ReviewMalaria journal2025
Strengthening local capacity for mathematical modelling in low- and middle-income countries: the process and lessons learnt in implementing the first cohort of Nigeria malaria modelling fellowships.
Review in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Global approaches to infectious disease surveillance and modeling.Nature medicine · 2026Review
- Building contextually-relevant training programs for scientific development: process and lessons learned in implementing two iterations of a faculty enrichment program in applied malaria modeling.Malaria journal · 2026Article
- Building contextually-relevant training programs for scientific development: process and lessons learned in implementing two iterations of a faculty enrichment program in applied malaria modeling.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
16 authors.
Funding
Abstract
backgroundMathematical modelling plays a crucial role in understanding malaria epidemiology and evaluating anti-malarial interventions. In sub-Saharan Africa, National Malaria Control Programs are increasingly collaborating with modellers to optimize impact within constrained fiscal environments and evaluate the effectiveness of ongoing malaria control efforts. Despite Nigeria's National Malaria Elimination Program soliciting modelling expertise, there remains a significant capacity gap in low- and middle-income countries (LMICs), including Nigeria. To address this, the Nigerian Malaria Modelling Fellowship (MMF) adopts a one-health approach within the Nigerian Field Epidemiology and Laboratory Training Program.
methodsThe MMF aims to enhance mathematical modelling capacity among Nigerian public health professionals by increasing the number of doctoral and postdoctoral graduates proficient in using modelling for planning, program evaluation, and outcome assessment. This paper highlights the initiative's innovative aspects and shares initial implementation insights.
resultsImplemented using a human-centred design, MMF is a collaborative effort involving multiple public health stakeholders. The curriculum spans four courses-Malaria, Mathematical Modelling, Evidence Translation, and Project Management-each with targeted modules. The first cohort recruitment attracted 2173 applications, rigorously screened through a five-step process, selecting 33 Fellows from all geopolitical zones of Nigeria. The cohort applies a one-health lens and includes 48% female representation. Key findings highlight the importance of government leadership, gender mainstreaming, stakeholder co-creation, leveraging existing investments, adopting best practices, and expanding engagement to meet national needs.
conclusionMMF demonstrates a collaborative effort to build modelling capacity among epidemiologists and healthcare professionals in LMICs, particularly for malaria. The rigorous recruitment process underscores a strong interest in mathematical modelling. The human-centred approach has fostered government leadership, multi-stakeholder engagement, and national ownership. This paper recommends increased commitments to local capacity strengthening in LMICs and advocates for evaluating the project, including assessing Fellows' competencies post-training to ensure effective capacity development.
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