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Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data.
Franco, Nicolas; Coletti, Pietro; Willem, Lander; Angeli, Leonardo; Lajot, Adrien; Abrams, Steven; Beutels, Philippe; Faes, Christel; Hens, Niel.
Afiliação
  • Franco N; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Coletti P; Namur Institute for Complex Systems (naXys) and Department of Mathematics, University of Namur, Namur, Belgium.
  • Willem L; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Angeli L; Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Lajot A; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Abrams S; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
  • Beutels P; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Faes C; Global Health Institute (GHI), Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium.
  • Hens N; Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
PLoS Comput Biol ; 18(3): e1009965, 2022 03.
Article em En | MEDLINE | ID: mdl-35353810
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Adult / Aged / Child / Child, preschool / Humans País/Região como assunto: Europa Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Adult / Aged / Child / Child, preschool / Humans País/Região como assunto: Europa Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica