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

Autor: 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
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Communications Medicine, Vol 3, Iss 1, Pp 1-9 (2023)
Druh dokumentu: article
ISSN: 2730-664X
DOI: 10.1038/s43856-023-00253-5
Popis: 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 predictions for individual hospitals.
Databáze: Directory of Open Access Journals