Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA; Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Lancet Infect Dis. 2022 Dec;22(12):e370-e376. doi: 10.1016/S1473-3099(22)00434-0. Epub 2022 Aug 31.
On Jan 22, 2020, a day after the USA reported its first COVID-19 case, the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) launched the first global real-time coronavirus surveillance system: the JHU CSSE COVID-19 Dashboard. As of June 1, 2022, the dashboard has served the global audience for more than 30 consecutive months, totalling over 226 billion feature layer requests and 3·6 billion page views. The highest daily record was set on March 29, 2020, with more than 4·6 billion requests and over 69 million views. This Personal View reveals the fundamental technical details of the entire data system underlying the dashboard, including data collection, data fusion logic, data curation and sharing, anomaly detection, data corrections, and the human resources required to support such an effort. The Personal View also covers the challenges, ranging from data visualisation to reporting standardisation. The details presented here help develop a framework for future, large-scale public health-related data collection and reporting.
2020 年 1 月 22 日,也就是美国报告首例 COVID-19 病例的第二天,约翰霍普金斯大学系统科学与工程中心 (JHU CSSE) 推出了首个全球实时冠状病毒监测系统:JHU CSSE COVID-19 仪表盘。截至 2022 年 6 月 1 日,该仪表盘已经连续为全球观众服务了 30 多个月,总特征层请求超过 2260 亿次,页面浏览量超过 36 亿次。最高日记录是 2020 年 3 月 29 日,请求超过 46 亿次,浏览量超过 6900 万次。本文观点揭示了仪表盘背后整个数据系统的基本技术细节,包括数据收集、数据融合逻辑、数据管理和共享、异常检测、数据校正以及支持此类工作所需的人力资源。本文观点还涵盖了从数据可视化到报告标准化等方面的挑战。这里呈现的细节有助于为未来大规模的公共卫生相关数据收集和报告建立一个框架。