Communications Medicine (Feb 2023)

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

  • 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

DOI
https://doi.org/10.1038/s43856-023-00253-5
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 9

Abstract

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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.