Chad M. Centner, Sabrina Di Gregorio, Silvia Argimón, Alice Brankin, Anna Dean, Daniel Marcano Zamora, Silvia Bertagnolio
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.