Evidence map›Paper›PMID 42136599›Full record

ArticleFrontiers in public health2026

Mapping pathogen genomics training provision: a structured analysis within a global consortium network.

Alice Matimba, Kirsty Lee Garson, Nídia S Trovão, Siddiqah George, Yiqun Tony Li, Daniel Evans, Jorge Batista da Rocha, James Otieno, Jolynne Mokaya, Tracey Calvert-Joshua and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Alice MatimbaWellcome Sanger Institute, Hinxton, United Kingdom.
Kirsty Lee GarsonComputational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Nídia S TrovãoFogarty International Center, National Institutes of Health, Bethesda, MD, United States.
Siddiqah GeorgeComputational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Yiqun Tony LiComputational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Daniel EvansMinnesota Department of Health, Saint Paul, MN, United States.
Jorge Batista da RochaWellcome Sanger Institute, Hinxton, United Kingdom.
James OtienoEpidemic and Pandemic Management Department, World Health Organization, Geneva, Switzerland.
Jolynne MokayaWellcome Sanger Institute, Hinxton, United Kingdom.
Tracey Calvert-JoshuaPHA4GE, Cape Town, South Africa.
Heather M BlankenshipMichigan Department of Health and Human Services, Lansing, MI, United States.
Nicola MulderComputational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pathogen genomics plays a central role in infectious disease surveillance and outbreak response. However, information about available training initiatives remains fragmented, limiting visibility into how programmes are structured, delivered, and assessed. Methods: We conducted a structured survey to characterise pathogen genomics training initiatives identified through the PHA4GE Training and Workforce Development Working Group and affiliated professional networks. Results: Eighty-one courses were analysed representing pathogen genomics training initiatives from 17 countries. Over half (52%) targeted academic or research audiences and 46% targeted public health professionals. Majority of courses were delivered as short, limited-duration standalone courses. Beginner-level courses accounted for 58% of offerings, whereas only 6% were classified as advanced. Bioinformatics or genomic data analysis was widely represented (72%), while specialised areas such as biostatistics and systems administration were less frequently included. Nearly half (48%) of courses focused on broadly applicable genomic methods rather than being restricted to a single pathogen. Among courses centred on specific organisms, viral pathogen themes were most commonly represented. Over one-third of courses (38%) did not include structured assessments, with only 7% incorporating quizzes or exams. Most courses relied on local computing resources such as laptops or desktops during delivery (93%). Use of high-performance computing (HPC) and cloud platforms was limited during training but was higher after training, with 37% and 39% of courses indicating use, respectively. Conclusion: This landscape analysis identifies structural patterns, including geographic concentration of providers, predominance of introductory formats, variability in assessment practices and in the use of advanced computing infrastructure across training phases. The findings provide empirical insight into characteristics of pathogen genomics training that may inform efforts to strengthen coordinated and sustainable workforce development strategies.

Indexed as

GenomicsComputational BiologyHumansSurveys and Questionnairesbioinformatics traininggenomic surveillancepathogen genomicspublic health workforce developmenttraining programs

Identifiers

PMID42136599
PMCPMC13167935

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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.