Antimicrobial resistance (AMR) is a major global public health threat.
This resource provides visualisations into the AMR Register, an open database on species isolates resistant or susceptible to antibiotics around the world.
Click on points to select a year
Argentina | Acinetobacter baumannii | 2017
Resistant | Ceftazidime
Antimicrobial resistance (AMR) is a major global public health threat and its spread needs to be monitored to predict future outbreaks.
AMR data from various resources worldwide can be integrated for a standardised global surveillance of AMR, which can be implemented in
accessible tools to inform policymakers and healthcare shapers. Researchers at King’s College London and The Turing Institute have
collaborated to build a website of interactive visualisations of the AMR Register for AMR epidemiologists
These visualisations include:
a time-series graph showing the percentage of isolates that were found to be resistant to antibiotics for each country and species.
This graph also integrates information on previously reported AMR databases from mostly publicly-funded bodies (such as the
Global Antimicrobial Resistance Surveillance Network).
pie charts to represent the proportions of antibiotics tested where isolates were found to be resistant, intermediate or susceptible
a bar chart to show the percentage of tests that were taken from different groups, such as age group.
How to use
The user first selects the country and species of interest to create a time-series graph showing the percentage of isolates
that were found to be resistant. The lines can be removed or added by clicking on the legend values.
The "Previously Reported" button shows the antibiotics and years that has been reported in other data sources for that country and species. Vice versa,
the "Not Previously Reported" button shows the antibiotics and years that have not been reported. The "All Data" button reverts back to both previously and not
previously reported data.
Clicking a point on the time-series graph produces a pie chart of the corresponding year showing the proportion of antibiotics
where isolates were resistant (inner circle), intermediate (middle ring) or susceptible (outer ring). The pie chart design is
inspired by the disk diffusion test for reporting the antibiotic sensitivity of bacteria.
The rings/circles can be added or removed using the "Add/Remove" buttons to show proportions of individual breakpoints (resistant, intermediate and susceptible) more clearly
A segment of the pie chart can be clicked to produce a bar chart showing the percentages of tests of a particular age group, gender,
part of the body (source), (medical) speciality or state (for the United States only).
The graph images can be saved by right clicking the graph, and clicking "Save Image As"
Victoria Carr is a bioinformatics PhD student at the Centre for Host-Microbiome Interactions, King's College London studying
antimicrobial resistance and computational metagenomics. Victoria is a developer for a Biotech start-up, Blue Ridge Bioinformatics.
She also runs a community and a podcast, called Researc/hers Code, supporting women in tech
and academia through running coding and skills workshops, and interviewing female scientists on the podcast.She often participates
in hackathons, likes to create and build software, and is always on the lookout for new challenges in BioTech.
Dr Chanuki Seresinhe is a senior data scientist at Channel 4 and a data science researcher at the Alan Turing Institute.
Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment
influences human wellbeing. She also works as a freelance data scientist at Channel 4.
She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick. Prior to embarking on her PhD,
Chanuki had a successful design career that included running her own digital design consultancy for over eight years in London,
advising clients, including the Tate, Design Museum, Dezeen, NESTA and the Gulbenkian Foundation how to present their
businesses successfully online.