Identifying COVID-19 optimal vaccine dose using mathematical immunostimulation/immunodynamic modelli...
Identifying COVID-19 optimal vaccine dose using mathematical immunostimulation/immunodynamic modelling
About this item
Full title
Author / Creator
Publisher
Netherlands: Elsevier Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Netherlands: Elsevier Ltd
Subjects
More information
Scope and Contents
Contents
Highlights•Due to time constraints, COVID-19 vaccine doses may not have been thoroughly investigated. •Using mathematical models similar to those regularly used in drug development could aid in identifying optimal COVID-19 vaccine dose. •We applied mathematical models to published COVID-19 vaccine dose–response data and predicted optimal vaccine do...
Alternative Titles
Full title
Identifying COVID-19 optimal vaccine dose using mathematical immunostimulation/immunodynamic modelling
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9574467
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9574467
Other Identifiers
ISSN
0264-410X
E-ISSN
1873-2518
DOI
10.1016/j.vaccine.2022.10.012
