Case studies
using 1928 in outbreak analysis

How to put figures on the benefits of WGS pathogen surveillance


Just like exercise gives the best results when it becomes a habit, so does WGS for infection control. Working proactively with WGS surveillance gives results, and the way it is implemented matters.

Outbreak Analysis Using 1928 - Serratia marcescens


Serratia marcescens outbreak analysis - Epidemiological typing of S. marcescens of samples collected at the Institute for Medical Microbiology, Immunology and Hygiene at the University of Cologne, Germany.

Outbreak Analysis Using 1928 - Streptococcus pyogenes


Streptococcus pyogenes outbreak analysis - Community outbreak of Streptococcus pyogenes.

White Paper: Outbreak analysis of Shigella sonnei using 1928 SNP analysis


An introduction on how to use the 1928 platform for outbreak analysis.

Outbreak Analysis Using 1928 - Acinetobacter baumannii


Acinetobacter baumannii outbreak analysis - Comparison of band-based and WGS typing on a hospital outbreak.

Outbreak Analysis Using 1928 - Enterococcus faecium


Enterococcus faecium outbreak analysis - Study of relatedness on VRE between patients from a long-term care facility and an acute hospital in the UK.

Outbreak Analysis Using 1928 - Escherichia coli


Escherichia coli outbreak analysis - Shiga toxin-producing E. coli (STEC) isolates analysed for the validation of reproducibility across reference laboratories in the UK.

Outbreak Analysis Using 1928 - Klebsiella pneumoniae


Klebsiella pneumoniae outbreak analysis - 37 K. pneumoniae samples display dispersal of kpc-plasmids to non-ST258 lineages.

Outbreak Analysis Using 1928 - Neisseria gonorrhoeae


Neisseria gonorrhoeae outbreak analysis - First worldwide N. gonorrhoeae with combined ceftriaxone and high-level azithromycin resistance, with related samples identified.

Outbreak Analysis Using 1928 - Pseudomonas aeruginosa


Pseudomonas aeruginosa outbreak analysis - Molecular and genomic typing comparison on an ICU Pseudomonas outbreak.