GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-44109-3 |
| _version_ | 1797453031235649536 |
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| author | Sarah Sandmann Frieder Schaumburg Julian Varghese |
| author_facet | Sarah Sandmann Frieder Schaumburg Julian Varghese |
| author_sort | Sarah Sandmann |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T15:17:02Z |
| format | Article |
| id | doaj.art-d8f06e1125874b5e8313929a6b9bf7ce |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:17:02Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d8f06e1125874b5e8313929a6b9bf7ce2023-11-26T13:04:09ZengNature PortfolioScientific Reports2045-23222023-10-0113111310.1038/s41598-023-44109-3GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analysesSarah Sandmann0Frieder Schaumburg1Julian Varghese2Institute of Medical Informatics, University of MünsterInstitute of Medical Microbiology, University of MünsterInstitute of Medical Informatics, University of MünsterAbstract 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.https://doi.org/10.1038/s41598-023-44109-3 |
| spellingShingle | Sarah Sandmann Frieder Schaumburg Julian Varghese GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-44109-3 |
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