An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data
Pattern Recognition Letters(2022)
摘要
•An effective natural language processing pipeline to identify news of a specific topic•A burst model to identify temporal spikes within news signals•Several integrated predictors from public data of weekly COVID-19 trends•A generalized Prophet model incorporating several signals to predict future weekly COVID-19 trends up to 2 weeks out
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关键词
Infodemiology,News mining,Word2Vec,Signal burst model,Google trends,Prophet model
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