Slides: https://www.andreashandel.com/presentations/
2025-04-25
Virus load for different infections.
Uninfected cells˙U=−bUVInfected cells˙I=bUV−dII−kMMI−kTTIVirus˙V=pI−dVVMacrophages˙F=(s+gV)(M∗−M−αkMMI)−dMMT cells˙T=rTTVV+hV−dTT
With the right types of immune response terms in the models, one can capture patterns seen in the data.
Example of BioNTech/Pfizer COVID Vaccine
Claim: Knowing in more detail how dose impacts host response following vaccination might help optimize vaccines.
Uninfected cells˙U=−bUVInfected cells˙I=bUV−dIIDead cells˙D=dIIVirus˙V=pI1+sFF−(dVV+k′AA+b′U)VInnate response˙F=pF−dFF+gF(Fmax−F)VV+hVB cells˙B=FVFV+hFgBBAntibodies˙A=rAB−dAA−kAAV
Conceptual model suggests that protection (and morbidity) could be peaked.
See also: Rhodes et al 2016 Vaccine, Rhodes et al 2019 JTB
Data from a phase 2 clincial dose-finding study of a norovirus vaccine candidate. Work in progress.
For teaching (stable):
For research (WIP):
https://phdcomics.com/