Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases.

利用数字技术来支持全球对COVID-19的公共卫生响应，包括人口监测，病例识别，接触者追踪以及基于流动性数据和与公众沟通的干预措施评估。这些快速响应利用了数十亿部手机，大型在线数据集，连接的设备，相对低成本的计算资源以及机器学习和自然语言处理方面的进步。这篇评论旨在捕捉数字创新的广度，以应对全球对COVID-19的公共卫生应对措施及其局限性和实施障碍，包括法律，道德和隐私方面的障碍，以及组织和劳动力方面的障碍。公共卫生的未来可能会变得越来越数字化，