Using a population-based Kalman estimator to model the COVID-19 epidemic in France: estimating associations between disease transmission and non-pharmaceutical interventions.

Collin, Annabelle; Hejblum, Boris P; Vignals, Carole; Lehot, Laurent; Thiébaut, Rodolphe; Moireau, Philippe; Prague, Mélanie

Collin, Annabelle; Hejblum, Boris P; Vignals, Carole; Lehot, Laurent; Thiébaut, Rodolphe; Moireau, Philippe; Prague, Mélanie.

Afiliación

Collin A; Inria, Inria Bordeaux - Sud-Ouest, Bordeaux INP, IMB UMR 5251, Université Bordeaux, Talence, France.
Hejblum BP; Inria, Inria Bordeaux - Sud-Ouest, Talence, Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, SISTM Team, UMR 1219, F-33000 Bordeaux, France.
Vignals C; Vaccine Research Institute, F-94000 Créteil, France.
Lehot L; Inria, Inria Bordeaux - Sud-Ouest, Talence, Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, SISTM Team, UMR 1219, F-33000 Bordeaux, France.
Thiébaut R; Vaccine Research Institute, F-94000 Créteil, France.
Moireau P; CHU Pellegrin, F-33000 Bordeaux, France.
Prague M; Inria, Inria Bordeaux - Sud-Ouest, Talence, Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, SISTM Team, UMR 1219, F-33000 Bordeaux, France.

Int J Biostat ; 2023 Jan 06.

Article en En | MEDLINE | ID: mdl-36607837

Palabras clave

COVID-19; Kalman filters; epidemic modeling; non-pharmaceutical interventions; population estimation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Int J Biostat Año: 2023 Tipo del documento: Article País de afiliación: Francia

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