AMMnet Camerooon Chapter Trains FINISTECH Students and Health Professionals in Data Science for Malaria Control

The Fobang Institutes for Innovations in Science and Technologies (FINISTECH) in Yaoundé is hosting an international certified program on data science and mathematical modeling from December 8-12, 2025, bringing together diverse participants; researchers, policymakers, and students to strengthen their analytical skills in public health data manipulation.

Sponsored by the Global Applied Malaria Modeling Network (AMMnet Global) and coordinated by Professor Akindeh Nji, FINISTECH’s Vice-President for Research and Cooperation, AMMnet’s Cameroon Chapter Scientific Coordinator, and Associate Professor of Biostatistics and Disease control in the University of Yaoundé 1, the ongoing program is on its second week of implementation inline to the its intended one month-long duration rotating across different locations. We were honored to have participants from the Ministry of Health, all focused on transforming theoretical knowledge into practical expertise.

“This international program was brought to FINISTECH because research is one of our main drives,” explains Professor Akindeh Nji. “We handle extensive research on disease control, examining the impact of different interventions such as Seasonal Malaria Chemoprevention, Perennial Malaria Chemoprevention, vaccination, and other components in the fight against malaria. FINISTECH also runs a Health Analytics program, which gives students the opportunity to gain practical knowledge on data analysis and health analytics rather than just theoretical knowledge from the classroom.”

This training philosophy aligns perfectly with AMMnet’s mission. The network brings together health experts and modelers with quantitative skills from different continents, all passionate about malaria control. They collect and analyze data from malaria-endemic nations, seeking patterns and insights that can guide effective interventions. One of AMMnet’s core objectives is equipping professionals with the skills to extract meaningful insights from complex health data, enabling policymakers to make informed decisions about community and national disease control strategies.

This training philosophy aligns perfectly with AMMnet’s mission. The network brings together health experts and modelers with quantitative skills from different continents, all passionate about malaria control. They collect and analyze data from malaria-endemic nations, seeking patterns and insights that can guide effective interventions. One of AMMnet’s core objectives is equipping professionals with the skills to extract meaningful insights from complex health data, enabling policymakers to make informed decisions about community and national disease control strategies.

For FINISTECH Health Analytics Masters student Tatou Evan, the program has been transformative. “I am particularly excited about this training because it has enabled me to gain extra and practical knowledge outside the classroom, especially on malaria and data science and how they are being carried out in the field,” he says.

The week features intensive practical exercises designed to move participants beyond theory into real-world application. Researchers are learning to collect, clean, analyze, and interpret health data using advanced statistical and modeling techniques, skills immediately applicable to ongoing malaria research and broader public health challenges.

Located at Montée des Soeurs Simbock in Yaoundé, FINISTECH is a private university committed to delivering world-class education across health, sciences, technology, communication, and management disciplines at HND, Bachelors, and Masters level. The institution’s approach emphasizes professional education over general education, focusing on creating job creators rather than job seekers.

This AMMnet-sponsored training reinforces FINISTECH’s distinctive educational model, one that bridges the gap between classroom theory and field practice, equipping graduates with the practical analytical skills that health systems urgently need. As malaria and other diseases continue challenging communities across endemic regions, the ability to make data-driven decisions becomes increasingly critical. Programs like this ensure the next generation of health professionals can turn raw data into life-saving insights.

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