A random spatio-temporal model for the dynamics of Candida Auris in Intensive Care Units with regular cleaning

Carlos Andreu-Vilarroig, Juan-Carlos Cortés, Cristina-Luisovna Pérez and Rafael-Jacinto Villanueva

Physica A: Statistical Mechanics and its Applications, 2023, vol. 630, issue C

Abstract: 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.

Keywords: Candida Auris; Spatio-temporal biological growth model; Randomized Fisher Kolmogorov–Petrovsky–Piskunov PDE; Model calibration with noise (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437123008099
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:630:y:2023:i:c:s0378437123008099

DOI: 10.1016/j.physa.2023.129254

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().