Open AccessAn ensemble model based on early predictors to forecast COVID-19 health care demand in France
Author(s) -
Juliette Paireau,
Alessio Andronico,
Nathanaël Hozé,
Maylis Layan,
Pascal Crépey,
Alix Roumagnac,
Marc Lavielle,
PierreYves Boëlle,
Simon Cauchemez
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2103302119
Subject(s) - benchmarking , covid-19 , metric (unit) , ensemble forecasting , pandemic , health care , epidemiology , econometrics , computer science , statistics , actuarial science , operations research , medicine , business , economics , machine learning , operations management , mathematics , virology , outbreak , marketing , economic growth , disease , infectious disease (medical specialty) , pathology