Your browser doesn't support javascript.
loading
Persistent symptoms after the first wave of COVID-19 in relation to SARS-CoV-2 serology and experience of acute symptoms: A nested survey in a population-based cohort.
Robineau, Olivier; Wiernik, Emmanuel; Lemogne, Cédric; de Lamballerie, Xavier; Ninove, Laetitia; Blanché, Hélène; Deleuze, Jean-François; Ribet, Céline; Kab, Sofiane; Goldberg, Marcel; Severi, Gianluca; Touvier, Mathilde; Zins, Marie; Carrat, Fabrice.
Afiliación
  • Robineau O; Sorbonne Université, Inserm, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
  • Wiernik E; EA2694, University Lille, Centre Hospitalier de Tourcoing, Centre hospitalier Gustave Dron, Rue du président René Coty, Tourcoing 59200, France.
  • Lemogne C; Population-based epidemiological cohorts. UMS 11, Paris Saclay University, Versailles St Quentin University, Université de Paris, INSERM, Villejuif, France.
  • de Lamballerie X; INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), Université de Paris, AP-HP, Hôpital Hôtel-Dieu, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte, UMR_S1266, Paris, France.
  • Ninove L; Unité des Virus Emergents, UVE: Aix Marseille University, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
  • Blanché H; Unité des Virus Emergents, UVE: Aix Marseille University, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
  • Deleuze JF; Fondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France.
  • Ribet C; Fondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France.
  • Kab S; Population-based epidemiological cohorts. UMS 11, Paris Saclay University, Versailles St Quentin University, Université de Paris, INSERM, Villejuif, France.
  • Goldberg M; Population-based epidemiological cohorts. UMS 11, Paris Saclay University, Versailles St Quentin University, Université de Paris, INSERM, Villejuif, France.
  • Severi G; Population-based epidemiological cohorts. UMS 11, Paris Saclay University, Versailles St Quentin University, Université de Paris, INSERM, Villejuif, France.
  • Touvier M; CESP UMR1018, Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
  • Zins M; Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Italy.
  • Carrat F; Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France.
Lancet Reg Health Eur ; 17: 100363, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35434687

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Lancet Reg Health Eur Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Lancet Reg Health Eur Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido