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Suspected epidemic infection person detection method based on gamma-suspected infection community model

A technology for personnel detection and epidemiology, which is applied in the field of detection of suspected epidemic infection personnel, can solve the problems of lack of time and location information coordination, increase in the discovery of new crown infections, and no display significance, so as to remove limitations and reduce the search for infections The effect of saving personnel time and calculation load

Pending Publication Date: 2021-11-12
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are many difficulties in finding people infected with the new crown. The new crown virus has a particularly strong infectious ability. It will be infected when coughing, sneezing, talking, or even standing close to it. Moreover, it will not immediately become ill after being infected with the new crown. There is a 14-day incubation period. During the incubation period, the new crown is still contagious, which undoubtedly makes it more difficult to find people infected with the new crown
However, there are limitations in the current existing algorithms, and the time and location information are not well coordinated. For the new crown, it is not meaningful to not match the time and location information at the same time.

Method used

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  • Suspected epidemic infection person detection method based on gamma-suspected infection community model
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  • Suspected epidemic infection person detection method based on gamma-suspected infection community model

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Embodiment 1

[0064] Embodiment 1: In this embodiment, a method for detecting persons with suspected epidemic infection based on the γ-suspected infection community model. Firstly, all the trajectory data are matched to the contact degree of the two trajectories, and then the maximum clique analysis on the graph is carried out through the contact degree data. The search of the present invention finds the infected groups suspected of the epidemic, so that the search for the suspected infected persons of the epidemic can be completed.

[0065] 1. Model design

[0066] In the present invention, a graph is represented as G(V,E). Among them, V is the set of all nodes in the graph, and E is the set of all edges. Usually, n and m are used to represent the number of points and edges in G, respectively, that is, n=|V|, m=|E|. For any two points u and v in graph G, a pair (u, v) can be used to represent an edge connecting point u and point v. For any point v, all the points connected to it can be ...

Embodiment 2

[0085] Embodiment 2: as Figure 4 Given γ=0.1 as shown, then the γ-suspected infected communities in the contact probability graph G' are the node set C 1 = {1, 2, 3}, C 2 = {2, 5}, C 3 = {3, 4}, C 4 = {3, 5}, C 5 = {4, 5}, C 6 = {5, 6}, C 7 = {6, 7, 8, 9}, a total of 7 γ-suspected infected communities.

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Abstract

The invention discloses a suspected epidemic infection person detection method based on a gamma-suspected infection community model. The method comprises the following steps: crawling travel track information of an infected person on a network; analyzing the travel trajectory data of the infected persons, matching the travel trajectory data of the persons in pairs to obtain a contact possibility numerical value of any two persons, and storing the contact possibility numerical value in a matching value file; reading data in the matching value file, and generating a contact probability graph, wherein the person IDs serve as nodes of the contact probability graph, and the contact possibility values of the two persons serve as weights for connecting the two node edges; and performing maximum group search on the contact probability graph to find maximum groups in the contact probability graph, and performing independent analysis on all the found maximum groups to find gamma-suspected infected communities on all the maximum groups. If a patient is detected in the gamma-suspected infection community, other people in the suspected infection community have extremely high infection possibility. According to the method, the personnel carrying the virus can be determined, and the workload of medical personnel is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of data mining, and specifically relates to a method for detecting persons infected with suspected epidemics based on a γ-suspected infection community model. Background technique [0002] One of the keys to the prevention and control of epidemics represented by the new crown is to find the infected. The earlier the infected are found, the more timely the epidemic can be controlled and the pressure on downstream medical treatment will be reduced. Therefore, carrying out active detection and epidemiological investigation to dig out potential asymptomatic infections or suspected cases plays an important role in effectively controlling the source of infection, reducing or eliminating the spread of pathogens, and preventing the spread of diseases among the population. [0003] However, there are many difficulties in finding people infected with the new crown. The new crown virus has a particularly strong infecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80G06F16/29G06F16/9537
CPCG16H50/80G06F16/29G06F16/9537
Inventor 范正青袁龙陈紫
Owner NANJING UNIV OF SCI & TECH