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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xin, Dong, Yijia, Thompson, William David, Nair, Harish, Li, You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

Ejemplares similares