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.

Afiliación

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 en En | MEDLINE | ID: mdl-37276210

Asunto(s)

COVID-19; Humanos; COVID-19/epidemiología; Teorema de Bayes; SARS-CoV-2; Pandemias; Encuestas y Cuestionarios

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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