Forecasting hospital-level COVID-19 admissions using real-time mobility data

Klein et al. use mobility data to forecast COVID-19 admissions for five Massachusetts hospitals. Combining aggregated mobile device data about users’ contact patterns, commuting volume, and mobility range with COVID hospitalizations and test-positivity data increases the lead-time of accurate predic...

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Detalles Bibliográficos

Principais autores:	Brennan Klein, Ana C. Zenteno, Daisha Joseph, Mohammadmehdi Zahedi, Michael Hu, Martin S. Copenhaver, Moritz U. G. Kraemer, Matteo Chinazzi, Michael Klompas, Alessandro Vespignani, Samuel V. Scarpino, Hojjat Salmasian
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2023-02-01
Series:	Communications Medicine
Acceso en liña:	https://doi.org/10.1038/s43856-023-00253-5
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