Abstract:

Taking City X as an example, based on the actual situation of a mega-city, big data processing and analysis methods, a large database for epidemic situation prevention and control based on “four standards and four realities” data was built. And through big data technology, to assist epidemic situation prevention and control, a system of real-time awareness of the epidemic situation, precise personnel control, and precise enterprise assistance was built. The specific technical methods were analyzed in detail, such as the data construction status in the system, the association rule mining algorithm adopted, the infection warning mechanism based on expectation maximum probability clustering, and the unstructured data utilization strategy based on text mining. The system approximately saved more than 100 000 hours for country cadres, precisely located and traced tens of thousands of susceptible people who were focused, had played a huge role in blocking epidemic infection, elevating the rate of production resumption, and reducing economic losses, therefore it has a reference significance for all parts of the country.

Key words: prevention and control of epidemic situation, big data analysis, four standards and four realities