Your browser doesn't support javascript.
loading
A spatial model to jointly analyze self-reported survey data of COVID-19 symptoms and official COVID-19 incidence data.
Vranckx, Maren; Faes, Christel; Molenberghs, Geert; Hens, Niel; Beutels, Philippe; Van Damme, Pierre; Aerts, Jan; Petrof, Oana; Pepermans, Koen; Neyens, Thomas.
Afiliación
  • Vranckx M; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
  • Faes C; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
  • Molenberghs G; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
  • Hens N; L-BioStat, Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Leuven, Belgium.
  • Beutels P; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
  • Van Damme P; Center for Health Economics Research and Modeling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Aerts J; Center for Health Economics Research and Modeling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Petrof O; Center for Health Economics Research and Modeling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Pepermans K; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
  • Neyens T; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Biom J ; 65(1): e2100186, 2023 01.
Article en En | MEDLINE | ID: mdl-35818698
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Incidence_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biom J Año: 2023 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Incidence_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biom J Año: 2023 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Alemania