Building sustainable epidemic analytics expertise across Central Africa
CEpiNet develops skills through a structured pathway combining courses, clinics, and hands-on internships. Our training programs are designed to build regional capacity in epidemic analytics, modelling, and decision support.
From foundational courses to advanced modelling practicums
Public health foundations and infectious disease epidemiology fundamentals
Data quality, surveillance interpretation, and epidemic analytics for decision-making
Hands-on quarterly sprints with real questions, datasets, and deliverables
Production-focused placements working on real outbreak analytics and modelling
Structured training modules for epidemic analytics foundations
Core concepts in outbreak investigation, surveillance systems, and response coordination.
Transmission dynamics, disease modeling basics, and epidemiological metrics.
Working with line lists, epidemic curves, and key performance indicators.
Translating data into actionable insights for public health decisions.
Short courses (1-2 weeks)
Certificate modules
Thematic schools
Université du Burundi / Niyukuri Lab
Learn more at Niyukuri Lab
INRB - Laboratory and genomic data for outbreak response
Standards, protocols, and ethical frameworks for outbreak data management.
Deduplication, linkage, and quality assurance for surveillance datasets.
Connecting laboratory testing data with epidemiological case information.
Using genomic data for outbreak response (subject to access frameworks).
Quarterly hands-on sprints for rapid skill development
Hands-on sprints where participants work intensively on a real question with a curated dataset, producing a deliverable in a fixed timeframe.
Work on actual decision-support challenges from recent or ongoing epidemics.
Pre-cleaned, quality-assured data ready for immediate analysis.
Intensive 3-5 day workshops with clear milestones and deliverables.
Produce scenario briefs, technical notes, or analytical reports by clinic end.