Respiratory infectious disease intimate contact person identification method based on mobile phone data
The invention discloses a respiratory infectious disease intimate contact person identification method based on mobile phone data. The method comprises the following steps: extracting a movement trackand a call relationship according to mobile phone signaling data and mobile phone historical bill da...
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| creator | LIU YAXI ZHOU CHENGHU CHEN JIE PEI TAO WU MINGBAI GUO SIHUI CHEN XIAO HUANG QIANG SHU HUA SONG CI WANG XI |
| description | The invention discloses a respiratory infectious disease intimate contact person identification method based on mobile phone data. The method comprises the following steps: extracting a movement trackand a call relationship according to mobile phone signaling data and mobile phone historical bill data; analyzing a space-time co-occurrence relationship, and judging a potential intimate contact person; extracting space-time co-occurrence and call network characteristics between the potential intimate contact person and the definite case user; constructing a model and optimizing the model; and inputting the space-time co-occurrence and the call network characteristics into the model, and judging and outputting a close contact person and a contact type. The problems that a traditional epidemiological investigation method consumes time and labor and information acquisition is incomplete are solved; the risk that investigators are infected is avoided; the identification result is faster, more accurate and more comp |
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The method comprises the following steps: extracting a movement trackand a call relationship according to mobile phone signaling data and mobile phone historical bill data; analyzing a space-time co-occurrence relationship, and judging a potential intimate contact person; extracting space-time co-occurrence and call network characteristics between the potential intimate contact person and the definite case user; constructing a model and optimizing the model; and inputting the space-time co-occurrence and the call network characteristics into the model, and judging and outputting a close contact person and a contact type. 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The method comprises the following steps: extracting a movement trackand a call relationship according to mobile phone signaling data and mobile phone historical bill data; analyzing a space-time co-occurrence relationship, and judging a potential intimate contact person; extracting space-time co-occurrence and call network characteristics between the potential intimate contact person and the definite case user; constructing a model and optimizing the model; and inputting the space-time co-occurrence and the call network characteristics into the model, and judging and outputting a close contact person and a contact type. The problems that a traditional epidemiological investigation method consumes time and labor and information acquisition is incomplete are solved; the risk that investigators are infected is avoided; the identification result is faster, more accurate and more comp</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Respiratory infectious disease intimate contact person identification method based on mobile phone data |
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