卫生问题上做出明智决策。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。作为对该主题的贡献，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。ESID的目标是提供一个快速评估传染病控制最有效干预措施的平台。ESID提供时空分析、预测、模拟比较、交互式筛选和可访问性选项。在其当前形式中，它展示了基于混合图-方程模型的感染控制模拟（该模型已在相关研究中介绍）。该模型可按不同年龄组进行分层，并考虑传染病的特性以及人员流动和接触行为。