Malaria Modelling Fellowship (MMF)
Building Modelling Capacity for Malaria Control
The Malaria Modelling Fellowship (MMF) is a partially funded programme that builds the modelling capacity of public health professionals to inform malaria and infectious disease control.
Fellows gain hands-on experience with mathematical and statistical models used to guide intervention strategies, resource allocation, and policy decisions across endemic regions.
The Problem
- Limited local capacity in mathematical modelling for disease control.
- Policy decisions often lack evidence from context-specific models.
- Modelling expertise is concentrated in a few global institutions.
- Insufficient training pathways for public health professionals in endemic countries.
KEY FEATURES
Structured Curriculum
Progressive training in mathematical and statistical modelling.
Real-World Application
Projects using local data to inform intervention strategies.
Expert Mentorship
Guidance from global modelling and public health experts.
Cross-Country Network
A growing community of modelling professionals across Africa.
Building the next generation of disease modelling professionals to inform malaria control across Africa.
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PROJECTS
CMS Health Insurance Management Information System
End-to-end enrolment and claims for state insurers, faster reimbursements, less fraud and clearer oversight under one secure platform.
CMS Health Insurance Management Information System
End-to-end enrolment and claims for state insurers, faster reimbursements, less fraud and clearer oversight under one secure platform.
Sauki AI Brief Generator
AI-powered plain-language briefs that distil peer-reviewed research into actionable insights for policymakers and programme leads.
Emergency Medical Services (EMS) System Design
Toll-free dispatch, triage scripts, GPS ambulances, and hospital handovers—an end-to-end EMS blueprint to cut response times.
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Shaping the future of health, data, and social development through evidence-driven solutions and transformative ideas