1. Home
  2. A One Health framework to assess the risks of antimicrobial resistance in aquatic ecosystems in North-East Thailand and inform mitigation strategies
DEPARTMENT FOR SCIENCE, INNOVATION AND TECHNOLOGY

A One Health framework to assess the risks of antimicrobial resistance in aquatic ecosystems in North-East Thailand and inform mitigation strategies

IATI Identifier: GB-GOV-26-ISPF-MRC-8ZJYSB5-4PK9S2Q-8NHD2LU
Project disclaimer
Disclaimer: The data for this page has been produced from IATI data published by DEPARTMENT FOR SCIENCE, INNOVATION AND TECHNOLOGY. Please contact them (Show Email Address) if you have any questions about their data.

Description

The rapid global rise in antimicrobial resistance (AMR) is a critical public health crisis. It is widely acknowledged to be a One Health challenge, with aquatic environments playing a role of in the development and spread of AMR to people and animals. Aquaculture is an essential food production sector in South-East Asia; however, overuse of antibiotics and poor adherence to antibiotic treatment regimes are considered key contributors to rapid AMR development in the aquatic environment. This includes several classes of antimicrobials essential to treat human infections that are delivered to fish through medicated feed directly in shared waterbodies. Despite these concerns, the risks associated with environmental AMR – including the relative contribution of aquaculture – are poorly characterised and quantified, making it challenging to devise appropriate mitigation strategies or assess their effectiveness. This study will apply a One Health approach to elucidate the contribution of aquaculture production to environmental AMR and the subsequent risks for people, using the Pao River watershed in north-eastern Thailand. In this region, tilapia farming in open cages is commonly practiced and our team has documented high levels of unregulated antimicrobial use, wherein farmers frequently use products with unknown formulations or products not necessarily developed for use with fish. The risks that this poses for driving the selection for AMR are unknown. Moreover, antibiotic-treated feed is commonly prepared without the use of appropriate personal protective equipment such as masks and gloves, representing a potential risk for heightened AMR in fish farmers. Also in this watershed, our previous study revealed high levels of multi-drug resistant E. coli in banteng – a species of wild cattle – compared with local domestic cattle. This has led us to hypothesise that wildlife and people are at risk of acquiring AMR through this shared water source as a consequence of antibiotic use in aquaculture. To characterise and quantify these risks, we will: Assess the relative contribution of different sources of AMR to the Pao River watershed, and determine the degree of sharing of AMR bacteria/genes across the One Health spectrum. This will be done by i) measuring concentrations of antimicrobial residues and types/levels of resistant bacteria up- and down-stream of fish farms and compared with control sites without aquaculture; and ii) determining the AMR profiles of two key indicator bacterial species isolated across the One Health spectrum within the watershed (i.e. from samples collected from people, livestock, wildlife, fish) to assess for the specific contribution of aquaculture amongst other potential sources of AMR. This will be investigated through a combination of phylogenomic approaches and source attribution modelling. Characterise the practices and risks related to antimicrobial use in aquaculture as a potential driver for AMR in the aquatic environment. This will include measuring the quality and quantity of antimicrobials used, how they are administered, and what is driving these treatment decisions. We will assess likely uptake of different intervention options for improving antimicrobial stewardship through a stated-preference choice experiment. Based on the key risks identified, potential interventions to reduce the development and spread of AMR will be co-developed with multiple stakeholders, incorporating regulatory, political, economic and social dimensions. Overall, this study will generate new knowledge on AMR risks from aquatic food production and lead to an intervention pathway.

Objectives

The rapid global rise in antimicrobial resistance (AMR) is a critical public health crisis. It is widely acknowledged to be a One Health challenge, with aquatic environments playing a role of in the development and spread of AMR to people and animals. Aquaculture is an essential food production sector in South-East Asia; however, overuse of antibiotics and poor adherence to antibiotic treatment regimes are considered key contributors to rapid AMR development in the aquatic environment. This includes several classes of antimicrobials essential to treat human infections that are delivered to fish through medicated feed directly in shared waterbodies. Despite these concerns, the risks associated with environmental AMR – including the relative contribution of aquaculture – are poorly characterised and quantified, making it challenging to devise appropriate mitigation strategies or assess their effectiveness. This study will apply a One Health approach to elucidate the contribution of aquaculture production to environmental AMR and the subsequent risks for people, using the Pao River watershed in north-eastern Thailand. In this region, tilapia farming in open cages is commonly practiced and our team has documented high levels of unregulated antimicrobial use, wherein farmers frequently use products with unknown formulations or products not necessarily developed for use with fish. The risks that this poses for driving the selection for AMR are unknown. Moreover, antibiotic-treated feed is commonly prepared without the use of appropriate personal protective equipment such as masks and gloves, representing a potential risk for heightened AMR in fish farmers. Also in this watershed, our previous study revealed high levels of multi-drug resistant E. coli in banteng – a species of wild cattle – compared with local domestic cattle. This has led us to hypothesise that wildlife and people are at risk of acquiring AMR through this shared water source as a consequence of antibiotic use in aquaculture. To characterise and quantify these risks, we will: Assess the relative contribution of different sources of AMR to the Pao River watershed, and determine the degree of sharing of AMR bacteria/genes across the One Health spectrum. This will be done by i) measuring concentrations of antimicrobial residues and types/levels of resistant bacteria up- and down-stream of fish farms and compared with control sites without aquaculture; and ii) determining the AMR profiles of two key indicator bacterial species isolated across the One Health spectrum within the watershed (i.e. from samples collected from people, livestock, wildlife, fish) to assess for the specific contribution of aquaculture amongst other potential sources of AMR. This will be investigated through a combination of phylogenomic approaches and source attribution modelling. Characterise the practices and risks related to antimicrobial use in aquaculture as a potential driver for AMR in the aquatic environment. This will include measuring the quality and quantity of antimicrobials used, how they are administered, and what is driving these treatment decisions. We will assess likely uptake of different intervention options for improving antimicrobial stewardship through a stated-preference choice experiment. Based on the key risks identified, potential interventions to reduce the development and spread of AMR will be co-developed with multiple stakeholders, incorporating regulatory, political, economic and social dimensions. Overall, this study will generate new knowledge on AMR risks from aquatic food production and lead to an intervention pathway.


Location

The country, countries or regions that benefit from this Programme.
Thailand
Disclaimer: Country borders do not necessarily reflect the UK Government's official position.

Status Implementation

The current stage of the Programme, consistent with the International Aid Transparency Initiative's (IATI) classifications.

Programme Spend

Programme budget and spend to date, as per the amounts loaded in financial system(s), and for which procurement has been finalised.

Participating Organisation(s)

Help with participating organisations

Accountable:Organisation responsible for oversight of the activity

Extending: Organisation that manages the budget on behalf of the funding organisation.

Funding: Organisation which provides funds.

Implementing: Organisations implementing the activity.

Sectors

Sector groups as a percentage of total Programme budget according to the OECD Development Assistance Committee (DAC) classifications.

Budget

A comparison across financial years of forecast budget and spend to date on the Programme.

Download IATI Data for GB-GOV-26-ISPF-MRC-8ZJYSB5-4PK9S2Q-8NHD2LU