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Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk

A susceptible-infectious-susceptible (SIS) model for simulating healthcare-acquired infection spread within a hospital and associated community is proposed. The model accounts for the stratification of in-patients into two susceptibility-based risk groups. The model is formulated as a system of firs...

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Autores principales: Brachaczek, Paweł, Lonc, Agata, Kretzschmar, Mirjam E., Mikolajczyk, Rafael, Horn, Johannes, Karch, Andre, Sakowski, Konrad, Piotrowska, Monika J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616222/
https://www.ncbi.nlm.nih.gov/pubmed/37903799
http://dx.doi.org/10.1038/s41598-023-45248-3
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author Brachaczek, Paweł
Lonc, Agata
Kretzschmar, Mirjam E.
Mikolajczyk, Rafael
Horn, Johannes
Karch, Andre
Sakowski, Konrad
Piotrowska, Monika J.
author_facet Brachaczek, Paweł
Lonc, Agata
Kretzschmar, Mirjam E.
Mikolajczyk, Rafael
Horn, Johannes
Karch, Andre
Sakowski, Konrad
Piotrowska, Monika J.
author_sort Brachaczek, Paweł
collection PubMed
description A susceptible-infectious-susceptible (SIS) model for simulating healthcare-acquired infection spread within a hospital and associated community is proposed. The model accounts for the stratification of in-patients into two susceptibility-based risk groups. The model is formulated as a system of first-order ordinary differential equations (ODEs) with appropriate initial conditions. The mathematical analysis of this system is demonstrated. It is shown that the system has unique global solutions, which are bounded and non-negative. The basic reproduction number ([Formula: see text] ) for the considered model is derived. The existence and the stability of the stationary solutions are analysed. The disease-free stationary solution is always present and is globally asymptotically stable for [Formula: see text] , while for [Formula: see text] it is unstable. The presence of an endemic stationary solution depends on the model parameters and when it exists, it is globally asymptotically stable. The endemic state encompasses both risk groups. The endemic state within only one group only is not possible. In addition, for [Formula: see text] a forward bifurcation takes place. Numerical simulations, based on the anonymised insurance data, are also presented to illustrate theoretical results.
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spelling pubmed-106162222023-11-01 Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk Brachaczek, Paweł Lonc, Agata Kretzschmar, Mirjam E. Mikolajczyk, Rafael Horn, Johannes Karch, Andre Sakowski, Konrad Piotrowska, Monika J. Sci Rep Article A susceptible-infectious-susceptible (SIS) model for simulating healthcare-acquired infection spread within a hospital and associated community is proposed. The model accounts for the stratification of in-patients into two susceptibility-based risk groups. The model is formulated as a system of first-order ordinary differential equations (ODEs) with appropriate initial conditions. The mathematical analysis of this system is demonstrated. It is shown that the system has unique global solutions, which are bounded and non-negative. The basic reproduction number ([Formula: see text] ) for the considered model is derived. The existence and the stability of the stationary solutions are analysed. The disease-free stationary solution is always present and is globally asymptotically stable for [Formula: see text] , while for [Formula: see text] it is unstable. The presence of an endemic stationary solution depends on the model parameters and when it exists, it is globally asymptotically stable. The endemic state encompasses both risk groups. The endemic state within only one group only is not possible. In addition, for [Formula: see text] a forward bifurcation takes place. Numerical simulations, based on the anonymised insurance data, are also presented to illustrate theoretical results. Nature Publishing Group UK 2023-10-30 /pmc/articles/PMC10616222/ /pubmed/37903799 http://dx.doi.org/10.1038/s41598-023-45248-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Brachaczek, Paweł
Lonc, Agata
Kretzschmar, Mirjam E.
Mikolajczyk, Rafael
Horn, Johannes
Karch, Andre
Sakowski, Konrad
Piotrowska, Monika J.
Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title_full Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title_fullStr Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title_full_unstemmed Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title_short Transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
title_sort transmission of drug-resistant bacteria in a hospital-community model stratified by patient risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616222/
https://www.ncbi.nlm.nih.gov/pubmed/37903799
http://dx.doi.org/10.1038/s41598-023-45248-3
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