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An ensemble model based on early predictors to forecast COVID-19 health care demand in France.
Paireau, Juliette; Andronico, Alessio; Hozé, Nathanaël; Layan, Maylis; Crépey, Pascal; Roumagnac, Alix; Lavielle, Marc; Boëlle, Pierre-Yves; Cauchemez, Simon.
Afiliação
  • Paireau J; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, 75015 Paris, France.
  • Andronico A; Direction des Maladies Infectieuses, Santé publique France, 94415 Saint Maurice, France.
  • Hozé N; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, 75015 Paris, France.
  • Layan M; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, 75015 Paris, France.
  • Crépey P; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, 75015 Paris, France.
  • Roumagnac A; Arènes-UMR 6051, RSMS-U 1309, Ecole des Hautes Etudes en Santé Publique, INSERM, CNRS, Université de Rennes, 35043 Rennes, France.
  • Lavielle M; Predict Services, 34170 Castelnau-le-Lez, France.
  • Boëlle PY; INRIA, 91120 Palaiseau, France.
  • Cauchemez S; Centre de Mathématiques Appliquées, Ecole Polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau, France.
Proc Natl Acad Sci U S A ; 119(18): e2103302119, 2022 05 03.
Article em En | MEDLINE | ID: mdl-35476520
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França