Introduction: Bladder infections are common, affecting millions each year, and are often recurrent problems.
Methods: We have developed a spatial mathematical framework consisting of a hybrid individual-based model to simulate these infections in order to understand more about the bacterial mechanisms and immune dynamics. We integrate a varying bacterial replication rate and model bacterial shedding as an immune mechanism.
Results: We investigate the effect that varying the initial bacterial load has on infection outcome, where we find that higher bacterial burden leads to poorer outcomes, but also find that only a single bacterium is needed to establish infection in some cases. We also simulate an immunocompromised environment, confirming the intuitive result that bacterial spread typically progresses at a higher rate.
Conclusions: With future model developments, this framework is capable of providing new clinical insight into bladder infections.
- Escherichia coli
ASJC Scopus subject areas
- Applied Mathematics
- Statistics and Probability