Analysing pneumococcal invasiveness using Bayesian models of pathogen progression rates.

Løchen, Alessandra; Truscott, James E; Croucher, Nicholas J

Løchen, Alessandra; Truscott, James E; Croucher, Nicholas J.

Afiliação

Løchen A; Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.
Truscott JE; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, White City Campus, Imperial College London, London, United Kingdom.
Croucher NJ; Department of Infectious Disease Epidemiology, School of Public Health, St. Mary's Campus, Imperial College London, London, United Kingdom.

PLoS Comput Biol ; 18(2): e1009389, 2022 02.

Article em En | MEDLINE | ID: mdl-35176026

Assuntos

Infecções Pneumocócicas; Streptococcus pneumoniae; Teorema de Bayes; Portador Sadio/microbiologia; Humanos; Infecções Pneumocócicas/epidemiologia; Infecções Pneumocócicas/microbiologia; Vacinas Pneumocócicas; Sorogrupo; Streptococcus pneumoniae/genética

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Pneumocócicas / Streptococcus pneumoniae Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2022 Tipo de documento: Article

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