One Health Alternate Antimicrobial Resistance Monitoring System (AlARMS)
- Funded by Wellcome Trust
- Total publications:0 publications
Grant number: 228172/Z/23/Z
Grant search
Key facts
Disease
N/A
Start & end year
20232025Known Financial Commitments (USD)
$269,452.55Funder
Wellcome TrustPrincipal Investigator
Prof Sabiha Y EssackResearch Location
South AfricaLead Research Institution
University of Kwazulu NatalResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen genomics, mutations and adaptations
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Leveraging the existing wastewater surveillance infrastructure built for polio and COVID-19 in South Africa, and, using a metagenomic approach, the proposed Alternate Antimicrobial Resistance Monitoring System (AlARMS) will delineate the burden of AMR from the longitudinal surveillance of the microbiome, resistome and mobilome in multiple One Health settings, comparing and contrasting genomic data from three sources: gut microbiota of vulnerable/at- risk humans, gut microbiota of their major, intensively-produced food animal sources, and associated wastewater microbiota. AlARMS will ascertain whether AMR in wastewater is representative of AMR in the microbiota of vulnerable/at- risk human (adding a step to the sewage-clinical AMR correlation by linking population-level AMR data) and animal populations and compare this to AMR in contemporary bacterial isolates from clinical and veterinary laboratories. The project will additionally explore the correlation/association (if any) between antimicrobial use (AMU) and antimicrobial residues in wastewater. AlARMS also includes an ethnographic study to ascertain socio-behavioural drivers of AMR and uses mathematical modelling to elucidate transmission dynamics. AlARMS may serve as early-warning and a proxy for conventional AMR surveillance systems in humans, food animals and the water, sanitation and hygiene (WASH) sector.