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Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens
Author(s) -
Robert D. Stedtfeld,
Maggie R. Williams,
Umama Fakher,
Timothy A. Johnson,
Tiffany M. Stedtfeld,
Fang Wang,
Walid Khalife,
Mary J. Hughes,
Brett Etchebarne,
James M. Tiedje,
Syed A. Hashsham
Publication year - 2016
Publication title -
fems microbiology ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.377
H-Index - 155
eISSN - 1574-6941
pISSN - 0168-6496
DOI - 10.1093/femsec/fiw020
Subject(s) - dashboard , antibiotic resistance , geography , computer science , data science , biology , bacteria , genetics
An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities.

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