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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Detalles Bibliográficos
Autores principales: Lampos, Vasileios, Majumder, Maimuna S., Yom-Tov, Elad, Edelstein, Michael, Moura, Simon, Hamada, Yohhei, Rangaka, Molebogeng X., McKendry, Rachel A., Cox, Ingemar J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870878/
https://www.ncbi.nlm.nih.gov/pubmed/33558607
http://dx.doi.org/10.1038/s41746-021-00384-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870878/
https://www.ncbi.nlm.nih.gov/pubmed/33558607
http://dx.doi.org/10.1038/s41746-021-00384-w

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