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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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| Publicado no: | NPJ Digit Med |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | 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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