Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorLasri Doukkali, Anas
dc.contributor.authorLorenzi, Tommaso
dc.contributor.authorParcell, Benjamin J.
dc.contributor.authorRohn, Jennifer L.
dc.contributor.authorBowness, Ruth
dc.date.accessioned2023-02-20T11:30:33Z
dc.date.available2023-02-20T11:30:33Z
dc.date.issued2023-02-03
dc.identifier283442824
dc.identifier92d0cfa5-af50-41a1-9324-3e7d12a5cc1d
dc.identifier85148359934
dc.identifier.citationLasri 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.2023.1090334en
dc.identifier.issn2297-4687
dc.identifier.otherJisc: 908602
dc.identifier.urihttps://hdl.handle.net/10023/27015
dc.descriptionFunding: RB was supported by a fellowship funded by the Medical Research Council, MR/P014704/1, and also acknowledges funding from the Academy of Medical Sciences (London), the Wellcome Trust (London), the UK Government Department of Business, Energy and Industrial Strategy (London), the British Heart Foundation (London), and the Global Challenges Research Fund (Swindon, UK; grant number SBF003\1052). TL gratefully acknowledges support from the Italian Ministry of University and Research (MUR) through the grant Dipartimenti di Eccellenza 2018-2022 (Project no. E11G18000350001) and the PRIN 2020 project (No. 2020JLWP23) Integrated Mathematical Approaches to Socio-Epidemiological Dynamics (CUP: E15F21005420006).en
dc.description.abstractIntroduction : 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.
dc.format.extent15
dc.format.extent3065165
dc.language.isoeng
dc.relation.ispartofFrontiers in Applied Mathematics and Statisticsen
dc.subjectMathematicalen
dc.subjectModelen
dc.subjectIndividual-baseden
dc.subjectSimulationen
dc.subjectBladderen
dc.subjectInfectionen
dc.subjectEscherichia colien
dc.subjectRC Internal medicineen
dc.subjectQA Mathematicsen
dc.subjectDASen
dc.subjectNISen
dc.subjectMCCen
dc.subject.lccRCen
dc.subject.lccQAen
dc.titleA hybrid individual-based mathematical model to study bladder infectionsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.identifier.doi10.3389/fams.2023.1090334
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record