Respiratory infectious disease infection tree reconstruction method based on mobile phone signaling data

Abstract

The invention discloses a respiratory infectious disease infection tree reconstruction method based on mobile phone signaling data. The method comprises the following steps: S1, judging a potential infection relationship between cases; S2, analyzing a space-time co-occurrence relationship between cases; S3, performing co-occurrence network construction and community division; S4, judging a case infection relationship in the community; and S5, determining and visualizing an infection place. According to the invention, rapid judgment of a case infection relationship and determination and visualization of an infection position can be realized during outbreak of respiratory infectious diseases, and the limitations that the traditional epidemiological investigation is time-consuming and labor-consuming and the result is not clear and visual enough are overcome; the method can quickly reconstruct infection tree between cases, determine the spatial position of infection, and display the spatial position on a map in a visual manner, and is beneficial to mastering the disease propagation process in time, improving the virus traceability and blocking the propagation efficiency.

Description

technical field [0001] The invention relates to an infection tree reconstruction method, in particular to a respiratory infectious disease infection tree reconstruction method based on mobile phone signaling data. Background technique [0002] As one of the most common epidemics, respiratory infectious diseases can easily spread from person to person, forming a large outbreak. It is of great significance to understand the infection relationship of respiratory infectious diseases between cases and determine the spatial location of the infection for grasping the development of the epidemic and blocking the spread of the virus. At present, the determination of the infection relationship of cases and the location of infection mainly relies on epidemiological investigations, that is, by inquiring about cases, understanding their recent activity trajectories and close contacts, and then identifying potential infectious persons and infected persons. This method is time-consuming a...

AI Technical Summary

Problems solved by technology

Although these methods apply mobile phone signaling traces to the prevention and control of infectious diseases, when analyzing the case traces, on the one hand, they only consider the possible crowd infection caused by environmental factors, and ignore the spread of the disease between people. Reflects the transmission process of the disease between cases; on the other hand, the tracking of the source of infection and the high probability of infection is only based on the similarity of the trajectory of the infected person, without considering the transmission mechanism of the epidemic, and the results may be biased

[0004] In view of the above problems, it is urgent to propose a method for reconstructing the infection tree of respiratory infectious diseases based on mobile phone signaling data, which can solve the problems of time-consuming and labor-intensive traditional epidemiological investigations, and the results are not clear and intuitive.

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