A hybrid individual-based mathematical model to study bladder infections
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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.
Lasri Doukkali , A , Lorenzi , T , Parcell , B J , Rohn , J L & Bowness , R 2023 , ' A hybrid individual-based mathematical model to study bladder infections ' , Frontiers in Applied Mathematics and Statistics , vol. 9 , 1090334 . https://doi.org/10.3389/fams.2023.1090334
Frontiers in Applied Mathematics and Statistics
Copyright © 2023 Lasri Doukkali, Lorenzi, Parcell, Rohn and Bowness. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.