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How direct competition shapes coexistence and vaccine effects in multi-strain pathogen systems.
Gjini, Erida; Valente, Carina; Sá-Leão, Raquel; Gomes, M Gabriela M.
Afiliação
  • Gjini E; Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal. Electronic address: egjini@igc.gulbenkian.pt.
  • Valente C; Laboratory of Molecular Microbiology of Human Pathogens, Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal.
  • Sá-Leão R; Laboratory of Molecular Microbiology of Human Pathogens, Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal.
  • Gomes MG; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade de Porto, Portugal; Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil; Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
J Theor Biol ; 388: 50-60, 2016 Jan 07.
Article em En | MEDLINE | ID: mdl-26471070
ABSTRACT
We describe an integrated modeling framework for understanding strain coexistence in polymorphic pathogen systems. Previous studies have debated the utility of neutral formulations and focused on cross-immunity between strains as a major stabilizing mechanism. Here we convey that direct competition for colonization mediates stable coexistence only when competitive abilities amongst pathogen clones satisfy certain pairwise asymmetries. We illustrate our ideas with nested SIS models of single and dual colonization, applied to polymorphic pneumococcal bacteria. By fitting the models to cross-sectional prevalence data from Portugal (before and after the introduction of a seven-valent pneumococcal conjugate vaccine), we are able to not only statistically compare neutral and non-neutral epidemiological formulations, but also estimate vaccine efficacy, transmission and competition parameters simultaneously. Our study highlights that the response of polymorphic pathogen populations to interventions holds crucial information about strain interactions, which can be extracted by suitable nested modeling.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Pneumocócicas / Streptococcus pneumoniae / Algoritmos / Vacinas Pneumocócicas / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Pneumocócicas / Streptococcus pneumoniae / Algoritmos / Vacinas Pneumocócicas / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2016 Tipo de documento: Article