The epidemic comprehensive monitoring and early warning system is based on the new generation of information technology such as big data, cloud computing, artificial intelligence and the Internet of things, and can provide multi-point monitoring for the perceptual scene of epidemic prevention and control such as fever monitoring, environmental monitoring, key personnel monitoring, epidemiological investigation and testing. At the same time, it supports aggregation of multi-source and heterogeneous data such as CDC data, medical institutions data, public security data, traffic data, operator data and so on.?The intelligent analysis of multi-source data can provide epidemic prevention and control management departments with intelligent early warning, make them judge the epidemic risk of infectious diseases, support the rapid location of epidemic problems, and realize emergency command and scheduling and epidemic prevention and control measures.
