Cargando…
Mathematical Modelling for Optimal Vaccine Dose Finding: Maximising Efficacy and Minimising Toxicity
Vaccination is a key tool to reduce global disease burden. Vaccine dose can affect vaccine efficacy and toxicity. Given the expense of developing vaccines, optimising vaccine dose is essential. Mathematical modelling has been suggested as an approach for optimising vaccine dose by quantitatively est...
Autores principales: | Benest, John, Rhodes, Sophie, Evans, Thomas G., White, Richard G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144167/ https://www.ncbi.nlm.nih.gov/pubmed/35632511 http://dx.doi.org/10.3390/vaccines10050756 |
Ejemplares similares
-
Optimising Vaccine Dose in Inoculation against SARS-CoV-2, a Multi-Factor Optimisation Modelling Study to Maximise Vaccine Safety and Efficacy
por: Benest, John, et al.
Publicado: (2021) -
The Correlated Beta Dose Optimisation Approach: Optimal Vaccine Dosing Using Mathematical Modelling and Adaptive Trial Design
por: Benest, John, et al.
Publicado: (2022) -
Identifying COVID-19 optimal vaccine dose using mathematical immunostimulation/immunodynamic modelling
por: Rhodes, Sophie, et al.
Publicado: (2022) -
Immunologic Dose-Response to Adenovirus-Vectored Vaccines in Animals and Humans: A Systematic Review of Dose-Response Studies of Replication Incompetent Adenoviral Vaccine Vectors when Given via an Intramuscular or Subcutaneous Route
por: Afrough, Sara, et al.
Publicado: (2020) -
Response Type and Host Species may be Sufficient to Predict Dose-Response Curve Shape for Adenoviral Vector Vaccines
por: Benest, John, et al.
Publicado: (2020)