Antimicrobial resistance databases: opportunities and challenges for public health
Antimicrobial resistance (AMR) databases enable the identification of AMR determinants from pathogen sequence data and the prediction of resistance profiles, enhancing AMR surveillance and informing a range of public health interventions. This review compares freely available and regularly updated AMR databases, explores their public health value and highlights key challenges to and opportunities for fully harnessing their potential.
Authors
- Alice Brankin (ORCID: https://orcid.org/0000-0002-5070-6525)
- Sabrina Di Gregorio (ORCID: https://orcid.org/0000-0003-3787-3318)
- Chad M. Centner (ORCID: https://orcid.org/0000-0001-7289-534X)
- Silvia Bertagnolio (ORCID: https://orcid.org/0000-0001-8416-2581)
- Anna Dean
- Silvia Argimón
- Daniel Marcano Zamora
Institutions
- Office of Readiness and Response (US)
- World Health Organization (CH)
Publication Details
- Journal
- npj Antimicrobials and Resistance
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1038/s44259-025-00169-1
- Primary Topic
- Antibiotic Use and Resistance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centers for Disease Control and Prevention