Record Details

Water quality modelling framework for evaluating antibiotic resistance in aquatic environments

CGSpace

View Archive Info
 
 
Field Value
 
Title Water quality modelling framework for evaluating antibiotic resistance in aquatic environments
 
Creator Jampani, Mahesh
Gothwal, Ritu
Mateo-Sagasta, Javier
Langan, Simon
 
Subject water quality
modelling
frameworks
antibiotic resistance
aquatic environment
bacteria
risk assessment
watersheds
 
Description In recent decades, antibiotic resistance (AR) has become a public health concern fuelled by increasing antibiotic consumption in many societies. Aquatic environments play a crucial role in AR development and spread where they receive antibiotics, antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) from a number of sources such as agriculture, aquaculture and wastewater treatment plants. Modelling is an increasingly important approach to understanding AR in aquatic environments and helps identify resistance patterns of emerging concern, evaluate fate and transport, and assess infection risks as well as look into their management in the future. However, current water quality models need to be improved to deal with the development and spread of AR. Prioritising the development of fate and transport models for AR could provide insights into bacterial evolution and help manage environmental pollution. This article provides a conceptual water quality modelling framework through a concise review of methods and approaches that can be used to model and evaluate AR in aquatic environments at the watershed scale. The key steps that need to build a framework include identifying sources and loadings, modelling the fate and transport of ARB and quantifying associated risks to humans and animals. Developing modelling scenarios and management strategies based on the framework could also contribute to achieving Sustainable Development Goals 3 (good health and well-being) and 6 (clean water and sanitation).
 
Date 2022-11
2022-05-31T16:07:57Z
2022-05-31T16:07:57Z
 
Type Journal Article
 
Identifier Jampani, Mahesh; Gothwal, Ritu; Mateo-Sagasta, Javier; Langan, Simon. 2022. Water quality modelling framework for evaluating antibiotic resistance in aquatic environments. Journal of Hazardous Materials Letters, 3:100056. [doi: https://doi.org/10.1016/j.hazl.2022.100056]
2666-9110
https://hdl.handle.net/10568/119701
https://www.sciencedirect.com/science/article/pii/S2666911022000090/pdfft?md5=e212c2526459913c8690a64f3856fb06&pid=1-s2.0-S2666911022000090-main.pdf
https://doi.org/10.1016/j.hazl.2022.100056
H051164
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 3:100056
 
Publisher Elsevier
 
Source Journal of Hazardous Materials Letters