Evidence map›Paper›PMID 40022127›Full record

ArticleBMC proceedings2025

Pathways to strengthening the epidemic intelligence workforce.

Barbara Tornimbene, Zoila Beatriz Leiva Rioja, Olaolu Aderinola, Zulma M Cucunubá, Catalina González-Uribe, Danil Mihailov, Steven Riley, Sang-Woo Tak, Oliver Morgan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC proceedings, 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

9 authors.

Barbara TornimbeneWorld Health Organization Hub for Pandemic and Epidemic Intelligence, Berlin, Germany. tornimbeneb@who.int.
Zoila Beatriz Leiva RiojaCPC Analytics, Berlin, Germany.
Olaolu AderinolaNigeria Centre for Disease Control (NCDC), Abuja, Nigeria.
Zulma M CucunubáPontificia Universidad Javierana, Bogotá, Colombia.
Catalina González-UribeSchool of Medicine and Centre of Sustainable Development Goals for Latin America and the Caribbean, Universidad de los Andes, Bogotá, Colombia.
Danil MihailovData.Org, New York City, USA.
Steven RileyUK Health Security Agency (UKHSA), London, UK.
Sang-Woo TakKorea Disease Control and Prevention Agency (KDCA), Cheongju, South Korea.
Oliver MorganWorld Health Organization Hub for Pandemic and Epidemic Intelligence, Berlin, Germany.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The evolving landscape of public health surveillance demands a proficient and diverse workforce adept in data science and analysis. This report summarises discussions from the third session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, focusing on workforce readiness and technological advancements in epidemic intelligence. The forum emphasizes the necessity of multidisciplinary surveillance teams equipped with advanced data skills. Digital tools play a transformative role in data collection and analysis, enabling real-time tracking, integration, and interpretation of diverse data sources. However, effective surveillance relies on inclusive representation and skill development. Collaborative surveillance and interdisciplinary training programs were emphasized as critical pathways to enhance workforce capacity, decision-making, and equity in public health. Case studies from Nigeria, Korea, the UK, and Colombia showcase the role of digital tools and contextual expertise in addressing surveillance gaps. Sustained institutional support, cross-sector partnerships, and investments in data literacy and workforce development are pivotal for creating resilient and inclusive public health systems.

Indexed as

Collaborative governanceData science capacityEpidemic intelligencePublic health surveillanceWorkforce development

Identifiers

PMID40022127
PMCPMC11871633

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.