### Modeling inoculum dose dependent patterns of acute virus infections

- Series
- Mathematical Biology Seminar
- Time
- Monday, February 10, 2014 - 11:00 for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Professor Andeas Handel – Department of Epidemiology and Biostatistics, College of Public Health, UGA – andreas.handel@gmail.com

Inoculum dose, i.e. the number of pathogens at the beginning of an infection, often affects key aspects of pathogen
and immune response dynamics. These in turn determine clinically relevant outcomes, such as morbidity and mortality. Despite the general recognition that inoculum dose is an important component of infection outcomes, we
currently do not understand its impact in much detail. This study is intended to start filling this knowledge gap
by analyzing inoculum dependent patterns of viral load dynamics in acute infections. Using experimental data
for adenovirus and infectious bronchitis virus infections as examples, we demonstrate inoculum dose dependent
patterns of virus dynamics. We analyze the data with the help of mathematical models to investigate what mechanisms can reproduce the patterns observed in experimental data. We find that models including components of
both the innate and adaptive immune response are needed to reproduce the patterns found in the data. We further
analyze which types of innate or adaptive immune response models agree with observed data. One interesting
finding is that only models for the adaptive immune response that contain growth terms partially independent
of viral load can properly reproduce observed patterns. This agrees with the idea that an antigen-independent,
programmed response is part of the adaptive response. Our analysis provides useful insights into the types of
model structures that are required to properly reproduce observed virus dynamics for varying inoculum doses.