Prediction of immune reactions after vaccination with PKPD modeling as a tool for pandemic readiness
- Funded by Netherlands Organisation for Health Research and Development (ZonMW)
- Total publications:0 publications
Grant number: 1.07101E+13
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Key facts
Disease
N/A
Start & end year
20242026Known Financial Commitments (USD)
$0Funder
Netherlands Organisation for Health Research and Development (ZonMW)Principal Investigator
T PreijersResearch Location
NetherlandsLead Research Institution
Erasmus Medisch CentrumResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Immunity
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Individuals respond differently to (booster) vaccinations due to differences in their characteristics (for example, age, gender, ethnicity, health status, additional diseases, medication simultaneously used, etc.). These characteristics (covariaat) can be used to predict the immune response of the individual and to determine whether someone will respond. In order to predict the individual response after vaccination, booster vaccine or even SARS-COV-2 infection, pharmacokinetics and pharmacodynamics must be determined. With a mathematical model describing the PK PD, the relationship between the Covariaat and the associated immune response can be assessed.