Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.

Dan, Shozen; Chen, Yu; Chen, Yining; Monod, Melodie; Jaeger, Veronika K; Bhatt, Samir; Karch, André; Ratmann, Oliver

Dan, Shozen; Chen, Yu; Chen, Yining; Monod, Melodie; Jaeger, Veronika K; Bhatt, Samir; Karch, André; Ratmann, Oliver.

Afiliação

Dan S; Department of Mathematics, Imperial College London, London, England, United Kingdom.
Chen Y; Department of Mathematics, Imperial College London, London, England, United Kingdom.
Chen Y; Department of Mathematics, Imperial College London, London, England, United Kingdom.
Monod M; Department of Mathematics, Imperial College London, London, England, United Kingdom.
Jaeger VK; Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Bhatt S; School of Public Health, Imperial College London, London, England, United Kingdom.
Karch A; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Ratmann O; Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.

PLoS Comput Biol ; 19(6): e1011191, 2023 Jun.

Article em En | MEDLINE | ID: mdl-37276210

Assuntos

COVID-19; Humanos; COVID-19/epidemiologia; Teorema de Bayes; SARS-CoV-2; Pandemias; Inquéritos e Questionários

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos

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