Antimicrobial resistance databases: opportunities and challenges for public health

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Authors: Chad M. Centner, Sabrina Di Gregorio, Silvia Argimón, Alice Brankin, Anna Dean, Daniel Marcano Zamora, Silvia Bertagnolio
Cited by: 9
References: 77

Abstract

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.

Fields of Study & Subjects

Antibiotic Use and Resistance Antibiotic Resistance in Bacteria Pharmaceutical and Antibiotic Environmental Impacts

Publication details

Journal / source
npj Antimicrobials and Resistance
Publisher
Springer Science and Business Media LLC
Volume
4
Issue
1
Pages
1–1
Publication date
8 January 2026
Language
EN