Abstract: [Purpose/Significance] The coronavirus pandemic has caused serious losses to China and other countries. Ignoring the rapid detection of the virus on a large scale and taking timely prevention and control measures to cut off the spread of the virus in the early period of the outbreak is an important reason for the rapid spread of the epidemic. How to realize the rapid detection of coronavirus, relieve the difficulty of virus detection ability, accurately locate the infected person and reduce the scope of infection is the key to the prevention and control of the epidemic. [Method/Process] This paper takes COVID-19 rapid detection and tracing as the starting point, and proposes a scheme to develop a coronavirus rapid detection and tracing platform. We considered the critical role of community closed management and primary health care facilities in the prevention and control of the epidemic. To reduce the flow of people and the risk of population infection, this study integrates biosensors, artificial intelligence, blockchain, and big data technologies, and gives full play to the detection ability of biosensors, the learning ability of artificial intelligence, the information transmission ability of blockchain and the analysis ability of big data. We designed a community-centric solution for a coronavirus rapid detection and tracking platform. [Results/Conclusions] Through the analysis of the solution, the coronavirus rapid detection tracking platform with community focus has the advantages of rapid virus detection, intelligent diagnosis, information sharing, security, traceability, and full-dimensional analysis. With the development of emerging technologies, this study is expected to provide innovative solutions for the intelligent epidemic prevention and control in the world at large.

Key words: novel coronavirus, virus detection, digital technology, epidemic prevention and control, big data, emergency management