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Using real-time data to guide decision-making during an influenza pandemic: A modelling analysis.
Haw, David J; Biggerstaff, Matthew; Prasad, Pragati; Walker, Joseph; Grenfell, Bryan; Arinaminpathy, Nimalan.
  • Haw DJ; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, United Kingdom.
  • Biggerstaff M; Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Prasad P; Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Walker J; Department of Epidemiology of Microbial Diseases, Yale University, New Haven, Connecticut, United States of America.
  • Grenfell B; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
  • Arinaminpathy N; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, United Kingdom.
PLoS Comput Biol ; 19(2): e1010893, 2023 02.
Article en En | MEDLINE | ID: mdl-36848387
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Gripe Humana / Subtipo H1N1 del Virus de la Influenza A Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Gripe Humana / Subtipo H1N1 del Virus de la Influenza A Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article