Gang LI, Xiangchun ZHENG, Huashan YIN, et al. Application of big data technology in precise prevention and control of epidemic situation[J]. Big Data Research, 2021, 7(1): 2021009-1.
DOI:
Gang LI, Xiangchun ZHENG, Huashan YIN, et al. Application of big data technology in precise prevention and control of epidemic situation[J]. Big Data Research, 2021, 7(1): 2021009-1. DOI: 10.11959/j.issn.2096-0271.2021009.
Application of big data technology in precise prevention and control of epidemic situation
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.
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