AMRnet will be a data-visualisation dashboard that makes genome-derived antimicrobial resistance (AMR) data accessible to a wide range of stakeholders including policy makers.
AMRnet visualisations will be geared towards showing national annual prevalence estimates and trends, that can be broken down and explored in terms of underlying genotypes and AMR mechanisms, for bacterial pathogens of public health importance.
The concept is based on the TyphiNET dashboard, which serves data on the typhoid fever pathogen Salmonella Typhi.
The AMRnet team comprise research software engineers, bioinformaticians and experts in AMR genomics, epidemiology and policy.
AMRnet is an open science project. The code we develop will be opensource, and the databases freely available to download or to query via APIs. Code and data will be available from: github.com/amrnet
The AMRnet project has a policy advisory group, whose role is to maximise our potential for impact on informing public health management and the direction of interventions against antimicrobial resistance.
Why is AMR surveillance important?
AMR surveillance involves gathering data on the prevalence of resistance to specific antimicrobials amongst infections caused by specific pathogens. AMR surveillance is recognised by the World Health Organisation as an essential tool to inform policies and infection prevention and control responses. Policy makers use the data to inform on a range of clinical and public health issues including recommendations for the use of drugs for empirical treatment or prevention of infection, and policies affecting availability of requisite drugs; and making the case for national immunisation programs (as lack of reliable treatment for incident infections can tip the balance in favour of population-scale preventative measures).
Why is genomics important?
Pathogen sequencing is increasingly used as a primary or core method for pathogen characterisation in both research and public health microbiology laboratories. Laboratory protocols for sequencing are relatively easy to standardise and the resulting sequence data, being digital, is straightforward to store and share. Genome data can simultaneously provide information on all known AMR mechanisms for all drugs of interest, together with variant/subtype information such as lineage, serotype or pathotype which can have additional epidemiological or clinical relevance. Analyses at gene/mechanism level are also more sensitive to change than analysis of resistance phenotypes, thus have the potential to detect and respond to changing trends much earlier.
What will the AMRnet project do?
There is untapped potential for pathogen genomic data to fill gaps in AMR surveillance, that could inform policies and responses to the global AMR crisis and help reduce future disease burden.
Development of genomic databases and digital infrastructure has so far, rightly, been geared towards supporting basic microbiology and public health investigations (e.g. detecting outbreaks and tracking the emergence and spread of AMR mechanisms), and there are no tools specifically designed to mine these data for the purpose of extracting and making accessible AMR surveillance-ready information to a high-level audience of policy makers. This is particularly relevant to low- and middle-income countries that have a high AMR burden but lack routine diagnostics or national surveillance programs, yet there are untapped genomic data from local research studies or from travellers returning to countries with routine genomic surveillance, which could be used to estimate national annual prevalence to help understand local drivers and mechanisms of resistance and inform policy. While there is already an established culture of pathogen sequence data sharing, these data are essentially invisible to policy makers, and are hard to distinguish amongst the broader set of genome data that is not relevant to surveillance.
We aim to address this by making high-quality, robust and reliable genome-derived AMR surveillance data accessible to a wide audience, via an open-source AMRnet dashboard. AMRnet visualisations will be geared towards showing national annual prevalence estimates and trends, that can be broken down and explored in terms of underlying genotypes and AMR mechanisms, for bacterial pathogens of public health importance.
This will be achieved by developing integrated solutions to multiple related challenges, including:
- improving the availability and identifiability of relevant data (including sequence, source and purpose-of-sampling descriptors to ensure only surveillance-ready data are included in prevalence estimates);
- filling in gaps in genome data analysis & interpretation (e.g. organism-specific interpretive frameworks for AMR genotyping); and
- making data accessible through interactive visualisation tools and APIs.
The project is funded by the Wellcome Trust (grant 226432/Z/22/Z).
Professor in Microbial Systems Genomics, London School of Hygiene and Tropical Medicine (LSHTM). Kat’s research group focuses on using genomics, bioinformatics and epidemiology to understand the evolution and spread of antimicrobial resistance (AMR). She co-directs the LSHTM AMR Centre and is former Editor-in-Chief of the journal Microbial Genomics.
Zoe is a computational and laboratory microbiologist specialising in understanding the genetic epidemiology and evolution of antimicrobial resistance in the bacterial agents of enteric fever.
Research Software Engineer / Microbial Genomics
Louise is a software developer with a PhD in microbial genomics, and leads code development for the AMRnet platform.
Vandana is a software developer, supporting code development for the AMRnet dashboard.
Megan is an epidemiologist and vaccine policy expert with a PhD in typhoid fever genomics. She is leading policy engagement for the AMRnet project.
The role of the Policy Advisory Group is to help the AMRnet project maximise its potential for impact on informing public health management and the direction of interventions against antimicrobial resistance (AMR).
The Advisory Group makes recommendations on prioritisation of pathogens, framing and dissemination of project outputs, maximising potential downstream public health benefit, and identifying opportunities to use and promote genomic surveillance data to support public health decision-making.
Advisory Group Members
- Technical Officer, Antimicrobial Resistance, National Institute of Health, Pakistan
- Co-Director LSHTM, Centre for Epidemic Preparedness and Response
- Professor of Molecular Microbiology and Global Health, Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine
- MRC Investigator, Medical Research Council Unit The Gambia at London School of Hygiene & Tropical Medicine
- South African Research Chair (SARChI) in Antibiotic Resistance and One Health and Professor of Pharmaceutical Sciences, University of Kwazulu-Natal
- Vice Dean (Global Health), Programme Leader (Infectious Diseases) and Associate Professor, National University of Singapore Saw Swee Hock School of Public Health
- Founder and President, One Health Trust (formerly Center for Disease Dynamics, Economics & Policy)
- Head of Microbiology and Assistant Professor, Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University
- Professor of Infectious Diseases, Head of Division of Infectious Diseases & HIV Medicine, University of Cape Town
- Director, The Trinity Challenge
- Professor of Pharmaceutical Microbiology, University of Ibadan, Nigeria
- Professor, Infectious Diseases, University of Lorraine
- Managing Director, AMR Policy Accelerator &Research Director, Global Antimicrobial Resistance, Global Strategy Lab
- Managing Director, WHO Collaborating Centre on Global Governance of Antimicrobial Resistance
- Vice-Chair, International Network for AMR Social Science (INAMRSS)
- Director & Scientist, Child Health Research Foundation (CHRF), Bangladesh
- Professor of Paediatric Infectious Diseases, St George’s University London
- Chair, WHO Essential Medicine List Antibiotic Working Group
- Associate Professor, Science in Diplomacy Lab
- Global Studies Institute and Computer Science Department, Faculty of Sciences, University of Geneva
- Evidence & Emerging Resistances Team, Surveillance, Evidence and Laboratory Strengthening Unit, Department of Surveillance, Prevention and Control, AMR Division, World Health Organization, Geneva
- Head of Partnerships and Stakeholder Engagement, International Centre for Antimicrobial Resistance Solutions (ICARS)