COMMUNITY CASE STUDY article
Front. Public Health
Sec. Public Health Education and Promotion
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1636817
This article is part of the Research TopicEnhancing Public Health Workforce Competencies: AI Integration and Post-Pandemic Educational ReformsView all 7 articles
A Capacity Strengthening Model towards Self-reliant and Sustainable One-Health Workforce in six East African Community Partner States
Provisionally accepted- 1Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg, Germany
- 2Health Department, East African Community, Arusha, Tanzania
- 3Disease Surveillance and Epidemic Response, Kenya Ministry of Health, Nairobi, Kenya
- 4National Reference Laboratory, National Public Health Institute, Bujumbura, Burundi
- 5National Reference Laboratory, Ministry of Health, Juba, South Sudan
- 6National Public Health laboratory, United Republic of Tanzania Ministry of Health, Dar es Salaam, Tanzania
- 7Laboratory and Diagnostic Services, Republic of Uganda Ministry of Health, Kampala, Uganda
- 8Department of Biomedical Services, Rwanda Biomedical Center, Kigali, Rwanda
- 9Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg, Germany
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The burden of infectious diseases and antimicrobial resistance (AMR) in Africa highlights the critical need for strengthened genomic surveillance capacities that are embedded within the national public health framework. In the East African Community (EAC), this challenge is compounded by limited infrastructure and insufficient workforce capacity in bioinformatics and genomics, particularly within National Public Health Laboratories (NPHLs). This paper describes the implementation of a regional capacity-building initiative based on a multi-phase Training-of-Trainers (ToT) model across six EAC Partner States. Anchored in a One Health framework, the initiative focused on equipping public health professionals within NPHLs with practical skills in pathogen genomics, AMR analysis, and bioinformatics workflows, while also supporting the institutionalization of standardized procedures and tools. Through modular training, in-country cascade sessions, and structured mentorship, the program enabled integration of genomic approaches into public health surveillance activities. Despite infrastructural and operational constraints, the initiative supported measurable gains in applied proficiency, routine use of genomics tools in surveillance tasks, and regional coordination on pathogen data analysis. This case study outlines the program's design, implementation, and observed outcomes, and offers a transferable framework for workforce and systems development in low-resource settings. This experience contributes to ongoing global discussions on equitable genomic surveillance and preparedness by demonstrating how structured, context-specific training can support sustainable adoption of genomics within national public health institutions.
Keywords: Genomic surveillance, Bioinformatics Capacity Building, Training of Trainers (ToT), East African Community (EAC), National Public Health Laboratories (NPHLs), Antimicrobial resistance (AMR), One Health
Received: 28 May 2025; Accepted: 07 Jul 2025.
Copyright: © 2025 Nguinkal, Gehre, Lagu, Achol, Nzeyimana, Kiiru, Nyandwi, Dumo, Moremi, Nabadda, Mukagatare, Molina, May and Affara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Julien A. Nguinkal, Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.