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Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection.
Pearson, Jason; Wessler, Timothy; Chen, Alex; Boucher, Richard C; Freeman, Ronit; Lai, Samuel K; Pickles, Raymond; Forest, M Gregory.
Afiliação
  • Pearson J; Department of Mathematics, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA.
  • Wessler T; Department of Mathematics, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA.
  • Chen A; Department of Mathematics, California State University-Dominguez Hills, Carson, CA 90747, USA.
  • Boucher RC; Marsico Lung Institute, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA.
  • Freeman R; Department of Applied Physical Sciences, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA.
  • Lai SK; Department of Microbiology and Immunology, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA; UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA and North Carolina State University, Raleigh, NC 27606, USA; Divi
  • Pickles R; Marsico Lung Institute, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA; Department of Microbiology and Immunology, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA.
  • Forest MG; Department of Mathematics, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA; Department of Applied Physical Sciences, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA; UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hil
J Theor Biol ; 565: 111470, 2023 05 21.
Article em En | MEDLINE | ID: mdl-36965846
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos