Automatic Warning Practice of Multi-Source Surveillance and Multi-Point Trigger for Infectious Diseases - Yuhang...

This study presents empirical evidence from the implementation of an automated infectious disease warning system utilizing multi-source surveillance and multi-point triggers in Yuhang District, Hangzhou City, Zhejiang Province, so as to provide reference for more extensive practice of infectious disease surveillance and early warning in the future.

The data were obtained from the Health Emergency Intelligent Control Platform of Yuhang District from January 1 to April 30, 2024, encompassing warning signal issuance and response documentation. Descriptive epidemiological method was used to analyze the early warning signals.

From January 1 to April 30, 2024, the Health Emergency Intelligent Control Platform in Yuhang District generated 4,598 valid warning signals, with a warning signal positive rate of 36.43%. The early warning system detected 71 infectious disease outbreaks reported through the Intelligent Control Platform, including 24 single-source early warning and 47 multi-source early warning. The sensitivity was 78.02%, demonstrating improved performance compared to existing infectious disease surveillance and warning systems.

This represents the first domestic publication evaluating an automated multi-source surveillance and multi-point trigger warning system. By integrating and correlating multi-source data, the system can efficiently and accurately detect warning signals of infectious disease incidents, which has significant practical implications for early surveillance, warning, and management of infectious diseases.