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Communicating outputs from risk assessment models: A picture paints a thousand words
Microbial Risk Analysis ( IF 2.8 ) Pub Date : 2019-07-25 , DOI: 10.1016/j.mran.2019.07.005
Charlotte J Cook , Robin RL Simons , Verity Horigan , Amie Adkin , Giuseppe Ru , Marco de Nardi

Visualisation and presentation of complex, feature rich data is often neglected within the area of quantitative risk assessment when, in reality, a clear representation of the data may greatly support the understanding of complex results and increase acceptance of results among risk managers. Feature rich data containing many explanatory variables can be very challenging to visualise effectively in a single graphic as the message can become cluttered when using two, or more, variables. As part of the international SPARE project (SPARE project team, 2018), a generic quantitative risk assessment (QRA) combining multiple routes and routes of entry was developed (Simons et al., 2019). The risk assessment provides an overall risk score for entry and exposure of three different pathogens into individual European Union (EU) countries: Classical swine fever (CSF), Bluetongue virus (BTV) and classical rabies.

This paper describes the development of an application with graphical user interface (GUI) that allowed users, in particular risk managers, to explore the data and calculations behind the QRA. The aim was to produce an application that clearly illustrates the data and communicates the information without biasing their opinion in any way. To reach as wide an audience as possible the application should be easily accessed and understood without requiring the user to have detailed technical computing knowledge to use it.

Development of the application followed a set of design principles focused on: context, software, data inputs and interactivity. This produced an application designed for a particular audience, written in a suitable language that allowed the user to explore the data within the context of a clearly defined risk question. Accessibility options for users with visual challenges was also considered and included within the design phase.



中文翻译:

交流风险评估模型的输出:一幅画描绘了一千个单词

在定量风险评估领域中,通常忽略了复杂且功能丰富的数据的可视化和表示,而实际上,数据的清晰表示可能在很大程度上支持对复杂结果的理解并增加了风险管理人员对结果的接受度。包含许多解释变量的功能丰富的数据对于在单个图形中有效可视化可能非常具有挑战性,因为使用两个或多个变量时消息可能变得混乱。作为国际SPARE项目的一部分(SPARE项目团队,2018年),开发了将多种途径和进入途径结合在一起的通用定量风险评估(QRA)(Simons等,2019)。风险评估为三种不同病原体进入和暴露于各个欧盟国家的总体风险评分:

本文介绍了具有图形用户界面(GUI)的应用程序的开发,该应用程序允许用户(尤其是风险管理者)探索QRA背后的数据和计算。目的是创建一个可以清楚地说明数据并传达信息的应用程序,而不会以任何方式影响他们的观点。为了使受众尽可能广泛,应易于访问和理解该应用程序,而无需用户具有详细的技术计算知识来使用它。

应用程序的开发遵循一系列设计原则,这些原则专注于:上下文,软件,数据输入和交互性。这产生了一个为特定受众设计的应用程序,该应用程序以适当的语言编写,允许用户在明确定义的风险问题的上下文中浏览数据。在设计阶段还考虑了具有视觉挑战的用户的辅助功能选项。

更新日期:2019-07-25
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