An ensemble model based on early predictors to forecast COVID-19 health care demand in France | Zendy

Juliette Paireau | Zendy; Alessio Andronico | Zendy; Nathanaël Hozé | Zendy; Maylis Layan | Zendy; Pascal Crépey | Zendy; Alix Roumagnac | Zendy; Marc Lavielle | Zendy; PierreYves Boëlle | Zendy; Simon Cauchemez | Zendy

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An 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

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

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