Author: Seo, Dong-Woo; Shin, Soo-Yong
Title: Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks Document date: 2017_10_31
ID: jx8wulcg_3
Snippet: To implement a prediction model for the digital surveillance system, the statistics of an infectious disease and digital data, such as search engine queries or social media data, should be collected. Disease statistics are used as target data, and digital data is used as input for the prediction model. 1) Collection of disease statistics ILI data in Korea can be gathered from Korea Centers for Disease Control and Prevention (KCDC) [12] . Since th.....
Document: To implement a prediction model for the digital surveillance system, the statistics of an infectious disease and digital data, such as search engine queries or social media data, should be collected. Disease statistics are used as target data, and digital data is used as input for the prediction model. 1) Collection of disease statistics ILI data in Korea can be gathered from Korea Centers for Disease Control and Prevention (KCDC) [12] . Since the ILI reports of the KCDC are published in word processor formats, such as HWP files in Korean and DOC files in English, the data should be manually curated. Figure 1 shows an example ILI report published by the KCDC. The ratio of ILI in week 28 was 6.0.
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