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Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms
BACKGROUND: Short-term prediction of COVID-19 epidemics is crucial to decision making. We aimed to develop supervised machine-learning algorithms on multiple digital metrics including symptom search trends, population mobility, and vaccination coverage to predict local-level COVID-19 growth rates in...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509378/ https://www.ncbi.nlm.nih.gov/pubmed/36168444 http://dx.doi.org/10.1038/s43856-022-00184-7 |