Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study
JOURNAL OF MEDICAL INTERNET RESEARCH（2024）
Key words
COVID-19,confirmed case prediction,search engine queries,query expansion,word embedding,public health,case prediction,South Korea,search engine,infodemiology,infodemiology study,policy,lifestyle,machine learning,machine learning techniques,utilization,temporal variation,novel framework,temporal,web-based search,temporal semantics,prediction model,model
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