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Mathematical Modeling of Vaccines That Prevent SARS-CoV-2 Transmission.
Swan, David A; Goyal, Ashish; Bracis, Chloe; Moore, Mia; Krantz, Elizabeth; Brown, Elizabeth; Cardozo-Ojeda, Fabian; Reeves, Daniel B; Gao, Fei; Gilbert, Peter B; Corey, Lawrence; Cohen, Myron S; Janes, Holly; Dimitrov, Dobromir; Schiffer, Joshua T.
Afiliación
  • Swan DA; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Goyal A; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Bracis C; TIMC-IMAG/BCM, Université Grenoble Alpes, 38000 Grenoble, France.
  • Moore M; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Krantz E; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Brown E; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Cardozo-Ojeda F; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Reeves DB; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Gao F; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Gilbert PB; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Corey L; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Cohen MS; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Janes H; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Dimitrov D; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Schiffer JT; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Viruses ; 13(10)2021 09 24.
Article en En | MEDLINE | ID: mdl-34696352
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Viruses Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Viruses Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos