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

Sandmann S.; Schaumburg F.; Varghese J.

Research article (journal) | Peer reviewed

Abstract

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.

Details about the publication

JournalScientific Reports (Sci. Rep.)
Volume13
Issue1
StatusPublished
Release year2023
Language in which the publication is writtenEnglish
DOI10.1038/s41598-023-44109-3
Link to the full texthttps://api.elsevier.com/content/abstract/scopus_id/85173924972
Keywordsbioinformatics; antimicrobial resistance data

Authors from the University of Münster

Sandmann-Varghese, Sarah
Institute of Medical Informatics
Schaumburg, Frieder
Institute of Medical Microbiology
Varghese, Julian
Institute of Medical Informatics