For every vaccine, the amount of the antigens of the pathogen one wants to vaccinate against is an important part. This amount that is currently not systematically determined but is instead based on sparse clinical data. We recently developed a framework that combines this data with mathematical models to better determine the vaccine dose that would lead to optimal outcomes. The goal of this project is to further advance this framework by combining data and computer models to determine what the impact of vaccine dose is on outcomes such as side effects and immune protection. This information will be useful for improved design of future vaccines. This project is quantitative. We will make use of the R language for all analyses.
Host Laboratory: Andreas Handel
Type of project: Quantitative/Computer-based