Antimicrobial resistance and genetic relatedness among Escherichia coli isolates across the animal-human wildlife interface in Austria

Cabal Rosel, Adriana; Peischl, Nadine; Daza, Beatriz; Stöger, Anna; Rab, Gerhard; Rathammer, Krista; Allerberger, Franz; Wögerbauer, Markus; Ruppitsch, Werner

doi:10.5281/zenodo.6641985

Record link:

http://hdl.handle.net/20.500.12708/144276

Title:

Antimicrobial resistance and genetic relatedness among Escherichia coli isolates across the animal-human wildlife interface in Austria

Citation:

Cabal Rosel, A., Peischl, N., Daza, B., Stöger, A., Rab, G., Rathammer, K., Allerberger, F., Wögerbauer, M., & Ruppitsch, W. (2022, April 22). Antimicrobial resistance and genetic relatedness among Escherichia coli isolates across the animal-human wildlife interface in Austria [Poster Presentation]. 32nd European Congress of Clinical Microbiology & Infectious Diseases (ECCMID), Lisbon, Portugal. https://doi.org/10.5281/zenodo.6641985

Publisher DOI:

10.5281/zenodo.6641985

Publication Type:

Presentation - Poster Presentation

Vortrag - Poster Presentation

Language:

English

Authors:

Cabal Rosel, Adriana
Peischl, Nadine
Daza, Beatriz
Stöger, Anna
Rab, Gerhard
Rathammer, Krista
Allerberger, Franz
Wögerbauer, Markus
Ruppitsch, Werner

Organisational Unit:

E222-02 - Forschungsbereich Ingenieurhydrologie

Date (published):

22-Apr-2022

Event name:

32nd European Congress of Clinical Microbiology & Infectious Diseases (ECCMID)

Event date:

23-Apr-2022 - 26-Apr-2022

Event place:

Lisbon, Portugal

Keywords:

Escherichia coli

Abstract:

Surveillance of antibiotic resistant bacteria (ARB) following One Health guidelines is needed to combat antimicrobial resistance (AMR). Here we aimed at assessing the genetic relatedness, the phenotypic resistance and antimicrobial resistance genes (ARGs) in E. coli across the human-animal-wildlife interface.

Project (external):

European Union

Project ID:

773830

Research Areas:

Environmental Monitoring and Climate Adaptation: 50%
Modeling and Simulation: 50%

Science Branch:

2011 - Bauingenieurwesen: 30%
2071 - Umwelttechnik: 20%
1053 - Hydrologie: 50%

License:

CC BY 4.0