| Title： | Expert Consensus on Key Technologies for Multi-point Triggered Intelligent Early Warning Systems for Infectious Diseases |
| Edition： | Original |
| Classification： | Experts consensus |
| Field： | Comprehensive guideline |
| Countries and regions： | China |
| Guidelines users： | Disease prevention and control workers, infectious disease management decision-makers, and infectious disease surveillance and early warning researchers |
| Evidence classification method： | GRADE |
| Development unit： | Chinese Academy of Medical Sciences, Peking University, Sichuan University, Public Health Surveillance Professional Committee of the Chinese Preventive Medicine Association |
| Registration time: | 2024-05-23 |
| Registration number： | PREPARE-2024CN860 |
| Purpose of the guideline: | Infectious diseases pose a significant global health threat, affecting social stability and national security. An effective infectious disease surveillance and early warning system is a crucial component of public health security and is essential for preventing and controlling outbreaks. Currently, enhancing surveillance and early warning capabilities is central to advancing high-quality development in disease prevention and control. Against this backdrop, multidisciplinary experts in epidemiology, clinical medicine, disease prevention and control, data science, and computer science have drawn on years of practical experience and conducted extensive reviews of existing domestic and international research, guidelines, and other materials. After repeated rounds of expert discussions, they have developed a consensus on the construction of intelligent surveillance and early warning systems with multi-point triggers for infectious diseases. The main content of this consensus includes the definition of related concepts for intelligent early warning systems with multi-point triggers for infectious diseases, a framework for key technologies, sources of multi-channel early warning data, classification of early warning methods, intelligent early warning pathways with multi-point triggers, response to early warning signals, and evaluation of early warning effectiveness. The aim is to provide a reference for the key technologies and platform construction of intelligent early warning systems with multi-point triggers for infectious diseases. |
Latest registration
