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Updating age-specific contact structures to match evolving demography in a dynamic mathematical model of tuberculosis vaccination.
Weerasuriya, Chathika Krishan; Harris, Rebecca Claire; McQuaid, Christopher Finn; Gomez, Gabriela B; White, Richard G.
Afiliación
  • Weerasuriya CK; TB Modelling Group, TB Centre and Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Harris RC; TB Modelling Group, TB Centre and Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • McQuaid CF; TB Modelling Group, TB Centre and Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Gomez GB; Department of Global Health & Development, Faculty of Public Health & Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • White RG; TB Modelling Group, TB Centre and Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
PLoS Comput Biol ; 18(4): e1010002, 2022 04.
Article en En | MEDLINE | ID: mdl-35452459
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tuberculosis Tipo de estudio: Incidence_studies / Prognostic_studies Límite: Adult / Aged / Child / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tuberculosis Tipo de estudio: Incidence_studies / Prognostic_studies Límite: Adult / Aged / Child / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido