ArticleFrontiers in public health2020
Addressing Learning Needs on the Use of Metagenomics in Antimicrobial Resistance Surveillance.
Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Harnessing genomic and bioinformatics for surveillance of pathogens in Africa: a scoping review of existing training and gaps in training.BMC infectious diseases · 2026Article
- Fantastic microbes and where to find them: evaluating learning-by-doing outcomes in a crowdfunded metagenomics workshop.FEMS microbiology letters · 2026Article
- Artificial intelligence-enhanced biosurveillance for antimicrobial resistance in sub-Saharan Africa.International health · 2025Review
- Valorization as a biofertilizer of an agricultural residue leachate: Metagenomic characterization and growth promotion test by PGPB in the forage plantFrontiers in microbiology · 2022Article
- Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain.EFSA journal. European Food Safety Authority · 2021Article
- Development and Pilot of an Interactive Online Course on Antimicrobial Stewardship in Companion Animals.Antibiotics (Basel, Switzerland) · 2021Article
- Fecal Microbiome and Resistome Profiling of Healthy and Diseased Pakistani Individuals Using Next-Generation Sequencing.Microorganisms · 2021Article
- Current Trends in Experimental and Computational Approaches to Combat Antimicrobial Resistance.Frontiers in genetics · 2020Review
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One Health surveillance of antimicrobial resistance (AMR) depends on a harmonized method for detection of AMR. Metagenomics-based surveillance offers the possibility to compare resistomes within and between different target populations. Its potential to be embedded into policy in the future calls for a timely and integrated knowledge dissemination strategy. We developed a blended training (e-learning and a workshop) on the use of metagenomics in surveillance of pathogens and AMR. The objectives were to highlight the potential of metagenomics in the context of integrated surveillance, to demonstrate its applicability through hands-on training and to raise awareness to bias factors. The target participants included staff of competent authorities responsible for AMR monitoring and academic staff. The training was organized in modules covering the workflow, requirements, benefits and challenges of surveillance by metagenomics. The training had 41 participants. The face-to-face workshop was essential to understand the expectations of the participants about the transition to metagenomics-based surveillance. After revision of the e-learning, we released it as a Massive Open Online Course (MOOC), now available at https://www.coursera.org/learn/metagenomics. This course has run in more than 20 sessions, with more than 3,000 learners enrolled, from more than 120 countries. Blended learning and MOOCs are useful tools to deliver knowledge globally and across disciplines. The released MOOC can be a reference knowledge source for international players in the application of metagenomics in surveillance.
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Registered trials
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