A data processing method and electronic device

Abstract

The present invention provides a data processing method and electronic equipment. The method includes: obtaining an input identification set, the identification set includes at least one target identification code, at least one target identification code is used to indicate the identity of the corresponding user; Contact spatio-temporal data of at least one target identification code, wherein the spatio-temporal database includes a plurality of spatio-temporal grids, and the spatio-temporal grids include spatio-temporal trajectory data of users with the identification code in the first time period in the first geographical area; for the received Contact the spatio-temporal data for processing, and obtain the processing results used to assist in reflecting the state of disease transmission; output the processing results. The method of the invention can effectively improve the investigation and analysis efficiency of epidemic patients.

Description

technical field [0001] Embodiments of the present invention relate to the field of smart devices, in particular to a data processing method and electronic devices. Background technique [0002] In the process of epidemic prevention and control, epidemiological investigations are often required, and the following analysis results are obtained: [0003] (1) Analyze early patient trajectories to identify areas of initial outbreaks; [0004] (2) Analyze the activity trajectory of historical patients and find out high-risk transmission places; [0005] (3) Find out the contact infection route of new patients, including upstream spreaders, time and place of infection; [0006] (4) Find out the close contacts of patients; [0007] The above analysis method is also applicable to the analysis of other epidemics with close contact as the main transmission route. [0008] At present, traditional epidemiological investigations often rely on medical workers or CDC personnel to inquir...

AI Technical Summary

Problems solved by technology

The operator's own analysis platform is only for its own data, lacking a platform for integrating and analyzing the data of various operators

Moreover, most of the analysis systems of operators are trajectory display platforms, which lack special analysis capabilities for group contact time and space for epidemic spread analysis;

[0012] (2) The number trajectory data is generated based on number signaling, with a large amount of data and a lot of redundant information, which requires high data storage and calculation

If the time-space relationship of the group number is directly calculated in a long period of time, it will consume a lot of server resources and running time, and it is difficult to meet the requirements of epidemic prevention and control in terms of economy and timeliness;

[0013] (3) There is a lack of methods and systems for directly calculating patient trajectories according to the needs of epidemic transmission analysis, and it is impossible to quickly obtain information on the time and space of epidemic transmission, transmission chains, close contacts, etc.

A lot of analysis work is formed by multiple analysis scripts and manual series arrangement. The analysis efficiency is poor, the accuracy is low and information is easy to be missed, and it is difficult to meet the daily needs of prevention and control work;

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