Tighe Carlos, Ngongalah Lem, Sentís Alexis, Orchard Francisco, Pacurar Gheorghe-Aurel, Hayes Conor, Hayes Jessica S, Toader Adrian, Connolly Máire A
Insight, SFI Research Centre for Data Analytics, University of Galway, Galway, Ireland.
Trilateral Research Ltd, London, United Kingdom.
JMIR Public Health Surveill. 2025 Mar 5;11:e52119. doi: 10.2196/52119.
The COVID-19 pandemic exposed challenges in pandemic management, particularly in real-time data sharing and effective decision-making. Data protection concerns and the lack of data interoperability and standardization hindered the collection, analysis, and interpretation of critical information. Effective data visualization and customization are essential to facilitate decision-making.
This study describes the development of the PANDEM-2 dashboard, a system providing a standardized and interactive platform for decision-making in pandemic management. It outlines the participatory approaches used to involve expert end users in its development and addresses key considerations of privacy, data protection, and ethical and social issues.
Development was informed by a review of 25 publicly available COVID-19 dashboards, leading to the creation of a visualization catalog. User requirements were gathered through workshops and consultations with 20 experts from various health care and public health professions in 13 European Union countries. These were further refined by mapping variables and indicators required to fulfill the identified needs. Through a participatory design process, end users interacted with a preprototype platform, explored potential interface designs, and provided feedback to refine the system's components. Potential privacy, data protection, and ethical and social risks associated with the technology, along with mitigation strategies, were identified through an iterative impact assessment.
Key variables incorporated into the PANDEM-2 dashboard included case rates, number of deaths, mortality rates, hospital resources, hospital admissions, testing, contact tracing, and vaccination uptake. Cases, deaths, and vaccination uptake were prioritized as the most relevant and readily available variables. However, data gaps, particularly in contact tracing and mortality rates, highlighted the need for better data collection and reporting mechanisms. User feedback emphasized the importance of diverse data visualization formats combining different data types, as well as analyzing data across various time frames. Users also expressed interest in generating custom visualizations and reports, especially on the impact of government interventions. Participants noted challenges in data reporting, such as inconsistencies in reporting levels, time intervals, the need for standardization between member states, and General Data Protection Regulation concerns for data sharing. Identified risks included ethical concerns (accessibility, user autonomy, responsible use, transparency, and accountability), privacy and data protection (security and access controls and data reidentification), and social issues (unintentional bias, data quality and accuracy, dependency on technology, and collaborative development). Mitigation measures focused on designing user-friendly interfaces, implementing robust security protocols, and promoting cross-member state collaboration.
The PANDEM-2 dashboard provides an adaptable, user-friendly platform for pandemic preparedness and response. Our findings highlight the critical role of data interoperability, cross-border collaboration, and custom IT tools in strengthening future health crisis management. They also offer valuable insights into the challenges and opportunities in developing IT solutions to support pandemic preparedness.
新冠疫情暴露出疫情管理中的挑战,尤其是在实时数据共享和有效决策方面。数据保护问题以及数据缺乏互操作性和标准化阻碍了关键信息的收集、分析和解读。有效的数据可视化和定制对于促进决策至关重要。
本研究描述了PANDEM - 2仪表板的开发过程,该系统为疫情管理决策提供了一个标准化的交互式平台。它概述了在开发过程中让专家终端用户参与的参与式方法,并解决了隐私、数据保护以及伦理和社会问题等关键考量因素。
通过对25个公开可用的新冠疫情仪表板进行审查来为开发提供参考,从而创建了一个可视化目录。通过与来自欧盟13个国家的20位不同医疗保健和公共卫生专业的专家举办研讨会和进行磋商来收集用户需求。通过映射满足已确定需求所需的变量和指标,对这些需求进行了进一步细化。通过参与式设计过程,终端用户与预原型平台进行交互,探索潜在的界面设计,并提供反馈以完善系统组件。通过迭代影响评估,识别了与该技术相关的潜在隐私、数据保护以及伦理和社会风险,以及缓解策略。
纳入PANDEM - 2仪表板的关键变量包括病例率、死亡人数、死亡率、医院资源、住院人数、检测、接触者追踪和疫苗接种率。病例、死亡和疫苗接种率被列为最相关且最容易获取的变量。然而,数据缺口,尤其是在接触者追踪和死亡率方面,凸显了改进数据收集和报告机制的必要性。用户反馈强调了结合不同数据类型的多样化数据可视化格式以及跨不同时间框架分析数据的重要性。用户还对生成定制的可视化和报告表现出兴趣,特别是关于政府干预的影响。参与者指出了数据报告方面的挑战,例如报告级别、时间间隔不一致,成员国之间需要标准化,以及在数据共享方面对《通用数据保护条例》的担忧。识别出的风险包括伦理问题(可及性、用户自主性、负责任的使用、透明度和问责制)、隐私和数据保护(安全和访问控制以及数据重新识别)以及社会问题(无意的偏差、数据质量和准确性、对技术的依赖以及协作开发)。缓解措施侧重于设计用户友好的界面、实施强大的安全协议以及促进成员国之间的协作。
PANDEM - 2仪表板为疫情防范和应对提供了一个适应性强、用户友好的平台。我们的研究结果凸显了数据互操作性、跨境协作和定制IT工具在加强未来健康危机管理中的关键作用。它们还为开发支持疫情防范的IT解决方案所面临的挑战和机遇提供了宝贵的见解。