Evidence map›Paper›PMID 42088246›Full record

ArticleFrontiers in public health2026

Developing context-specific competencies for epidemic and pandemic preparedness in the MENA region: a training needs assessment and Delphi approach.

Sarah Ibrahim, Rim Alaeddine, Zahraa Chamseddine, Nour Zaouk, Zeinab Awad, Zahi Abdul-Sater, Shadi Saleh

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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.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sarah IbrahimGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Rim AlaeddineGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Zahraa ChamseddineGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Nour ZaoukGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Zeinab AwadGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Zahi Abdul-SaterGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Shadi SalehGlobal Health Institute, American University of Beirut, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Epidemics and pandemics continue to expose persistent preparedness gaps across the Middle East and North Africa (MENA), particularly in fragile and conflict-affected settings. Strengthening workforce capacities through context-specific competencies is critical for improving preparedness and enhancing health system resilience. Methods: Guided by the European Centre for Disease Prevention and Control (ECDC) preparedness framework, the study employed a two-phase mixed-methods design comprising a Training Needs Assessment (TNA) and Delphi survey. The TNA was administered to 95 professionals from 18 MENA countries. Gaps between perceived importance and ability to perform were analyzed quantitatively alongside thematic analysis of open responses. To ensure expert validation of these competencies, the Delphi survey was conducted and included 10 regional experts involved in two iterative online rounds and a consensus meeting to refine and prioritize competencies. Results: The TNA identified significant training gaps across all five ECDC preparedness domains, with the highest needs observed in Policy Development, Adaptation, and Implementation, Detection and Assessment and Health Services. Qualitative findings revealed additional barriers, including resource shortages, weak governance, and limited access to training opportunities. The Delphi process refined these findings, allowing experts to prioritize competencies as basic, core, essential, or omitted. Of the 99 competencies, 71 were classified as essential, 23 as core, and 5 as basic. The results of the surveys directly informed the focus and content of the certificate in epidemic and pandemic preparedness. Conclusion: This study utilized the ECDC preparedness framework to assess and refine competencies for epidemic and pandemic preparedness in the MENA region. Through a TNA and Delphi approach, it produced validated, context-specific competencies that informed the design of a contextualized regional certificate. The findings underscored the critical need for targeted training programs that address both immediate and long-term challenges in health system resilience in the MENA region.

Indexed as

EpidemicsNeeds AssessmentPandemic PreparednessPandemicsProfessional CompetenceAfrica, NorthernDelphi TechniqueHumansMiddle EastPublic Health Infrastructurecontext-specific competenciesDelphi methodepidemic preparednesshealth systems strengtheningMiddle East and North Africa (MENA)pandemic preparednesspublic health workforcetraining needs assessment

Identifiers

PMID42088246
PMCPMC13136252

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.