Presentation Information
[SS07-01]Bifurcation analysis for a data-validated infection model
*Kaifa Wang1 (1. Southwest University (China))
Keywords:
Host pathogen interaction
Enterococcus faecium (E. faecium) is a multidrug-resistant bacterium that causes a large number of hospital-acquired infections. In this study, we developed a dynamic model of host-pathogen interactions based on experimental data regarding bacterial load, resting and activated macrophages, and neutrophils. Through theoretical analysis, we find that the system can have a maximum of four positive equilibrium points when the basic reproduction number of bacteria is less than one, and up to five when the basic reproduction number of bacteria is larger than one. Theoretical analysis reveal that the model experiences a codimension-3 Bogdanov-Takens bifurcation, the coexistence of five positive equilibria, the coexistence of four positive equilibria, two limit cycles, the coexistence of three stable states including two stable equilibria and one stable limit cycle, or three stable equilibria. Especially, our study indicates that the bacterial growth rate can lead to multiperiodicity and multistability, which can be understood as the varying amplitudes of oscillation in reaction to different concentrations of bacteria due to the heterogeneity of innate immune cells. These insights enhance our comprehension of E. faecium infection dynamics and may provide some potential therapeutic targets.