Innovations in genomic antimicrobial resistance surveillance.

  • Nicole E. Wheeler
  • , Vivien Price
  • , Edward Cunningham-Oakes
  • , Kara K. Tsang
  • , Jamie G. Nunn
  • , Janet T. Midega
  • , Muna F. Anjum
  • , Matthew J. Wade
  • , Nick Feasey
  • , Sharon J. Peacock
  • , Elita Jauneikaite
  • , Kate S. Baker

Research output: Contribution to journalReview articlepeer-review

42 Citations (Scopus)

Abstract

Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used for antimicrobial resistance (AMR) surveillance, particularly in high-income countries. Innovations in genome sequencing and analysis technologies promise to revolutionise AMR surveillance and epidemiology; however, routine adoption of these technologies is challenging, particularly in low-income and middle-income countries. As part of a wider series of workshops and online consultations, a group of experts in AMR pathogen genomics and computational tool development conducted a situational analysis, identifying the following under-used innovations in genomic AMR surveillance: clinical metagenomics, environmental metagenomics, gene or plasmid tracking, and machine learning. The group recommended developing cost-effective use cases for each approach and mapping data outputs to clinical outcomes of interest to justify additional investment in capacity, training, and staff required to implement these technologies. Harmonisation and standardisation of methods, and the creation of equitable data sharing and governance frameworks, will facilitate successful implementation of these innovations.

Original languageEnglish
Pages (from-to)e1063-e1070
JournalThe Lancet Microbe
Volume4
Issue number12
DOIs
Publication statusPublished - 14 Nov 2023

Fingerprint

Dive into the research topics of 'Innovations in genomic antimicrobial resistance surveillance.'. Together they form a unique fingerprint.

Cite this