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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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| Publié dans: | NPJ Digit Med |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2021
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| Sujets: | |
| Accès en ligne: | 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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