Lasri Doukkali, A;
Lorenzi, T;
Parcell, BJ;
Rohn, JL;
Bowness, R;
(2023)
A hybrid individual-based mathematical model to study bladder infections.
Frontiers in Applied Mathematics and Statistics
, 9
, Article 1090334. 10.3389/fams.2023.1090334.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | A hybrid individual-based mathematical model to study bladder infections |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fams.2023.1090334 |
| Publisher version: | https://doi.org/10.3389/fams.2023.1090334 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Mathematical, model, individual-based, simulation, bladder, infection, Escherichia coli |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Renal Medicine |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10167982 |
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