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Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis.
Baxter, James; Langhorne, Sarah; Shi, Ting; Tully, Damien C; Villabona-Arenas, Ch Julián; Hué, Stéphane; Albert, Jan; Leigh Brown, Andrew; Atkins, Katherine E.
Afiliación
  • Baxter J; Usher Institute, The University of Edinburgh, Edinburgh, UK. Electronic address: james.baxter@ed.ac.uk.
  • Langhorne S; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Shi T; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Tully DC; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Villabona-Arenas CJ; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Hué S; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Albert J; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden.
  • Leigh Brown A; Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK.
  • Atkins KE; Usher Institute, The University of Edinburgh, Edinburgh, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene
Lancet Microbe ; 4(2): e102-e112, 2023 02.
Article en En | MEDLINE | ID: mdl-36642083
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Asunto principal: Infecciones por VIH / VIH-1 / Seropositividad para VIH / Fármacos Anti-VIH / Minorías Sexuales y de Género Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Female / Humans / Male Idioma: En Revista: Lancet Microbe Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Asunto principal: Infecciones por VIH / VIH-1 / Seropositividad para VIH / Fármacos Anti-VIH / Minorías Sexuales y de Género Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Female / Humans / Male Idioma: En Revista: Lancet Microbe Año: 2023 Tipo del documento: Article