Epidemic situation propagation tracking method and system

Abstract

The invention provides an epidemic situation propagation tracking method and system. The method is based on space-time big data and artificial intelligence technology, a research method which integrates new coronal pneumonia individual attack risk factors and a personal close contact dynamic relation network is adopted, and a more comprehensive personal infection risk assessment model is constructed. According to the method, the real-time data mining technology and the knowledge graph technology are combined, and the personnel space-time relation graph is constructed, so that dynamic management of close contact relations of infected persons and cross-department knowledge fusion can be realized. Meanwhile, an infectious disease model is applied to a dynamic personnel relation map with a local community structure and is combined with epidemiological investigation and research, and the personal close contact relation between individual attack risk factors and individuals is comprehensively considered, so that scientific, rapid, accurate and dynamic personal infection risk assessment and modeling prediction are realized; therefore, potential infected persons with high risk can be found as soon as possible, and the epidemic situation prevention and control management capability can be improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for tracking the spread of an epidemic. Background technique [0002] COVID-19 has the obvious characteristics of "human-to-human transmission". After the outbreak, it spread rapidly and widely, and has become a major public health security event threatening the world. The sudden outbreak of the new crown epidemic has put forward new requirements for public health safety emergency management and response capabilities, as well as scientific and technological informatization capabilities. The assessment of personal infection risk during the spread of new crown pneumonia is an important prerequisite and basis for accurately locating the epidemic situation, carrying out the prevention and control of the new crown pneumonia epidemic, and emergency management. solved problem. [0003] Existing disease infection risk assessment research methods main...

AI Technical Summary

Problems solved by technology

[0015] 1. The level of informatization of the Center for Disease Control and Prevention is relatively lagging behind, and information sharing is insufficient:

[0016] In the prevention and control of new coronary pneumonia, due to the relatively lagging level of information construction of the Center for Disease Control and Prevention, and insufficient data fusion and knowledge sharing among multiple departments, many researchers can only manually collect case data first, and then seek public security, With the assistance of transportation and other departments, it is possible to draw a mind map to track and locate high-risk infected groups, which leads to low efficiency of prevention and control work

[0017] 2. Insufficient application of spatio-temporal behavior data mining:

However, its anti-epidemic value has not been fully tapped

One of the main reasons is the lack of effective spatio-temporal behavior data mining analysis methods

[0019] 3. Lack of rapid, accurate and dynamic personal infection risk assessment methods and models:

[0020] How to combine the statistical analysis method focusing on individual risk factors and the complex network model method focusing on personnel relationship network to give full play to their respective advantages and adapt to the risk assessment of the new crown epidemic There is currently no mature research method

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