Key Technologies for Symptom Surveillance System: Enlightenment on the Construction of Multi-trigger Mechanism for Intelligent Early Warning of Infectious Disease

Abstract

The most prominent feature of symptom surveillance is to pay attention to the collection and use of data from multiple sources, which gives full play to the ability of different data to support early detection of infectious diseases and the detection and early warning of major infectious disease outbreaks. This feature is in line with General Secretary Xi Jinping’s "Establishment of Intelligent Early Warning with Multi-trigger mechanism" . With the construction of new infrastructure such as 5G base stations, data centers, and artificial intelligence, technical support and application scenarios are provided for the construction of an intelligent symptom surveillance system. This paper studies and analyzes the key technologies and applications of existing symptom surveillance systems in China and abroad, and aims to provide theoretical basis and practical reference for reforming and improving the disease surveillance system in China and constructing an intelligent early warning multi-trigger symptom surveillance system.