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dc.contributor.author | Andreu-Vilarroig, Carlos![]() |
es_ES |
dc.contributor.author | Cortés, J.-C.![]() |
es_ES |
dc.contributor.author | Perez-Diukina, Cristina![]() |
es_ES |
dc.contributor.author | Villanueva Micó, Rafael Jacinto![]() |
es_ES |
dc.date.accessioned | 2024-06-26T18:11:30Z | |
dc.date.available | 2024-06-26T18:11:30Z | |
dc.date.issued | 2023-11-13 | es_ES |
dc.identifier.issn | 0378-4371 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/205499 | |
dc.description.abstract | [EN] Candida Auris is a pathogen that can express multiple virulence factors and is considered a significant menace to the Intensive Care Unit environment. In this work, we propose to model its growth with a computationally randomized Fisher Kolmogorov¿Petrovsky¿Piskunov partial differential equation. We calibrate the model using in vitro growth data and provide statistical features. We also evaluate the efficacy of a regular and uniform cleaning strategy with vaporized hydrogen peroxide to control Candida Auris¿ population in ICUs. | es_ES |
dc.description.sponsorship | This paper has been supported by the Spanish Agencia Estatal de Investigacion grant PID2020-115270GB-I00. Cristina Luisovna Perez has been supported by an FPU21 grant (Formacion de Profesorado Universitario 2021) from the Ministerio de Universidades. We want to give our most profound appreciation for the comments and suggestions raised by the two anonymous reviewers who have improved the final version of the paper. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Physica A Statistical Mechanics and its Applications | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Candida Auris | es_ES |
dc.subject | Spatio-temporal biological growth model | es_ES |
dc.subject | Randomized Fisher Kolmogorov-Petrovsky-Piskunov PDE | es_ES |
dc.subject | Model calibration with noise | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | A random spatio-temporal model for the dynamics of Candida Auris in Intensive Care Units with regular cleaning | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.physa.2023.129254 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115270GB-I00/ES/ECUACIONES DIFERENCIALES ALEATORIAS. CUANTIFICACION DE LA INCERTIDUMBRE Y APLICACIONES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MIU//FPU21%2F02343/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària | es_ES |
dc.description.bibliographicCitation | Andreu-Vilarroig, C.; Cortés, J.; Perez-Diukina, C.; Villanueva Micó, RJ. (2023). A random spatio-temporal model for the dynamics of Candida Auris in Intensive Care Units with regular cleaning. Physica A Statistical Mechanics and its Applications. 630. https://doi.org/10.1016/j.physa.2023.129254 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.physa.2023.129254 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 630 | es_ES |
dc.relation.pasarela | S\500270 | es_ES |
dc.contributor.funder | Ministerio de Universidades | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |