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GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses

Easy access to antimicrobial resistance data and meaningful visualization is essential to guide the empirical antimicrobial treatment and to promote the rational use of antimicrobial agents. Currently available solutions are commonly externally hosted, centralized systems. However, there is a need f...

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Detalles Bibliográficos
Autores principales: Sandmann, Sarah, Schaumburg, Frieder, Varghese, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560266/
https://www.ncbi.nlm.nih.gov/pubmed/37805536
http://dx.doi.org/10.1038/s41598-023-44109-3
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author Sandmann, Sarah
Schaumburg, Frieder
Varghese, Julian
author_facet Sandmann, Sarah
Schaumburg, Frieder
Varghese, Julian
author_sort Sandmann, Sarah
collection PubMed
description Easy access to antimicrobial resistance data and meaningful visualization is essential to guide the empirical antimicrobial treatment and to promote the rational use of antimicrobial agents. Currently available solutions are commonly externally hosted, centralized systems. However, there is a need for close monitoring by local analysis tools. To fill this gap, we developed GEFAAR—a generic framework for the analysis of antimicrobial resistance data. Following the example of the German Robert Koch Institute (RKI), an interactive web-application is provided to determine basic pathogen and resistance statistics. In addition to the RKI’s externally maintained database, our application provides a generic framework to import tabular data and to analyze them safely in a local environment. Moreover, our application offers an intuitive web-based user interface to visualize resistance trend analysis as well as advanced cluster analyses on species- or clinic/unit level to generate alerts of potential transmission events.
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spelling pubmed-105602662023-10-09 GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses Sandmann, Sarah Schaumburg, Frieder Varghese, Julian Sci Rep Article Easy access to antimicrobial resistance data and meaningful visualization is essential to guide the empirical antimicrobial treatment and to promote the rational use of antimicrobial agents. Currently available solutions are commonly externally hosted, centralized systems. However, there is a need for close monitoring by local analysis tools. To fill this gap, we developed GEFAAR—a generic framework for the analysis of antimicrobial resistance data. Following the example of the German Robert Koch Institute (RKI), an interactive web-application is provided to determine basic pathogen and resistance statistics. In addition to the RKI’s externally maintained database, our application provides a generic framework to import tabular data and to analyze them safely in a local environment. Moreover, our application offers an intuitive web-based user interface to visualize resistance trend analysis as well as advanced cluster analyses on species- or clinic/unit level to generate alerts of potential transmission events. Nature Publishing Group UK 2023-10-07 /pmc/articles/PMC10560266/ /pubmed/37805536 http://dx.doi.org/10.1038/s41598-023-44109-3 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
Sandmann, Sarah
Schaumburg, Frieder
Varghese, Julian
GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title_full GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title_fullStr GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title_full_unstemmed GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title_short GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
title_sort gefaar: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560266/
https://www.ncbi.nlm.nih.gov/pubmed/37805536
http://dx.doi.org/10.1038/s41598-023-44109-3
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