The rapid spread of COVID-19 infections on a global level has highlighted the need for accurate, transparent and timely information regarding collective mobility patterns to inform de-escalation strategies as well as to provide forecasting capacity for re-escalation policies aiming at addressing further waves of the virus. Such information can be extracted using aggregate anonymised data from innovative sources such as mobile positioning data. This paper presents lessons learnt and results of a unique Business-to-Government (B2G) initiative between several Mobile Network Operators in Europe and the European Commission. Mobile positioning data have supported policy makers and practitioners with evidence and data-driven knowledge to understand and predict the spread of the disease, the effectiveness of the containment measures, their socio-economic impacts while feeding scenarios at EU scale and in a comparable way across countries. The challenges of this data sharing initiative are not limited to data quality, harmonisation, and comparability across countries, however important they are. Equally essential aspects that need to be addressed from the onset are related to data privacy, security, fundamental rights and commercial sensitivity.

中文翻译：

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关于使用来自欧洲多个移动网络运营商的数据来对抗 COVID-19

COVID-19 感染在全球范围内的迅速传播突出表明需要关于集体流动模式的准确、透明和及时的信息，以告知降级策略，并为旨在应对进一步浪潮的重新升级政策提供预测能力病毒的。可以使用来自移动定位数据等创新来源的聚合匿名数据提取此类信息。本文介绍了欧洲几家移动网络运营商与欧盟委员会之间独特的企业对政府 (B2G) 计划的经验教训和结果。移动定位数据通过证据和数据驱动的知识支持决策者和从业者了解和预测疾病的传播、遏制措施的有效性、它们的社会经济影响，同时在欧盟范围内以可比的方式在各国提供情景。这项数据共享计划的挑战不仅限于数据质量、协调性和国家间的可比性，无论它们有多重要。同样需要从一开始就解决的重要方面与数据隐私、安全、基本权利和商业敏感性有关。