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，即美国报告首例 COVID-19 病例后的第二天，约翰霍普金斯大学系统科学与工程中心 (JHU CSSE) 启动了首个全球实时冠状病毒监测系统：JHU CSSE COVID-19仪表板。截至 2022 年 6 月 1 日，该仪表盘已连续 30 多个月为全球受众服务，总计超过 2260 亿次特征图层请求和 3·60 亿次页面浏览。单日最高纪录是在 2020 年 3 月 29 日创下的，请求量超过 4·60 亿次，浏览量超过 6900 万次。此个人视图揭示了仪表板下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、数据更正以及支持此类工作所需的人力资源。个人观点还涵盖了从数据可视化到报告标准化的挑战。此处提供的详细信息有助于为未来大规模公共卫生相关数据收集和报告制定框架。