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A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection.
Dogra, Prashant; Schiavone, Carmine; Wang, Zhihui; Ruiz-Ramírez, Javier; Caserta, Sergio; Staquicini, Daniela I; Markosian, Christopher; Wang, Jin; Sostman, H Dirk; Pasqualini, Renata; Arap, Wadih; Cristini, Vittorio.
Afiliación
  • Dogra P; Mathematics in Medicine Program, Department of Medicine, Houston Methodist Research Institute, Houston, Texas, USA.
  • Schiavone C; Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, USA.
  • Wang Z; Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Naples, Italy.
  • Ruiz-Ramírez J; Mathematics in Medicine Program, Department of Medicine, Houston Methodist Research Institute, Houston, Texas, USA.
  • Caserta S; Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, USA.
  • Staquicini DI; Neal Cancer Center, Houston Methodist Research Institute, Houston, Texas, USA.
  • Markosian C; Centro de Ciencias de la Salud, Universidad Autónoma de Aguascalientes, Aguascalientes, Mexico.
  • Wang J; Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Naples, Italy.
  • Sostman HD; CEINGE Advanced Biotechnologies, Naples, Italy.
  • Pasqualini R; Rutgers Cancer Institute of New Jersey, Newark, New Jersey, USA.
  • Arap W; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
  • Cristini V; Rutgers Cancer Institute of New Jersey, Newark, New Jersey, USA.
JCI Insight ; 8(13)2023 07 10.
Article en En | MEDLINE | ID: mdl-37227783
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article