Yujie Meng, MS, and Songwang Wang, MD, are with the Information Center, and Xiaopeng Qi, PhD, is Deputy Director, Center for Global Public Health; all at the Chinese Center for Disease Control and Prevention, Beijing, China. Yuzhi Zhang, PhD, Shuyu Wu, PhD, and Jeanette J. Rainey, PhD, are with the Division of Global Health Protection, Center for Global Health, US Centers for Disease Control and Prevention, Country Office in China, Beijing, China. Hongning Zhou, MSc, is Director, Yunnan Institute of Parasitic Diseases, Pu'er, China. Changwen Ke, MS, is Director, Institute of Pathogenic Microbiology, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou, China. The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of any organization.
Health Secur. 2020 Jan;18(S1):S14-S22. doi: 10.1089/hs.2019.0079.
Global spread of Zika virus in 2015 and 2016 highlighted the importance of surveillance to rapidly detect, report, and respond to emerging infections. We describe the lessons learned from the development and deployment of a web-based surveillance reporting system for Zika virus and other acute febrile illnesses (AFI) in Guangdong and Yunnan provinces, China. In less than 2 months, we customized the China Epidemiologic Dynamic Data Collection (EDDC) platform to collect, manage, and visualize data in close to real time. According to provincial and sentinel hospital staff requirements, the customized platform provided specific user authorization management, online/offline data collection, data quality control, and secure data transmission and protection and visualization tools. AFI case data and laboratory test results were entered through a web-based interface by hospital and provincial-level staff and saved on a China CDC server in Beijing. The dashboard visualized aggregate data by hospital, age, onset date, and laboratory test results. From June 2017 to December 2018, data from 768 patients with AFI were entered into the web-based surveillance system and visualized by hospital and provincial-level decision makers. Input from provincial and hospital staff was essential for developing the AFI case-reporting and feedback tools appropriate for specific settings and decision-making requirements. Web-based systems (eg, EDDC, data collection, and visualization tools that can be easily adapted to meet local surveillance needs) can help shorten time for system deployment, thereby strengthening global health security to rapidly detect and respond to emerging infections and outbreaks.
2015 年和 2016 年，寨卡病毒在全球的传播突显了监测的重要性，以便快速发现、报告和应对新出现的感染。我们描述了在中国广东和云南省开发和部署基于网络的寨卡病毒和其他急性发热性疾病（AFI）监测报告系统的经验教训。在不到 2 个月的时间里，我们定制了中国疾病预防控制中心的 Epidemiologic Dynamic Data Collection（EDDC）平台，以便近乎实时地收集、管理和可视化数据。根据省级和哨点医院工作人员的要求，定制平台提供了特定的用户授权管理、在线/离线数据收集、数据质量控制以及安全的数据传输和保护以及可视化工具。通过医院和省级工作人员的网络界面输入 AFI 病例数据和实验室检测结果，并保存在北京的中国疾病预防控制中心服务器上。仪表板通过医院、年龄、发病日期和实验室检测结果可视化汇总数据。从 2017 年 6 月至 2018 年 12 月，768 例 AFI 患者的数据被输入到基于网络的监测系统中，并由医院和省级决策者进行可视化。省级和医院工作人员的投入对于开发适合特定环境和决策要求的 AFI 病例报告和反馈工具至关重要。基于网络的系统（例如 EDDC、数据收集和可视化工具）可以轻松适应满足本地监测需求，有助于缩短系统部署时间，从而加强全球卫生安全，快速发现和应对新出现的感染和疫情。
