Abstract
Axiomatic modeling is ensued to provide a family of models that describe bacterial growth in the presence of phagocytes, or, more generally, prey dynamics in a large spatially homogenous eco-system. A classification of the possible bifurcation diagrams that arise in such models is presented. It is shown that other commonly used models that do not belong to this class may miss important features that are associated with the limited growth curve of the bacteria (prey) and the saturation associated with the phagocytosis (predator kill) term. Notably, these features appear at relatively low concentrations, much below the saturation range. Finally, combining this model with a model of neutrophil dynamics in the blood after chemotherapy treatments we obtain new insights regarding the development of infections under neutropenic conditions.
Original language | English |
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Pages (from-to) | 475-502 |
Number of pages | 28 |
Journal | Mathematical Biosciences and Engineering |
Volume | 8 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2011 |
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Applied Mathematics
- General Agricultural and Biological Sciences
- Modelling and Simulation