Evidence map›Paper›PMID 40542455›Full record

ArticleOne health outlook2025

Developing digital learning to help reduce laboratory inequalities: a viral haemorrhagic fever case study.

Matthew A Knox, Collette Bromhead, Watta Anthony, Varney Kamara, Catherine Wendland, Fleur Connor-Douglas, David T S Hayman

Abstract read
In one paragraph

Article in One health outlook, 2025. 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

7 authors.

Matthew A KnoxMassey University, Manawatu, Palmerston North, New Zealand. m.knox@massey.ac.nz.
Collette BromheadSchool of Health Sciences, Massey University, Wellington, New Zealand.
Watta AnthonyLeon Quist Ledlum Central Veterinary Diagnostic Laboratory, Ministry of Agriculture, Gardnersville, Monrovia, Republic of Liberia.
Varney KamaraLeon Quist Ledlum Central Veterinary Diagnostic Laboratory, Ministry of Agriculture, Gardnersville, Monrovia, Republic of Liberia.
Catherine WendlandMassey University, Manawatu, Palmerston North, New Zealand.
Fleur Connor-DouglasMassey University, Manawatu, Palmerston North, New Zealand.
David T S HaymanMassey University, Manawatu, Palmerston North, New Zealand.

Funding

Royal Society Te Apārangi Rutherford Discovery Fellowship RDF-MAU1701World Organisation for Animal Health 3000034275
6 · The paper itself

Abstract

Countries with the highest potential exposure to viral haemorrhagic fever viruses are also those with low expenditure on health services, limiting the capacity for surveillance and detection of these viruses, and effective treatment and outbreak containment. The COVID-19 pandemic further limited travel and in-person collaborative training opportunities for researchers, laboratory and public health professionals. Digital learning offers the prospect of addressing some of the shortfall in training needs. In this short report, we describe our experiences in the development of effective laboratory training tools using digital learning methods. We describe the teaching methodology, list barriers to successful implementation and offer some potential solutions.

Indexed as

Crimean-Congo haemorrhagic feverDigital learningEbola virus diseaseGlobal healthLassa feverOne healthRift Valley feverZoonoses

Identifiers

PMID40542455
PMCPMC12180177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.