Centre for Genomic Pathogen Surveillance
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thecgps.bsky.social
Centre for Genomic Pathogen Surveillance
@thecgps.bsky.social
We provide data, insight and tools for pathogen surveillance and AMR research. Based at the Pandemic Sciences Institute, University of Oxford, UK.
Future planned updates include a) incorporation and filtering of additional metadata (e.g. isolate source), b) adding the ability to display data from bespoke genome collections (including user-defined) and c) extending to additional pathogens/vaccine targets.
June 19, 2025 at 8:44 AM
vaccines.watch currently displays data for >100k high-quality genomes with geotemporal sampling information (post-2010), but we demonstrate that substantial biases and geographic gaps remain in the coverage of available genomes.
June 19, 2025 at 8:44 AM
With analytics powered by Pathogenwatch (pathogen.watch), the platform uses the same “always-on” pipeline as the sister tool, amr.watch (amr.watch), with new genomes assembled, analysed and incorporated on an ongoing basis (every 4h) as public data are newly deposited.
Pathogenwatch
A global platform for genomic surveillance.
pathogen.watch
June 19, 2025 at 8:44 AM
The interactive interface enables users to assess vaccine target types (e.g. serotypes) within a broader population context by enabling assessment of their relationships with associated variant types (e.g. STs) and AMR markers, and within the context of existing pneumococcal vaccine formulations.
June 19, 2025 at 8:44 AM
We’ve initially focused on showing data for existing/prospective multivalent polysaccharide-based vaccines for Streptococcus pneumoniae, Klebsiella pneumoniae (and related species) and Acinetobacter baumannii.
June 19, 2025 at 8:44 AM
As global representativeness of data grows from increased genomic surveillance, we have designed vaccines.watch to support different stages of the vaccine pipeline, although caution in interpretation is currently important due to data representativeness (see below).
Vaccines.watch
vaccines.watch
June 19, 2025 at 8:44 AM
By combining survey data with additional public data, we also found substantial global spread of high-risk E. coli clones (e.g. ST167) with NDM-5 and other carbapenemases. We found many introductions of these clones into European hospitals in 2019, albeit with limited onward nosocomial transmission.
June 12, 2025 at 9:46 AM
Our findings suggest that the situation with carbapenem-resistant K. pneumoniae has continued to worsen and that control measures have not been able to interrupt transmission of high-risk lineages circulating within European hospital networks.
June 12, 2025 at 9:46 AM
Special thanks also to the project leads and collaborators @ecdc.europa.eu and Public Health Agency of Sweden, especially Anke Kohlenberg, Alma Brolund and Inga Froding, with whom it has been a pleasure to work with and learn from over the many years spanning the project.
June 12, 2025 at 9:46 AM
The work comes together from the valiant efforts of all participating hospitals and national reference laboratories, forming the EURGen-Net CCRE Survey Working Group, who were able to continue with the data collection even despite onset of the COVID-19 pandemic shortly after the survey period.
June 12, 2025 at 9:46 AM
The manuscripts, which follow up on the 2013-14 EuSCAPE survey, describe the occurrence and spread of carbapenem-resistant K. pneumoniae and E. coli using epidemiological, microbiological and WGS data obtained for isolates from >300 hospitals.
June 12, 2025 at 9:46 AM
amr.watch can be used to assess representation of geographic regions, e.g. with countries here in white currently lacking any public genomes. See more at amr.watch/all (6/6)
April 22, 2025 at 9:54 AM
Huge disparity in genomic data. We support all efforts to increase the genomic surveillance of pathogens on a global scale as dynamics differ locally - what happens in one place does not translate to another and high-risk clones can emerge anywhere. (5/6)
AMR.watch
amr.watch
April 22, 2025 at 9:54 AM
Always on: all QC-d genomes with geotemporal metadata are ingested from archives, analysed in pathogen.watch and results visualised in amr.watch. Data are extracted and updated every 4h, with observed trends thus only delayed by time to genome deposition. More on filtering: amr.watch/summary (4/6)
April 22, 2025 at 9:54 AM
We show disparities between high- and low-income settings, indicate vast gaps in our knowledge globally and highlight the need for ongoing, structured surveillance combined with timely data deposition (including metadata) to support public health. (3/6)
April 22, 2025 at 9:54 AM
Supporting all WHO priority pathogens (2017), amr.watch summarises the geographic and temporal distribution of genotypic variants (e.g. STs) in the context of AMR to aid monitoring and prioritisation efforts. (2/6)
AMR.watch
amr.watch
April 22, 2025 at 9:54 AM