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Meaningful Big Data Integration for a Global COVID-19 Strategy
IEEE Computational Intelligence Magazine ( IF 10.3 ) Pub Date : 2020-10-15 , DOI: 10.1109/mci.2020.3019898
Joao Pita Costa , Marko Grobelnik , Flavio Fuart , Luka Stopar , Gorka Epelde , Scott Fischaber , Piotr Poliwoda , Debbie Rankin , Jonathan Wallace , Michaela Black , Raymond Bond , Maurice Mulvenna , Dale Weston , Paul Carlin , Roberto Bilbao , Gorana Nikolic , Xi Shi , Bart De Moor , Minna Pikkarainen , Jarmo Paakkonen , Anthony Staines , Regina Connolly , Paul Davis

With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health author ities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system.

中文翻译:


对全球 COVID-19 战略进行有意义的大数据集成



随着 COVID-19 大流行的迅速蔓延,新颖的有意义的数据分析和服务集成 (MIDAS) 平台迅速展示了其对这场新的全球危机的价值、相关性和可转移性。 MIDAS 平台能够连接大量孤立的异构数据源,并结合包括开放数据和社交数据在内的丰富数据集,摄取和准备这些数据以用于分析、监控和研究工具的应用。这些平台将协助公共卫生当局:(i) 更好地了解该疾病及其影响; (ii) 监测不同群体的流行病演变的不同方面; (iii) 帮助提高抵御这场全球危机影响的能力; (iv) 加强对未来突发公共卫生事件的准备。 MIDAS 中纳入和定义的治理和道德审查模型还解决了正在发展的流行病所凸显的复杂的隐私和道德问题,允许系统用户对更多、更丰富的数据源进行监督和审查。
更新日期:2020-10-15
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