National Video Conference Held to Advance the Application of Data from the National Pre-Positioned Software for Intelligent Infectious Disease Surveillance and Early Warning

To further promote the practical application of data generated by the National Pre-Positioned Software for Intelligent Infectious Disease Surveillance and Early Warning (hereinafter referred to as the “pre-positioned software”) within provincial-level integrated platforms for infectious disease surveillance, early warning, and command, the Information Center of the Chinese Center for Disease Control and Prevention (China CDC) convened a national video conference on August 18, 2025. Officials from the Early Warning Division of the Department of Surveillance and Early Warning under the National Administration of Disease Control and Prevention attended the meeting. More than 150 representatives from information and relevant business departments of provincial-level CDCs across all provinces, autonomous regions, municipalities, and the Xinjiang Production and Construction Corps participated online. The meeting was chaired by Fu Gang, Director of the Information Center at China CDC.

During the meeting, Director Fu Gang emphasized that the provincial-level integrated platforms for infectious disease surveillance, early warning, and emergency command are expected to be substantially completed by the end of 2025. As a key data source, the pre-positioned software plays a crucial role. He called for the principle of “building, applying, and refining simultaneously,” and introduced the data-sharing strategies between national and provincial platforms, while also outlining the next steps in implementation. Representatives from provincial CDCs then engaged in thematic exchanges focused on the aggregation of Electronic Disease Records (EDRs) from the pre-positioned software, the coverage of healthcare institutions, as well as data analysis and application. They also shared insights on existing challenges and bottlenecks in implementation, offering constructive suggestions to help improve data quality on an ongoing basis.

The Early Warning Division of the National Administration of Disease Control and Prevention affirmed the significance of the conference, and emphasized that provincial infectious disease surveillance and early warning departments should take the lead in promoting application-driven practices. It reiterated the overarching approach of “aggregate first, validate second, apply thereafter,” and highlighted the importance of advancing step by step through “four-way comparison.” The Division also encouraged participants to actively explore application scenarios, systematically categorize and address existing issues, and strengthen the foundation for data application through improvements in rules and mechanisms—ultimately building toward the development of high-quality datasets.