APPARATUS AND METHOD FOR ESTIMATION OF DISEASE TRANSMISSION SITUATION USING SOCIAL NETWORK SERVICE DATA

摘要

When predicting a disease transmission situation, doctor/patient percentage data for a predetermined disease is collected. The doctor/patient percentage data for the predetermined disease is collected and stored. An original SNS data is collected and stored. An effective SNS data including at least one among predetermined standard words associated with the disease is extracted from the stored SNS data. Markers are determined from the words included in the effective SNS data, based on the correlation between frequency in use of each word included in the effective SNS data and the doctor/patient percentage data. A rate of use of the markers in the stored SNS data is calculated. A disease transmission prediction value corresponding to a predicted target date is calculated, based on the rate of use of the markers and the doctor/patient percentage data. [Reference numerals] (S110) Collect SNS data and disease statistics data; (S120) Extract effective SNS data from the SNS data; (S130) Select markers for disease transmission prediction analysis, based on the effective SNS data; (S140) Calculate the rate of use of the markers in the SNS data and perform linear regression analysis of the disease statistics data; (S150) Obtain a disease transmission prediction value; (S160) Provide disease transmission information