Evidence map›Paper›PMID 34850831›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Train-the-Trainer as an Effective Approach to Building Global Networks of Experts in Genomic Surveillance of Antimicrobial Resistance (AMR).

Monica Abrudan, Alice Matimba, Dusanka Nikolic, Darren Hughes, Silvia Argimón, Mihir Kekre, Anthony Underwood, David M Aanensen, NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Overcoming Data Bottlenecks in Genomic Pathogen Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  17. Integrating Scalable Genome Sequencing Into Microbiology Laboratories for Routine Antimicrobial Resistance Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  18. Implementing Whole-Genome Sequencing for Ongoing Surveillance of Antimicrobial Resistance: Exemplifying Insights Into Klebsiella pneumoniae.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Monica AbrudanCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK, and Wellcome Genome Campus, Hinxton, UK.
Alice MatimbaWellcome Connecting Science, Wellcome Genome Campus, Hinxton, UK.
Dusanka NikolicWellcome Connecting Science, Wellcome Genome Campus, Hinxton, UK.
Darren HughesWellcome Connecting Science, Wellcome Genome Campus, Hinxton, UK.
Silvia ArgimónCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK, and Wellcome Genome Campus, Hinxton, UK.
Mihir KekreCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK, and Wellcome Genome Campus, Hinxton, UK.
Anthony UnderwoodCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK, and Wellcome Genome Campus, Hinxton, UK.
David M AanensenCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK, and Wellcome Genome Campus, Hinxton, UK.
NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance

Funding

Wellcome TrustWellcome Trust 206194/Z/17/Z
6 · The paper itself

Abstract

Advanced genomics and sequencing technologies are increasingly becoming critical for global health applications such as pathogen and antimicrobial resistance (AMR) surveillance. Limited resources challenge capacity development in low- and middle-income countries (LMICs), with few countries having genomics facilities and adequately trained staff. Training research and public health experts who are directly involved in the establishment of such facilities offers an effective, but limited, solution to a growing need. Instead, training them to impart their knowledge and skills to others provides a sustainable model for scaling up the much needed capacity and capability for genomic sequencing and analysis locally with global impact. We designed and developed a Train-the-Trainer course integrating pedagogical aspects with genomic and bioinformatics activities. The course was delivered to 18 participants from 12 countries in Africa, Asia, and Latin America. A combination of teaching strategies culminating in a group project created a foundation for continued development at home institutions. Upon follow-up after 6 months, at least 40% of trainees had initiated training programs and collaborations to build capacity at local, national, and regional level. This work provides a framework for implementing a training and capacity building program for the application of genomics tools and resources in AMR surveillance.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialCapacity BuildingDeveloping CountriesGenomicsHumansAnti-Bacterial AgentsAMR surveillanceantimicrobial resistancebioinformaticsgenomicstrain-the-trainer

Identifiers

PMID34850831
PMCPMC8634536

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.