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_5
Snippet: 2) Choosing keywords To collect digital data from search engine queries or Twitter, the keywords that relate to influenza or MERS need to be determined first. This step is the most important step for the performance of disease prediction model. To choose the keywords, both laypersons' opinions and experts' opinion are taken into consideration, since search queries and social media data are generated by laypersons. In our previous works regarding .....
Document: 2) Choosing keywords To collect digital data from search engine queries or Twitter, the keywords that relate to influenza or MERS need to be determined first. This step is the most important step for the performance of disease prediction model. To choose the keywords, both laypersons' opinions and experts' opinion are taken into consideration, since search queries and social media data are generated by laypersons. In our previous works regarding influenza prediction, we conducted a survey by quota sampling based on sex and age to choose keywords [8, 9] . Moreover, we also included keywords that were chosen by physicians, such as fever, cough, and sore throat for influenza prediction, since these keywords are related to the definitions of ILI.
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