The global burden of AMR is increasing but there is still a lack of accurate data about the way drug-resistant infections are spreading and their impact, especially in low-and-middle income countries.
Robust and strong surveillance systems across the world, especially in low-and middle-income countries are essential to tackle AMR. At the national level, data can help inform health policies and responses to health emergencies. At the global level, this data can provide early warnings of emerging threats and help identify long–term trends.
Oxford scientists are using qualitative and quantitative data to map and understand the epidemiology of resistance across the globe.
Current projects
ACORN
A Clinically Orientated antimicrobial Resistance Network (ACORN) aims to develop and test a comprehensive data capture system for patient-focussed AMR surveillance in low- and middle-income country settings.
ADILA project
The Antibiotic Data to Inform Local Action (ADILA) project will assess the feasibility of developing “clinical antibiotic management tools” for hospitals and primary care (community) facilities.
AMASS
The project developed an open-access, easy-to-use application, named AutoMated tool for Antimicrobial resistance Surveillance System, that utilises retrospective data in Excel format to generate cumulative antibiotic susceptibility test reports.
AVIAR study
Arthropods as Vectors of Infection and Antimicrobial Resistance (AVIAR) is a multi-site and international surveillance project aiming to assess the prevalence of antibiotic resistance bacteria carried by flies.
BALANCE study
The Burden of AMR and treatment failure in low-, middle- and high-income countries (BALANCE) study compares the deaths caused by multidrug-resistant infections in LMICs with that of high-income countries.
BARNARDS study
The Burden of Antibiotic Resistance in Neonates from Developing Societies (BARNARDS) project aims to fill data gaps on the effectiveness of first- and second-line antibiotic treatments in LMICs to build a picture of the true impact of AMR in cases of neonatal sepsis.
Global Pathogen Analysis System
The Global Pathogen Analysis System (GPAS) aims to reduce the millions of lives lost through inappropriate treatment of infectious diseases and the avoidable escalation from local outbreaks to pandemics.
GRAM study
The Global Research on Antimicrobial Resistance (GRAM) study provides rigorous quantitative estimates of AMR burden to increase awareness of AMR and to boost surveillance efforts, particularly in low and middle income countries. The study aims to promote the rational use of antimicrobials worldwide.
Infectious Diseases Data Observatory
The Infectious Diseases Data Observatory (IDDO) promotes the reuse of individual participant data across the global infectious disease community, with a specific data platform dedicated to antimicrobial resistance, including antibiotic and antipararisitic resistance.
MORU Microbiology
The MORU Microbiology unit, part of the MORU network, aims to be a leader for prospective AMR surveillance system for LMICs. The team engage policy makers, healthcare providers and public, and influence in policy changes for better surveillance, diagnosis, treatment and prevention for those diseases.
SNIP-AFRICA
Severe Neonatal Infection Adaptive Platform trials in Africa (SNIP-AFRICA) targets neonatal sepsis by establishing a clinical research network and architecture to implement adaptive platform trials in sub-Saharan Africa, responding to the urgent need for improved treatment of childhood infection in an era of increasing resistance.