Amelie Ott
Antimicrobial resistance in rivers in low-to-middle-income countries.
Email: a.i.g.ott2@ncl.ac.uk
Project supervisors
- Prof David Graham
- Dr Greg O’Donnell
- Dr Michaela Goodson (NUMed Malaysia)
Project description
The prevalence of AMR in rivers is greatest in low-to-middle income countries (LMICs). LMICs use antibiotics less prudently and waste management is inconsistent.
But predicting AMR exposure is difficult because monitoring programmes rarely include AMR indicators. As such, an urgent need exists to characterise AMR in LMIC rivers. We need to define current conditions. We also need to develop models for predicting conditions with limited data.
This research combines new monitoring data for Malaysia with a novel hydrologic-AMR tracking model to predict AMR exposures in LMIC catchments. The model can help local stakeholders to identify optimal interventions to reduce the health risk of AMR in rivers. These include engineering and social options.
- Tracking Antimicrobial Resistance in Malaysia
- Antimicrobial resistance in the environment of emerging countries
Publications
- Ott A, Martin TJ, Whale GF, Snape JR, Rowles B, Galay-Burgos M, Davenport RJ. Improving the biodegradability in seawater test (OECD 306). Science of the Total Environment 2019, 666, 399-404.
- Brown MR, Hands CL, Coello-Garcia T, Sani BS, Ott AIG, Smith SJ, Davenport RJ. A flow cytometry method for bacterial quantification and biomass estimates in activated sludge. Journal of Microbiological Methods 2019, 160, 73-83.
- ECETOC (2017) Improvement of the OECD 306 Screening Test, Workshop Report.
Interests
Running, yoga, travelling and painting
Qualifications
BSc Biotechnology – Beuth University of Applied Sciences Berlin, Germany
twitter @amelieott
http://www.linkedin.com/in/amelieott
https://www.researchgate.net/profile/Amelie_Ott
https://scholar.google.co.uk/citations?user=1ExIzQ8AAAAJ&hl=en