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An open source tool to infer epidemiological and immunological dynamics from serological data: serosolver.
Hay, James A; Minter, Amanda; Ainslie, Kylie E C; Lessler, Justin; Yang, Bingyi; Cummings, Derek A T; Kucharski, Adam J; Riley, Steven.
Afiliação
  • Hay JA; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Minter A; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Ainslie KEC; Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Lessler J; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Yang B; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Cummings DAT; Department of Biology, University of Florida, Gainesville, Florida, United States of America.
  • Kucharski AJ; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
  • Riley S; Department of Biology, University of Florida, Gainesville, Florida, United States of America.
PLoS Comput Biol ; 16(5): e1007840, 2020 05.
Article em En | MEDLINE | ID: mdl-32365062
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Anticorpos Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Anticorpos Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido