A hybrid individual-based mathematical model to study bladder infections
IntroductionBladder infections are common, affecting millions each year, and are often recurrent problems.MethodsWe 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 an...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-02-01
|
| Series: | Frontiers in Applied Mathematics and Statistics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fams.2023.1090334/full |
| _version_ | 1811173242059096064 |
|---|---|
| author | Anas Lasri Doukkali Tommaso Lorenzi Benjamin J. Parcell Jennifer L. Rohn Ruth Bowness |
| author_facet | Anas Lasri Doukkali Tommaso Lorenzi Benjamin J. Parcell Jennifer L. Rohn Ruth Bowness |
| author_sort | Anas Lasri Doukkali |
| collection | DOAJ |
| description | IntroductionBladder infections are common, affecting millions each year, and are often recurrent problems.MethodsWe 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.ResultsWe 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.ConclusionsWith future model developments, this framework is capable of providing new clinical insight into bladder infections. |
| first_indexed | 2024-04-10T17:43:46Z |
| format | Article |
| id | doaj.art-ed449a51b016442096fe72abd9b7da54 |
| institution | Directory Open Access Journal |
| issn | 2297-4687 |
| language | English |
| last_indexed | 2024-04-10T17:43:46Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Applied Mathematics and Statistics |
| spelling | doaj.art-ed449a51b016442096fe72abd9b7da542023-02-03T06:42:06ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872023-02-01910.3389/fams.2023.10903341090334A hybrid individual-based mathematical model to study bladder infectionsAnas Lasri Doukkali0Tommaso Lorenzi1Benjamin J. Parcell2Jennifer L. Rohn3Ruth Bowness4Schools of Medicine and Mathematics and Statistics, University of St Andrews, St Andrews, United KingdomDepartment of Mathematical Sciences, Politecnico di Torino, Torino, ItalyMedical Microbiology, NHS Tayside, Ninewells Hospital and Medical School, Dundee, United KingdomDivision of Medicine, Department of Renal Medicine, Centre for Urological Biology, University College London, London, United KingdomDepartment of Mathematical Sciences, Claverton Down, University of Bath, Bath, United KingdomIntroductionBladder infections are common, affecting millions each year, and are often recurrent problems.MethodsWe 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.ResultsWe 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.ConclusionsWith future model developments, this framework is capable of providing new clinical insight into bladder infections.https://www.frontiersin.org/articles/10.3389/fams.2023.1090334/fullmathematicalmodelindividual-basedsimulationbladderinfection |
| spellingShingle | Anas Lasri Doukkali Tommaso Lorenzi Benjamin J. Parcell Jennifer L. Rohn Ruth Bowness A hybrid individual-based mathematical model to study bladder infections Frontiers in Applied Mathematics and Statistics mathematical model individual-based simulation bladder infection |
| title | A hybrid individual-based mathematical model to study bladder infections |
| title_full | A hybrid individual-based mathematical model to study bladder infections |
| title_fullStr | A hybrid individual-based mathematical model to study bladder infections |
| title_full_unstemmed | A hybrid individual-based mathematical model to study bladder infections |
| title_short | A hybrid individual-based mathematical model to study bladder infections |
| title_sort | hybrid individual based mathematical model to study bladder infections |
| topic | mathematical model individual-based simulation bladder infection |
| url | https://www.frontiersin.org/articles/10.3389/fams.2023.1090334/full |
| work_keys_str_mv | AT anaslasridoukkali ahybridindividualbasedmathematicalmodeltostudybladderinfections AT tommasolorenzi ahybridindividualbasedmathematicalmodeltostudybladderinfections AT benjaminjparcell ahybridindividualbasedmathematicalmodeltostudybladderinfections AT jenniferlrohn ahybridindividualbasedmathematicalmodeltostudybladderinfections AT ruthbowness ahybridindividualbasedmathematicalmodeltostudybladderinfections AT anaslasridoukkali hybridindividualbasedmathematicalmodeltostudybladderinfections AT tommasolorenzi hybridindividualbasedmathematicalmodeltostudybladderinfections AT benjaminjparcell hybridindividualbasedmathematicalmodeltostudybladderinfections AT jenniferlrohn hybridindividualbasedmathematicalmodeltostudybladderinfections AT ruthbowness hybridindividualbasedmathematicalmodeltostudybladderinfections |