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Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies.
Anderson, Thayer L; Nande, Anjalika; Merenstein, Carter; Raynor, Brinkley; Oommen, Anisha; Kelly, Brendan J; Levy, Michael Z; Hill, Alison L.
Affiliation
  • Anderson TL; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America.
  • Nande A; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America.
  • Merenstein C; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
  • Raynor B; Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
  • Oommen A; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States of America.
  • Kelly BJ; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America; Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of Ameri
  • Levy MZ; Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
  • Hill AL; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States of America. Electronic address: alhill@jhmi.edu.
Epidemics ; 44: 100710, 2023 09.
Article in En | MEDLINE | ID: mdl-37556994
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2023 Document type: Article Affiliation country: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2023 Document type: Article Affiliation country: Estados Unidos