Tracking COVID-19 using online search

Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in multiple countries. We first develop unsupervised mo...

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Bibliografiske detaljer
Udgivet i:NPJ Digit Med
Main Authors: Lampos, Vasileios, Majumder, Maimuna S., Yom-Tov, Elad, Edelstein, Michael, Moura, Simon, Hamada, Yohhei, Rangaka, Molebogeng X., McKendry, Rachel A., Cox, Ingemar J.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2021
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7870878/
https://ncbi.nlm.nih.gov/pubmed/33558607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00384-w
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